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710
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|
079ec0d283 |
@@ -0,0 +1,21 @@
|
||||
name: CI
|
||||
|
||||
on:
|
||||
push:
|
||||
branches:
|
||||
- master
|
||||
pull_request:
|
||||
|
||||
jobs:
|
||||
build:
|
||||
runs-on: ubuntu-latest
|
||||
strategy:
|
||||
matrix:
|
||||
compiler: [gcc, clang]
|
||||
|
||||
steps:
|
||||
- name: Checkout minimap2
|
||||
uses: actions/checkout@v2
|
||||
|
||||
- name: Compile with ${{ matrix.compiler }}
|
||||
run: make CC=${{ matrix.compiler }}
|
||||
@@ -4,3 +4,5 @@
|
||||
*.a
|
||||
*.o
|
||||
*.dSYM
|
||||
minimap2
|
||||
mappy.c
|
||||
|
||||
@@ -0,0 +1,6 @@
|
||||
[submodule "lib/simde"]
|
||||
path = lib/simde
|
||||
url = https://github.com/nemequ/simde.git
|
||||
[submodule "ext/TAL"]
|
||||
path = ext/TAL
|
||||
url = https://github.com/IntelLabs/Trans-Omics-Acceleration-Library.git
|
||||
+24
-5
@@ -1,5 +1,24 @@
|
||||
language: c
|
||||
compiler:
|
||||
- gcc
|
||||
- clang
|
||||
script: make
|
||||
matrix:
|
||||
include:
|
||||
- language: c
|
||||
compiler: gcc
|
||||
script: make
|
||||
- language: c
|
||||
compiler: clang
|
||||
script: make
|
||||
- arch: arm64
|
||||
language: c
|
||||
compiler: gcc
|
||||
script: make arm_neon=1 aarch64=1
|
||||
- language: python
|
||||
python: "2.7"
|
||||
before_install: pip install cython
|
||||
script: python setup.py build_ext
|
||||
- language: python
|
||||
python: "3.5"
|
||||
before_install: pip install cython
|
||||
script: python setup.py build_ext
|
||||
- language: python
|
||||
python: "3.9"
|
||||
before_install: pip install cython
|
||||
script: python setup.py build_ext
|
||||
|
||||
@@ -0,0 +1,46 @@
|
||||
#### 1. Alignment different with option `-a` or `-c`?
|
||||
|
||||
Without `-a`, `-c` or `--cs`, minimap2 only finds *approximate* mapping
|
||||
locations without detailed base alignment. In particular, the start and end
|
||||
positions of the alignment are impricise. With one of those options, minimap2
|
||||
will perform base alignment, which is generally more accurate but is much
|
||||
slower.
|
||||
|
||||
#### 2. How to map Illumina short reads to noisy long reads?
|
||||
|
||||
No good solutions. The better approach is to assemble short reads into contigs
|
||||
and then map noisy reads to contigs.
|
||||
|
||||
#### 3. The output SAM doesn't have a header.
|
||||
|
||||
By default, minimap2 indexes 4 billion reference bases (4Gb) in a batch and map
|
||||
all reads against each reference batch. Given a reference longer than 4Gb,
|
||||
minimap2 is unable to see all the sequences and thus can't produce a correct
|
||||
SAM header. In this case, minimap2 doesn't output any SAM header. There are two
|
||||
solutions to this issue. First, you may increase option `-I` to, for example,
|
||||
`-I8g` to index more reference bases in a batch. This is preferred if your
|
||||
machine has enough memory. Second, if your machines doesn't have enough memory
|
||||
to hold the reference index, you can use the `--split-prefix` option in a
|
||||
command line like:
|
||||
```sh
|
||||
minimap2 -ax map-ont --split-prefix=tmp ref.fa reads.fq
|
||||
```
|
||||
This second approach uses less memory, but it is slower and requires temporary
|
||||
disk space.
|
||||
|
||||
#### 4. The output SAM is malformatted.
|
||||
|
||||
This typically happens when you use nohup to wrap a minimap2 command line.
|
||||
Nohup is discouraged as it breaks piping. If you have to use nohup, please
|
||||
specify an output file with option `-o`.
|
||||
|
||||
#### 5. How to output one alignment per read?
|
||||
|
||||
You can use `--secondary=no` to suppress secondary alignments (aka multiple
|
||||
mappings), but you can't suppress supplementary alignment (aka split or
|
||||
chimeric alignment) this way. You can use samtools to filter out these
|
||||
alignments:
|
||||
```sh
|
||||
minimap2 -ax map-out ref.fa reads.fq | samtools view -F0x900
|
||||
```
|
||||
However, this is discouraged as supplementary alignment is informative.
|
||||
+2
-1
@@ -1,6 +1,7 @@
|
||||
The MIT License
|
||||
|
||||
Copyright (c) 2017 Broad Institute, Inc.
|
||||
Copyright (c) 2018- Dana-Farber Cancer Institute
|
||||
2017-2018 Broad Institute, Inc.
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining
|
||||
a copy of this software and associated documentation files (the
|
||||
|
||||
+10
@@ -0,0 +1,10 @@
|
||||
include *.h
|
||||
include Makefile
|
||||
include ksw2_dispatch.c
|
||||
include main.c
|
||||
include README.md
|
||||
include sse2neon/emmintrin.h
|
||||
include python/cmappy.h
|
||||
include python/cmappy.pxd
|
||||
include python/mappy.pyx
|
||||
include python/README.rst
|
||||
@@ -1,18 +1,82 @@
|
||||
CC= gcc
|
||||
CFLAGS= -g -Wall -O2 -Wc++-compat
|
||||
CPPFLAGS= -DHAVE_KALLOC
|
||||
INCLUDES=
|
||||
OBJS= kthread.o kalloc.o misc.o bseq.o sketch.o sdust.o index.o chain.o align.o hit.o map.o format.o ksw2_ll_sse.o
|
||||
CFLAGS= -g -Wall -O2 -Wc++-compat #-Wextra
|
||||
CPPFLAGS= -DHAVE_KALLOC #-march=native #-DALIGN_AVX -DPARALLEL_CHAINING #-DMANUAL_PROFILING
|
||||
COMP_FLAG = -march=native
|
||||
|
||||
ifeq ($(avx2_compile), 1)
|
||||
COMP_FLAG = -mavx2
|
||||
endif
|
||||
|
||||
#CPPFLAGS= -DHAVE_KALLOC -mavx2 -DALIGN_AVX -DAPPLY_AVX2 -DPARALLEL_CHAINING #-DLISA_HASH -DUINT64 -DVECTORIZE #-DMANUAL_PROFILING
|
||||
#CPPFLAGS= -DHAVE_KALLOC -mavx2 -DPARALLEL_CHAINING #-DMANUAL_PROFILING
|
||||
|
||||
OPT_FLAGS= -DPARALLEL_CHAINING -DALIGN_AVX -DAPPLY_AVX2
|
||||
OPT_FLAGS+=$(COMP_FLAG)
|
||||
ifeq ($(lhash_index), 1)
|
||||
CPPFLAGS+= -DLISA_INDEX
|
||||
endif
|
||||
ifeq ($(lhash), 1)
|
||||
OPT_FLAGS+= -DLISA_HASH -DUINT64 -DVECTORIZE
|
||||
endif
|
||||
ifeq ($(manual_profile), 1)
|
||||
CPPFLAGS+= -DMANUAL_PROFILING
|
||||
endif
|
||||
|
||||
#ifeq ($(use_avx2), 1)
|
||||
# OPT_FLAGS+= -DAPPLY_AVX2
|
||||
#endif
|
||||
|
||||
ifeq ($(disable_output), 1)
|
||||
CPPFLAGS+= -DDISABLE_OUTPUT
|
||||
endif
|
||||
|
||||
ifeq ($(no_opt),)
|
||||
CPPFLAGS+= $(OPT_FLAGS)
|
||||
endif
|
||||
|
||||
|
||||
|
||||
#INCLUDES=
|
||||
#INCLUDES= -I./ext/TAL_offline/src/LISA-hash #-I./ext/TAL/src/dynamic-programming
|
||||
INCLUDES= -I./ext/TAL/src/LISA-hash -I./ext/TAL/src/dynamic-programming
|
||||
OBJS= kthread.o kalloc.o misc.o bseq.o sketch.o sdust.o options.o index.o \
|
||||
lchain.o align.o hit.o seed.o map.o format.o pe.o esterr.o splitidx.o \
|
||||
ksw2_ll_sse.o
|
||||
PROG= minimap2
|
||||
PROG_EXTRA= sdust minimap2-lite
|
||||
LIBS= -lm -lz -lpthread
|
||||
|
||||
ifeq ($(sse2only),)
|
||||
OBJS+=ksw2_extz2_sse41.o ksw2_extd2_sse41.o ksw2_exts2_sse41.o ksw2_extz2_sse2.o ksw2_extd2_sse2.o ksw2_exts2_sse2.o ksw2_dispatch.o
|
||||
else
|
||||
OBJS+=ksw2_extz2_sse.o ksw2_extd2_sse.o ksw2_exts2_sse.o
|
||||
CC=$(CXX)
|
||||
ifeq ($(CC), g++)
|
||||
CC=g++ -std=c++11
|
||||
endif
|
||||
|
||||
ifeq ($(arm_neon),) # if arm_neon is not defined
|
||||
ifeq ($(sse2only),) # if sse2only is not defined
|
||||
OBJS+=ksw2_extz2_sse41.o ksw2_extd2_sse41.o ksw2_exts2_sse41.o ksw2_extz2_sse2.o ksw2_extd2_sse2.o ksw2_exts2_sse2.o ksw2_dispatch.o ksw2_extd2_avx.o
|
||||
else # if sse2only is defined
|
||||
OBJS+=ksw2_extz2_sse.o ksw2_extd2_sse.o ksw2_exts2_sse.o
|
||||
endif
|
||||
else # if arm_neon is defined
|
||||
OBJS+=ksw2_extz2_neon.o ksw2_extd2_neon.o ksw2_exts2_neon.o
|
||||
INCLUDES+=-Isse2neon
|
||||
ifeq ($(aarch64),) #if aarch64 is not defined
|
||||
CFLAGS+=-D_FILE_OFFSET_BITS=64 -mfpu=neon -fsigned-char
|
||||
else #if aarch64 is defined
|
||||
CFLAGS+=-D_FILE_OFFSET_BITS=64 -fsigned-char
|
||||
endif
|
||||
endif
|
||||
|
||||
ifneq ($(asan),)
|
||||
CFLAGS+=-fsanitize=address
|
||||
LIBS+=-fsanitize=address
|
||||
endif
|
||||
|
||||
ifneq ($(tsan),)
|
||||
CFLAGS+=-fsanitize=thread
|
||||
LIBS+=-fsanitize=thread
|
||||
endif
|
||||
|
||||
.PHONY:all extra clean depend
|
||||
.SUFFIXES:.c .o
|
||||
|
||||
.c.o:
|
||||
@@ -22,8 +86,8 @@ all:$(PROG)
|
||||
|
||||
extra:all $(PROG_EXTRA)
|
||||
|
||||
minimap2:main.o getopt.o libminimap2.a
|
||||
$(CC) $(CFLAGS) main.o getopt.o -o $@ -L. -lminimap2 $(LIBS)
|
||||
minimap2:main.o libminimap2.a
|
||||
$(CC) $(CFLAGS) main.o -o $@ -L. -lminimap2 $(LIBS)
|
||||
|
||||
minimap2-lite:example.o libminimap2.a
|
||||
$(CC) $(CFLAGS) $< -o $@ -L. -lminimap2 $(LIBS)
|
||||
@@ -31,53 +95,91 @@ minimap2-lite:example.o libminimap2.a
|
||||
libminimap2.a:$(OBJS)
|
||||
$(AR) -csru $@ $(OBJS)
|
||||
|
||||
sdust:sdust.c getopt.o kalloc.o kalloc.h kdq.h kvec.h kseq.h sdust.h
|
||||
$(CC) -D_SDUST_MAIN $(CFLAGS) $< getopt.o kalloc.o -o $@ -lz
|
||||
sdust:sdust.c kalloc.o kalloc.h kdq.h kvec.h kseq.h ketopt.h sdust.h
|
||||
$(CC) -D_SDUST_MAIN $(CFLAGS) $< kalloc.o -o $@ -lz
|
||||
|
||||
multi:
|
||||
$(MAKE) clean
|
||||
$(MAKE)
|
||||
mv minimap2 mm2-fast
|
||||
$(MAKE) clean
|
||||
$(MAKE) lhash=1
|
||||
mv minimap2 mm2-fast-lhash
|
||||
$(MAKE) clean
|
||||
$(MAKE) no_opt=1
|
||||
mv minimap2 mm2-fast-no-opt
|
||||
|
||||
# SSE-specific targets on x86/x86_64
|
||||
|
||||
ifeq ($(arm_neon),) # if arm_neon is defined, compile this target with the default setting (i.e. no -msse2)
|
||||
ksw2_ll_sse.o:ksw2_ll_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c $(CFLAGS) -msse2 $(CPPFLAGS) $(INCLUDES) $< -o $@
|
||||
endif
|
||||
|
||||
ksw2_extz2_sse41.o:ksw2_extz2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c -msse4 $(CFLAGS) $(CPPFLAGS) -DKSW_CPU_DISPATCH $(INCLUDES) $< -o $@
|
||||
$(CC) -c $(CFLAGS) -msse4.1 $(CPPFLAGS) -DKSW_CPU_DISPATCH $(INCLUDES) $< -o $@
|
||||
|
||||
ksw2_extz2_sse2.o:ksw2_extz2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c $(CFLAGS) $(CPPFLAGS) -DKSW_CPU_DISPATCH -DKSW_SSE2_ONLY $(INCLUDES) $< -o $@
|
||||
$(CC) -c $(CFLAGS) -msse2 -mno-sse4.1 $(CPPFLAGS) -DKSW_CPU_DISPATCH -DKSW_SSE2_ONLY $(INCLUDES) $< -o $@
|
||||
|
||||
ksw2_extd2_sse41.o:ksw2_extd2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c -msse4 $(CFLAGS) $(CPPFLAGS) -DKSW_CPU_DISPATCH $(INCLUDES) $< -o $@
|
||||
$(CC) -c $(CFLAGS) -msse4.1 $(CPPFLAGS) -DKSW_CPU_DISPATCH $(INCLUDES) $< -o $@
|
||||
|
||||
ksw2_extd2_sse2.o:ksw2_extd2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c $(CFLAGS) $(CPPFLAGS) -DKSW_CPU_DISPATCH -DKSW_SSE2_ONLY $(INCLUDES) $< -o $@
|
||||
$(CC) -c $(CFLAGS) -msse2 -mno-sse4.1 $(CPPFLAGS) -DKSW_CPU_DISPATCH -DKSW_SSE2_ONLY $(INCLUDES) $< -o $@
|
||||
|
||||
ksw2_exts2_sse41.o:ksw2_exts2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c -msse4 $(CFLAGS) $(CPPFLAGS) -DKSW_CPU_DISPATCH $(INCLUDES) $< -o $@
|
||||
$(CC) -c $(CFLAGS) -msse4.1 $(CPPFLAGS) -DKSW_CPU_DISPATCH $(INCLUDES) $< -o $@
|
||||
|
||||
ksw2_exts2_sse2.o:ksw2_exts2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c $(CFLAGS) $(CPPFLAGS) -DKSW_CPU_DISPATCH -DKSW_SSE2_ONLY $(INCLUDES) $< -o $@
|
||||
$(CC) -c $(CFLAGS) -msse2 -mno-sse4.1 $(CPPFLAGS) -DKSW_CPU_DISPATCH -DKSW_SSE2_ONLY $(INCLUDES) $< -o $@
|
||||
|
||||
ksw2_dispatch.o:ksw2_dispatch.c ksw2.h
|
||||
$(CC) -c $(CFLAGS) $(CPPFLAGS) -DKSW_CPU_DISPATCH $(INCLUDES) $< -o $@
|
||||
$(CC) -c $(CFLAGS) -msse4.1 $(CPPFLAGS) -DKSW_CPU_DISPATCH $(INCLUDES) $< -o $@
|
||||
|
||||
# NEON-specific targets on ARM
|
||||
|
||||
ksw2_extz2_neon.o:ksw2_extz2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c $(CFLAGS) $(CPPFLAGS) -DKSW_SSE2_ONLY -D__SSE2__ $(INCLUDES) $< -o $@
|
||||
|
||||
ksw2_extd2_neon.o:ksw2_extd2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c $(CFLAGS) $(CPPFLAGS) -DKSW_SSE2_ONLY -D__SSE2__ $(INCLUDES) $< -o $@
|
||||
|
||||
ksw2_exts2_neon.o:ksw2_exts2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c $(CFLAGS) $(CPPFLAGS) -DKSW_SSE2_ONLY -D__SSE2__ $(INCLUDES) $< -o $@
|
||||
|
||||
# other non-file targets
|
||||
|
||||
clean:
|
||||
rm -fr gmon.out *.o a.out $(PROG) $(PROG_EXTRA) *~ *.a *.dSYM session*
|
||||
rm -fr gmon.out *.o a.out $(PROG) $(PROG_EXTRA) *~ *.a *.dSYM build dist mappy*.so mappy.c python/mappy.c mappy.egg*
|
||||
|
||||
depend:
|
||||
(LC_ALL=C; export LC_ALL; makedepend -Y -- $(CFLAGS) $(CPPFLAGS) -- *.c)
|
||||
|
||||
# DO NOT DELETE
|
||||
|
||||
align.o: minimap.h mmpriv.h bseq.h ksw2.h kalloc.h
|
||||
bseq.o: bseq.h kseq.h
|
||||
chain.o: minimap.h mmpriv.h bseq.h kalloc.h
|
||||
align.o: minimap.h mmpriv.h bseq.h kseq.h ksw2.h kalloc.h
|
||||
bseq.o: bseq.h kvec.h kalloc.h kseq.h
|
||||
esterr.o: mmpriv.h minimap.h bseq.h kseq.h
|
||||
example.o: minimap.h kseq.h
|
||||
format.o: kalloc.h mmpriv.h minimap.h bseq.h
|
||||
getopt.o: getopt.h
|
||||
hit.o: mmpriv.h minimap.h bseq.h kalloc.h
|
||||
index.o: kthread.h bseq.h minimap.h mmpriv.h kvec.h kalloc.h khash.h
|
||||
format.o: kalloc.h mmpriv.h minimap.h bseq.h kseq.h
|
||||
hit.o: mmpriv.h minimap.h bseq.h kseq.h kalloc.h khash.h
|
||||
index.o: kthread.h bseq.h minimap.h mmpriv.h kseq.h kvec.h kalloc.h khash.h
|
||||
index.o: ksort.h
|
||||
kalloc.o: kalloc.h
|
||||
ksw2_extd2_sse.o: ksw2.h kalloc.h
|
||||
ksw2_exts2_sse.o: ksw2.h kalloc.h
|
||||
ksw2_extz2_sse.o: ksw2.h kalloc.h
|
||||
ksw2_ll_sse.o: ksw2.h kalloc.h
|
||||
main.o: bseq.h minimap.h mmpriv.h getopt.h
|
||||
map.o: kthread.h kvec.h kalloc.h sdust.h mmpriv.h minimap.h bseq.h
|
||||
misc.o: minimap.h ksort.h
|
||||
kthread.o: kthread.h
|
||||
lchain.o: mmpriv.h minimap.h bseq.h kseq.h kalloc.h krmq.h
|
||||
main.o: bseq.h minimap.h mmpriv.h kseq.h ketopt.h
|
||||
map.o: kthread.h kvec.h kalloc.h sdust.h mmpriv.h minimap.h bseq.h kseq.h
|
||||
map.o: khash.h ksort.h
|
||||
misc.o: mmpriv.h minimap.h bseq.h kseq.h ksort.h
|
||||
options.o: mmpriv.h minimap.h bseq.h kseq.h
|
||||
pe.o: mmpriv.h minimap.h bseq.h kseq.h kvec.h kalloc.h ksort.h
|
||||
sdust.o: kalloc.h kdq.h kvec.h sdust.h
|
||||
sketch.o: kvec.h kalloc.h minimap.h
|
||||
seed.o: mmpriv.h minimap.h bseq.h kseq.h kalloc.h ksort.h
|
||||
sketch.o: kvec.h kalloc.h mmpriv.h minimap.h bseq.h kseq.h
|
||||
splitidx.o: mmpriv.h minimap.h bseq.h kseq.h
|
||||
|
||||
@@ -0,0 +1,97 @@
|
||||
CFLAGS= -g -Wall -O2 -Wc++-compat #-Wextra
|
||||
CPPFLAGS= -DHAVE_KALLOC -DUSE_SIMDE -DSIMDE_ENABLE_NATIVE_ALIASES
|
||||
INCLUDES= -Ilib/simde
|
||||
OBJS= kthread.o kalloc.o misc.o bseq.o sketch.o sdust.o options.o index.o lchain.o align.o hit.o map.o format.o pe.o seed.o esterr.o splitidx.o \
|
||||
ksw2_extz2_simde.o ksw2_extd2_simde.o ksw2_exts2_simde.o ksw2_ll_simde.o
|
||||
PROG= minimap2
|
||||
PROG_EXTRA= sdust minimap2-lite
|
||||
LIBS= -lm -lz -lpthread
|
||||
|
||||
|
||||
ifneq ($(arm_neon),) # if arm_neon is defined
|
||||
ifeq ($(aarch64),) #if aarch64 is not defined
|
||||
CFLAGS+=-D_FILE_OFFSET_BITS=64 -mfpu=neon -fsigned-char
|
||||
else #if aarch64 is defined
|
||||
CFLAGS+=-D_FILE_OFFSET_BITS=64 -fsigned-char
|
||||
endif
|
||||
endif
|
||||
|
||||
ifneq ($(asan),)
|
||||
CFLAGS+=-fsanitize=address
|
||||
LIBS+=-fsanitize=address
|
||||
endif
|
||||
|
||||
ifneq ($(tsan),)
|
||||
CFLAGS+=-fsanitize=thread
|
||||
LIBS+=-fsanitize=thread
|
||||
endif
|
||||
|
||||
.PHONY:all extra clean depend
|
||||
.SUFFIXES:.c .o
|
||||
|
||||
.c.o:
|
||||
$(CC) -c $(CFLAGS) $(CPPFLAGS) $(INCLUDES) $< -o $@
|
||||
|
||||
all:$(PROG)
|
||||
|
||||
extra:all $(PROG_EXTRA)
|
||||
|
||||
minimap2:main.o libminimap2.a
|
||||
$(CC) $(CFLAGS) main.o -o $@ -L. -lminimap2 $(LIBS)
|
||||
|
||||
minimap2-lite:example.o libminimap2.a
|
||||
$(CC) $(CFLAGS) $< -o $@ -L. -lminimap2 $(LIBS)
|
||||
|
||||
libminimap2.a:$(OBJS)
|
||||
$(AR) -csru $@ $(OBJS)
|
||||
|
||||
sdust:sdust.c kalloc.o kalloc.h kdq.h kvec.h kseq.h ketopt.h sdust.h
|
||||
$(CC) -D_SDUST_MAIN $(CFLAGS) $< kalloc.o -o $@ -lz
|
||||
|
||||
ksw2_ll_simde.o:ksw2_ll_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c $(CFLAGS) -msse2 $(CPPFLAGS) $(INCLUDES) $< -o $@
|
||||
|
||||
ksw2_extz2_simde.o:ksw2_extz2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c $(CFLAGS) -msse4.1 $(CPPFLAGS) $(INCLUDES) $< -o $@
|
||||
|
||||
ksw2_extd2_simde.o:ksw2_extd2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c $(CFLAGS) -msse4.1 $(CPPFLAGS) $(INCLUDES) $< -o $@
|
||||
|
||||
ksw2_exts2_simde.o:ksw2_exts2_sse.c ksw2.h kalloc.h
|
||||
$(CC) -c $(CFLAGS) -msse4.1 $(CPPFLAGS) $(INCLUDES) $< -o $@
|
||||
|
||||
# other non-file targets
|
||||
|
||||
clean:
|
||||
rm -fr gmon.out *.o a.out $(PROG) $(PROG_EXTRA) *~ *.a *.dSYM build dist mappy*.so mappy.c python/mappy.c mappy.egg*
|
||||
|
||||
depend:
|
||||
(LC_ALL=C; export LC_ALL; makedepend -Y -- $(CFLAGS) $(CPPFLAGS) -- *.c)
|
||||
|
||||
# DO NOT DELETE
|
||||
|
||||
align.o: minimap.h mmpriv.h bseq.h kseq.h ksw2.h kalloc.h
|
||||
bseq.o: bseq.h kvec.h kalloc.h kseq.h
|
||||
chain.o: minimap.h mmpriv.h bseq.h kseq.h kalloc.h
|
||||
esterr.o: mmpriv.h minimap.h bseq.h kseq.h
|
||||
example.o: minimap.h kseq.h
|
||||
format.o: kalloc.h mmpriv.h minimap.h bseq.h kseq.h
|
||||
hit.o: mmpriv.h minimap.h bseq.h kseq.h kalloc.h khash.h
|
||||
index.o: kthread.h bseq.h minimap.h mmpriv.h kseq.h kvec.h kalloc.h khash.h
|
||||
index.o: ksort.h
|
||||
kalloc.o: kalloc.h
|
||||
ksw2_extd2_sse.o: ksw2.h kalloc.h
|
||||
ksw2_exts2_sse.o: ksw2.h kalloc.h
|
||||
ksw2_extz2_sse.o: ksw2.h kalloc.h
|
||||
ksw2_ll_sse.o: ksw2.h kalloc.h
|
||||
kthread.o: kthread.h
|
||||
main.o: bseq.h minimap.h mmpriv.h kseq.h ketopt.h
|
||||
map.o: kthread.h kvec.h kalloc.h sdust.h mmpriv.h minimap.h bseq.h kseq.h
|
||||
map.o: khash.h ksort.h
|
||||
misc.o: mmpriv.h minimap.h bseq.h kseq.h ksort.h
|
||||
options.o: mmpriv.h minimap.h bseq.h kseq.h
|
||||
pe.o: mmpriv.h minimap.h bseq.h kseq.h kvec.h kalloc.h ksort.h
|
||||
sdust.o: kalloc.h kdq.h kvec.h sdust.h
|
||||
self-chain.o: minimap.h kseq.h
|
||||
sketch.o: kvec.h kalloc.h mmpriv.h minimap.h bseq.h kseq.h
|
||||
splitidx.o: mmpriv.h minimap.h bseq.h kseq.h
|
||||
@@ -1,3 +1,697 @@
|
||||
Release 2.22-r1101 (7 August 2021)
|
||||
----------------------------------
|
||||
|
||||
When choosing the best alignment, this release uses logarithm gap penalty and
|
||||
query-specific mismatch penalty. It improves the sensitivity to long INDELs in
|
||||
repetitive regions.
|
||||
|
||||
Other notable changes:
|
||||
|
||||
* Bugfix: fixed an indirect memory leak that may waste a large amount of
|
||||
memory given highly repetitive reference such as a 16S RNA database (#749).
|
||||
All versions of minimap2 have this issue.
|
||||
|
||||
* New feature: added --cap-kalloc to reduce the peak memory. This option is
|
||||
not enabled by default but may become the default in future releases.
|
||||
|
||||
Known issue:
|
||||
|
||||
* Minimap2 may take a long time to map a read (#771). So far it is not clear
|
||||
if this happens to v2.18 and earlier versions.
|
||||
|
||||
(2.22: 7 August 2021, r1101)
|
||||
|
||||
|
||||
|
||||
Release 2.21-r1071 (6 July 2021)
|
||||
--------------------------------
|
||||
|
||||
This release fixed a regression in short-read mapping introduced in v2.19
|
||||
(#776). It also fixed invalid comparisons of uninitialized variables, though
|
||||
these are harmless (#752). Long-read alignment should be identical to v2.20.
|
||||
|
||||
(2.21: 6 July 2021, r1071)
|
||||
|
||||
|
||||
|
||||
Release 2.20-r1061 (27 May 2021)
|
||||
--------------------------------
|
||||
|
||||
This release fixed a bug in the Python module and improves the command-line
|
||||
compatibiliity with v2.18. In v2.19, if `-r` is specified with an `asm*` preset,
|
||||
users would get alignments more fragmented than v2.18. This could be an issue
|
||||
for existing pipelines specifying `-r`. This release resolves this issue.
|
||||
|
||||
(2.20: 27 May 2021, r1061)
|
||||
|
||||
|
||||
|
||||
Release 2.19-r1057 (26 May 2021)
|
||||
--------------------------------
|
||||
|
||||
This release includes a few important improvements backported from unimap:
|
||||
|
||||
* Improvement: more contiguous alignment through long INDELs. This is enabled
|
||||
by the minigraph chaining algorithm. All `asm*` presets now use the new
|
||||
algorithm. They can find INDELs up to 100kb and may be faster for
|
||||
chromosome-long contigs. The default mode and `map*` presets use this
|
||||
algorithm to replace the long-join heuristic.
|
||||
|
||||
* Improvement: better alignment in highly repetitive regions by rescuing
|
||||
high-occurrence seeds. If the distance between two adjacent seeds is too
|
||||
large, attempt to choose a fraction of high-occurrence seeds in-between.
|
||||
Minimap2 now produces fewer clippings and alignment break points in long
|
||||
satellite regions.
|
||||
|
||||
* Improvement: allow to specify an interval of k-mer occurrences with `-U`.
|
||||
For repeat-rich genomes, the automatic k-mer occurrence threshold determined
|
||||
by `-f` may be too large and makes alignment impractically slow. The new
|
||||
option protects against such cases. Enabled for `asm*` and `map-hifi`.
|
||||
|
||||
* New feature: added the `map-hifi` preset for maping PacBio High-Fidelity
|
||||
(HiFi) reads.
|
||||
|
||||
* Change to the default: apply `--cap-sw-mem=100m` for genomic alignment.
|
||||
|
||||
* Bugfix: minimap2 could not generate an index file with `-xsr` (#734).
|
||||
|
||||
This release represents the most signficant algorithmic change since v2.1 in
|
||||
2017. With features backported from unimap, minimap2 now has similar power to
|
||||
unimap for contig alignment. Unimap will remain an experimental project and is
|
||||
no longer recommended over minimap2. Sorry for reverting the recommendation in
|
||||
short time.
|
||||
|
||||
(2.19: 26 May 2021, r1057)
|
||||
|
||||
|
||||
|
||||
Release 2.18-r1015 (9 April 2021)
|
||||
---------------------------------
|
||||
|
||||
This release fixes multiple rare bugs in minimap2 and adds additional
|
||||
functionality to paftools.js.
|
||||
|
||||
Changes to minimap2:
|
||||
|
||||
* Bugfix: a rare segfault caused by an off-by-one error (#489)
|
||||
|
||||
* Bugfix: minimap2 segfaulted due to an uninitilized variable (#622 and #625).
|
||||
|
||||
* Bugfix: minimap2 parsed spaces as field separators in BED (#721). This led
|
||||
to issues when the BED name column contains spaces.
|
||||
|
||||
* Bugfix: minimap2 `--split-prefix` did not work with long reference names
|
||||
(#394).
|
||||
|
||||
* Bugfix: option `--junc-bonus` didn't work (#513)
|
||||
|
||||
* Bugfix: minimap2 didn't return 1 on I/O errors (#532)
|
||||
|
||||
* Bugfix: the `de:f` tag (sequence divergence) could be negative if there were
|
||||
ambiguous bases
|
||||
|
||||
* Bugfix: fixed two undefined behaviors caused by calling memcpy() on
|
||||
zero-length blocks (#443)
|
||||
|
||||
* Bugfix: there were duplicated SAM @SQ lines if option `--split-prefix` is in
|
||||
use (#400 and #527)
|
||||
|
||||
* Bugfix: option -K had to be smaller than 2 billion (#491). This was caused
|
||||
by a 32-bit integer overflow.
|
||||
|
||||
* Improvement: optionally compile against SIMDe (#597). Minimap2 should work
|
||||
with IBM POWER CPUs, though this has not been tested. To compile with SIMDe,
|
||||
please use `make -f Makefile.simde`.
|
||||
|
||||
* Improvement: more informative error message for I/O errors (#454) and for
|
||||
FASTQ parsing errors (#510)
|
||||
|
||||
* Improvement: abort given malformatted RG line (#541)
|
||||
|
||||
* Improvement: better formula to estimate the `dv:f` tag (approximate sequence
|
||||
divergence). See DOI:10.1101/2021.01.15.426881.
|
||||
|
||||
* New feature: added the `--mask-len` option to fine control the removal of
|
||||
redundant hits (#659). The default behavior is unchanged.
|
||||
|
||||
Changes to mappy:
|
||||
|
||||
* Bugfix: mappy caused segmentation fault if the reference index is not
|
||||
present (#413).
|
||||
|
||||
* Bugfix: fixed a memory leak via 238b6bb3
|
||||
|
||||
* Change: always require Cython to compile the mappy module (#723). Older
|
||||
mappy packages at PyPI bundled the C source code generated by Cython such
|
||||
that end users did not need to install Cython to compile mappy. However, as
|
||||
Python 3.9 is breaking backward compatibility, older mappy does not work
|
||||
with Python 3.9 anymore. We have to add this Cython dependency as a
|
||||
workaround.
|
||||
|
||||
Changes to paftools.js:
|
||||
|
||||
* Bugfix: the "part10-" line from asmgene was wrong (#581)
|
||||
|
||||
* Improvement: compatibility with GTF files from GenBank (#422)
|
||||
|
||||
* New feature: asmgene also checks missing multi-copy genes
|
||||
|
||||
* New feature: added the misjoin command to evaluate large-scale misjoins and
|
||||
megabase-long inversions.
|
||||
|
||||
Although given the many bug fixes and minor improvements, the core algorithm
|
||||
stays the same. This version of minimap2 produces nearly identical alignments
|
||||
to v2.17 except very rare corner cases.
|
||||
|
||||
Now unimap is recommended over minimap2 for aligning long contigs against a
|
||||
reference genome. It often takes less wall-clock time and is much more
|
||||
sensitive to long insertions and deletions.
|
||||
|
||||
(2.18: 9 April 2021, r1015)
|
||||
|
||||
|
||||
|
||||
Release 2.17-r941 (4 May 2019)
|
||||
------------------------------
|
||||
|
||||
Changes since the last release:
|
||||
|
||||
* Fixed flawed CIGARs like `5I6D7I` (#392).
|
||||
|
||||
* Bugfix: TLEN should be 0 when either end is unmapped (#373 and #365).
|
||||
|
||||
* Bugfix: mappy is unable to write index (#372).
|
||||
|
||||
* Added option `--junc-bed` to load known gene annotations in the BED12
|
||||
format. Minimap2 prefers annotated junctions over novel junctions (#197 and
|
||||
#348). GTF can be converted to BED12 with `paftools.js gff2bed`.
|
||||
|
||||
* Added option `--sam-hit-only` to suppress unmapped hits in SAM (#377).
|
||||
|
||||
* Added preset `splice:hq` for high-quality CCS or mRNA sequences. It applies
|
||||
better scoring and improves the sensitivity to small exons. This preset may
|
||||
introduce false small introns, but the overall accuracy should be higher.
|
||||
|
||||
This version produces nearly identical alignments to v2.16, except for CIGARs
|
||||
affected by the bug mentioned above.
|
||||
|
||||
(2.17: 5 May 2019, r941)
|
||||
|
||||
|
||||
|
||||
Release 2.16-r922 (28 February 2019)
|
||||
------------------------------------
|
||||
|
||||
This release is 50% faster for mapping ultra-long nanopore reads at comparable
|
||||
accuracy. For short-read mapping, long-read overlapping and ordinary long-read
|
||||
mapping, the performance and accuracy remain similar. This speedup is achieved
|
||||
with a new heuristic to limit the number of chaining iterations (#324). Users
|
||||
can disable the heuristic by increasing a new option `--max-chain-iter` to a
|
||||
huge number.
|
||||
|
||||
Other changes to minimap2:
|
||||
|
||||
* Implemented option `--paf-no-hit` to output unmapped query sequences in PAF.
|
||||
The strand and reference name columns are both `*` at an unmapped line. The
|
||||
hidden option is available in earlier minimap2 but had a different 2-column
|
||||
output format instead of PAF.
|
||||
|
||||
* Fixed a bug that leads to wrongly calculated `de` tags when ambiguous bases
|
||||
are involved (#309). This bug only affects v2.15.
|
||||
|
||||
* Fixed a bug when parsing command-line option `--splice` (#344). This bug was
|
||||
introduced in v2.13.
|
||||
|
||||
* Fixed two division-by-zero cases (#326). They don't affect final alignments
|
||||
because the results of the divisions are not used in both case.
|
||||
|
||||
* Added an option `-o` to output alignments to a specified file. It is still
|
||||
recommended to use UNIX pipes for on-the-fly conversion or compression.
|
||||
|
||||
* Output a new `rl` tag to give the length of query regions harboring
|
||||
repetitive seeds.
|
||||
|
||||
Changes to paftool.js:
|
||||
|
||||
* Added a new option to convert the MD tag to the long form of the cs tag.
|
||||
|
||||
Changes to mappy:
|
||||
|
||||
* Added the `mappy.Aligner.seq_names` method to return sequence names (#312).
|
||||
|
||||
For NA12878 ultra-long reads, this release changes the alignments of <0.1% of
|
||||
reads in comparison to v2.15. All these reads have highly fragmented alignments
|
||||
and are likely to be problematic anyway. For shorter or well aligned reads,
|
||||
this release should produce mostly identical alignments to v2.15.
|
||||
|
||||
(2.16: 28 February 2019, r922)
|
||||
|
||||
|
||||
|
||||
Release 2.15-r905 (10 January 2019)
|
||||
-----------------------------------
|
||||
|
||||
Changes to minimap2:
|
||||
|
||||
* Fixed a rare segmentation fault when option -H is in use (#307). This may
|
||||
happen when there are very long homopolymers towards the 5'-end of a read.
|
||||
|
||||
* Fixed wrong CIGARs when option --eqx is used (#266).
|
||||
|
||||
* Fixed a typo in the base encoding table (#264). This should have no
|
||||
practical effect.
|
||||
|
||||
* Fixed a typo in the example code (#265).
|
||||
|
||||
* Improved the C++ compatibility by removing "register" (#261). However,
|
||||
minimap2 still can't be compiled in the pedantic C++ mode (#306).
|
||||
|
||||
* Output a new "de" tag for gap-compressed sequence divergence.
|
||||
|
||||
Changes to paftools.js:
|
||||
|
||||
* Added "asmgene" to evaluate the completeness of an assembly by measuring the
|
||||
uniquely mapped single-copy genes. This command learns the idea of BUSCO.
|
||||
|
||||
* Added "vcfpair" to call a phased VCF from phased whole-genome assemblies. An
|
||||
earlier version of this script is used to produce the ground truth for the
|
||||
syndip benchmark [PMID:30013044].
|
||||
|
||||
This release produces identical alignment coordinates and CIGARs in comparison
|
||||
to v2.14. Users are advised to upgrade due to the several bug fixes.
|
||||
|
||||
(2.15: 10 Janurary 2019, r905)
|
||||
|
||||
|
||||
|
||||
Release 2.14-r883 (5 November 2018)
|
||||
-----------------------------------
|
||||
|
||||
Notable changes:
|
||||
|
||||
* Fixed two minor bugs caused by typos (#254 and #266).
|
||||
|
||||
* Fixed a bug that made minimap2 abort when --eqx was used together with --MD
|
||||
or --cs (#257).
|
||||
|
||||
* Added --cap-sw-mem to cap the size of DP matrices (#259). Base alignment may
|
||||
take a lot of memory in the splicing mode. This may lead to issues when we
|
||||
run minimap2 on a cluster with a hard memory limit. The new option avoids
|
||||
unlimited memory usage at the cost of missing a few long introns.
|
||||
|
||||
* Conforming to C99 and C11 when possible (#261).
|
||||
|
||||
* Warn about malformatted FASTA or FASTQ (#252 and #255).
|
||||
|
||||
This release occasionally produces base alignments different from v2.13. The
|
||||
overall alignment accuracy remain similar.
|
||||
|
||||
(2.14: 5 November 2018, r883)
|
||||
|
||||
|
||||
|
||||
Release 2.13-r850 (11 October 2018)
|
||||
-----------------------------------
|
||||
|
||||
Changes to minimap2:
|
||||
|
||||
* Fixed wrongly formatted SAM when -L is in use (#231 and #233).
|
||||
|
||||
* Fixed an integer overflow in rare cases.
|
||||
|
||||
* Added --hard-mask-level to fine control split alignments (#244).
|
||||
|
||||
* Made --MD work with spliced alignment (#139).
|
||||
|
||||
* Replaced musl's getopt with ketopt for portability.
|
||||
|
||||
* Log peak memory usage on exit.
|
||||
|
||||
This release should produce alignments identical to v2.12 and v2.11.
|
||||
|
||||
(2.13: 11 October 2018, r850)
|
||||
|
||||
|
||||
|
||||
Release 2.12-r827 (6 August 2018)
|
||||
---------------------------------
|
||||
|
||||
Changes to minimap2:
|
||||
|
||||
* Added option --split-prefix to write proper alignments (correct mapping
|
||||
quality and clustered query sequences) given a multi-part index (#141 and
|
||||
#189; mostly by @hasindu2008).
|
||||
|
||||
* Fixed a memory leak when option -y is in use.
|
||||
|
||||
Changes to mappy:
|
||||
|
||||
* Support the MD/cs tag (#183 and #203).
|
||||
|
||||
* Allow mappy to index a single sequence, to add extra flags and to change the
|
||||
scoring system.
|
||||
|
||||
Minimap2 should produce alignments identical to v2.11.
|
||||
|
||||
(2.12: 6 August 2018, r827)
|
||||
|
||||
|
||||
|
||||
Release 2.11-r797 (20 June 2018)
|
||||
--------------------------------
|
||||
|
||||
Changes to minimap2:
|
||||
|
||||
* Improved alignment accuracy in low-complexity regions for SV calling. Thank
|
||||
@armintoepfer for multiple offline examples.
|
||||
|
||||
* Added option --eqx to encode sequence match/mismatch with the =/X CIGAR
|
||||
operators (#156, #157 and #175).
|
||||
|
||||
* When compiled with VC++, minimap2 generated wrong alignments due to a
|
||||
comparison between a signed integer and an unsigned integer (#184). Also
|
||||
fixed warnings reported by "clang -Wextra".
|
||||
|
||||
* Fixed incorrect anchor filtering due to a missing 64- to 32-bit cast.
|
||||
|
||||
* Fixed incorrect mapping quality for inversions (#148).
|
||||
|
||||
* Fixed incorrect alignment involving ambiguous bases (#155).
|
||||
|
||||
* Fixed incorrect presets: option `-r 2000` is intended to be used with
|
||||
ava-ont, not ava-pb. The bug was introduced in 2.10.
|
||||
|
||||
* Fixed a bug when --for-only/--rev-only is used together with --sr or
|
||||
--heap-sort=yes (#166).
|
||||
|
||||
* Fixed option -Y that was not working in the previous releases.
|
||||
|
||||
* Added option --lj-min-ratio to fine control the alignment of long gaps
|
||||
found by the "long-join" heuristic (#128).
|
||||
|
||||
* Exposed `mm_idx_is_idx`, `mm_idx_load` and `mm_idx_dump` C APIs (#177).
|
||||
Also fixed a bug when indexing without reference names (this feature is not
|
||||
exposed to the command line).
|
||||
|
||||
Changes to mappy:
|
||||
|
||||
* Added `__version__` (#165).
|
||||
|
||||
* Exposed the maximum fragment length parameter to mappy (#174).
|
||||
|
||||
Changes to paftools:
|
||||
|
||||
* Don't crash when there is no "cg" tag (#153).
|
||||
|
||||
* Fixed wrong coverage report by "paftools.js call" (#145).
|
||||
|
||||
This version may produce slightly different base-level alignment. The overall
|
||||
alignment statistics should remain similar.
|
||||
|
||||
(2.11: 20 June 2018, r797)
|
||||
|
||||
|
||||
|
||||
Release 2.10-r761 (27 March 2018)
|
||||
---------------------------------
|
||||
|
||||
Changes to minimap2:
|
||||
|
||||
* Optionally output the MD tag for compatibility with existing tools (#63,
|
||||
#118 and #137).
|
||||
|
||||
* Use SSE compiler flags more precisely to prevent compiling errors on certain
|
||||
machines (#127).
|
||||
|
||||
* Added option --min-occ-floor to set a minimum occurrence threshold. Presets
|
||||
intended for assembly-to-reference alignment set this option to 100. This
|
||||
option alleviates issues with regions having high copy numbers (#107).
|
||||
|
||||
* Exit with non-zero code on file writing errors (e.g. disk full; #103 and
|
||||
#132).
|
||||
|
||||
* Added option -y to copy FASTA/FASTQ comments in query sequences to the
|
||||
output (#136).
|
||||
|
||||
* Added the asm20 preset for alignments between genomes at 5-10% sequence
|
||||
divergence.
|
||||
|
||||
* Changed the band-width in the ava-ont preset from 500 to 2000. Oxford
|
||||
Nanopore reads may contain long deletion sequencing errors that break
|
||||
chaining.
|
||||
|
||||
Changes to mappy, the Python binding:
|
||||
|
||||
* Fixed a typo in Align.seq() (#126).
|
||||
|
||||
Changes to paftools.js, the companion script:
|
||||
|
||||
* Command sam2paf now converts the MD tag to cs.
|
||||
|
||||
* Support VCF output for assembly-to-reference variant calling (#109).
|
||||
|
||||
This version should produce identical alignment for read overlapping, RNA-seq
|
||||
read mapping, and genomic read mapping. We have also added a cook book to show
|
||||
the variety uses of minimap2 on real datasets. Please see cookbook.md in the
|
||||
minimap2 source code directory.
|
||||
|
||||
(2.10: 27 March 2017, r761)
|
||||
|
||||
|
||||
|
||||
Release 2.9-r720 (23 February 2018)
|
||||
-----------------------------------
|
||||
|
||||
This release fixed multiple minor bugs.
|
||||
|
||||
* Fixed two bugs that lead to incorrect inversion alignment. Also improved the
|
||||
sensitivity to small inversions by using double Z-drop cutoff (#112).
|
||||
|
||||
* Fixed an issue that may cause the end of a query sequence unmapped (#104).
|
||||
|
||||
* Added a mappy API to retrieve sequences from the index (#126) and to reverse
|
||||
complement DNA sequences. Fixed a bug where the `best_n` parameter did not
|
||||
work (#117).
|
||||
|
||||
* Avoided segmentation fault given incorrect FASTQ input (#111).
|
||||
|
||||
* Combined all auxiliary javascripts to paftools.js. Fixed several bugs in
|
||||
these scripts at the same time.
|
||||
|
||||
(2.9: 24 February 2018, r720)
|
||||
|
||||
|
||||
|
||||
Release 2.8-r672 (1 February 2018)
|
||||
----------------------------------
|
||||
|
||||
Notable changes in this release include:
|
||||
|
||||
* Speed up short-read alignment by ~10%. The overall mapping accuracy stays
|
||||
the same, but the output alignments are not always identical to v2.7 due to
|
||||
unstable sorting employed during chaining. Long-read alignment is not
|
||||
affected by this change as the speedup is short-read specific.
|
||||
|
||||
* Mappy now supports paired-end short-read alignment (#87). Please see
|
||||
python/README.rst for details.
|
||||
|
||||
* Added option --for-only and --rev-only to perform alignment against the
|
||||
forward or the reverse strand of the reference genome only (#91).
|
||||
|
||||
* Alleviated the issue with undesired diagonal alignment in the self mapping
|
||||
mode (#10). Even if the output is not ideal, it should not interfere with
|
||||
other alignments. Fully resolving the issue is intricate and may require
|
||||
additional heuristic thresholds.
|
||||
|
||||
* Enhanced error checking against incorrect input (#92 and #96).
|
||||
|
||||
For long query sequences, minimap2 should output identical alignments to v2.7.
|
||||
|
||||
(2.8: 1 February 2018, r672)
|
||||
|
||||
|
||||
|
||||
Release 2.7-r654 (9 January 2018)
|
||||
---------------------------------
|
||||
|
||||
This release fixed a bug in the splice mode and added a few minor features:
|
||||
|
||||
* Fixed a bug that occasionally takes an intron as a long deletion in the
|
||||
splice mode. This was caused by wrong backtracking at the last CIGAR
|
||||
operator. The current fix eliminates the error, but it is not optimal in
|
||||
that it often produces a wrong junction when the last operator is an intron.
|
||||
A future version of minimap2 may improve upon this.
|
||||
|
||||
* Support high-end ARM CPUs that implement the NEON instruction set (#81).
|
||||
This enables minimap2 to work on Raspberry Pi 3 and Odroid XU4.
|
||||
|
||||
* Added a C API to construct a minimizer index from a set of C strings (#80).
|
||||
|
||||
* Check scoring specified on the command line (#79). Due to the 8-bit limit,
|
||||
excessively large score penalties fail minimap2.
|
||||
|
||||
For genomic sequences, minimap2 should give identical alignments to v2.6.
|
||||
|
||||
(2.7: 9 January 2018, r654)
|
||||
|
||||
|
||||
|
||||
Release 2.6-r623 (12 December 2017)
|
||||
-----------------------------------
|
||||
|
||||
This release adds several features and fixes two minor bugs:
|
||||
|
||||
* Optionally build an index without sequences. This helps to reduce the
|
||||
peak memory for read overlapping and is automatically applied when
|
||||
base-level alignment is not requested.
|
||||
|
||||
* Approximately estimate per-base sequence divergence (i.e. 1-identity)
|
||||
without performing base-level alignment, using a MashMap-like method. The
|
||||
estimate is written to a new dv:f tag.
|
||||
|
||||
* Reduced the number of tiny terminal exons in RNA-seq alignment. The current
|
||||
setting is conservative. Increase --end-seed-pen to drop more such exons.
|
||||
|
||||
* Reduced the peak memory when aligning long query sequences.
|
||||
|
||||
* Fixed a bug that is caused by HPC minimizers longer than 256bp. This should
|
||||
have no effect in practice, but it is recommended to rebuild HPC indices if
|
||||
possible.
|
||||
|
||||
* Fixed a bug when identifying identical hits (#71). This should only affect
|
||||
artifactual reference consisting of near identical sequences.
|
||||
|
||||
For genomic sequences, minimap2 should give nearly identical alignments to
|
||||
v2.5, except the new dv:f tag.
|
||||
|
||||
(2.6: 12 December 2017, r623)
|
||||
|
||||
|
||||
|
||||
Release 2.5-r572 (11 November 2017)
|
||||
-----------------------------------
|
||||
|
||||
This release fixes several bugs and brings a couple of minor improvements:
|
||||
|
||||
* Fixed a severe bug that leads to incorrect mapping coordinates in rare
|
||||
corner cases.
|
||||
|
||||
* Fixed underestimated mapping quality for chimeric alignments when the whole
|
||||
query sequence contain many repetitive minimizers, and for chimeric
|
||||
alignments caused by Z-drop.
|
||||
|
||||
* Fixed two bugs in Python binding: incorrect strand field (#57) and incorrect
|
||||
sequence names for Python3 (#55).
|
||||
|
||||
* Improved mapping accuracy for highly overlapping paired ends.
|
||||
|
||||
* Added option -Y to use soft clipping for supplementary alignments (#56).
|
||||
|
||||
(2.5: 11 November 2017, r572)
|
||||
|
||||
|
||||
|
||||
Release 2.4-r555 (6 November 2017)
|
||||
----------------------------------
|
||||
|
||||
As is planned, this release focuses on fine tuning the base algorithm. Notable
|
||||
changes include
|
||||
|
||||
* Changed the mapping quality scale to match the scale of BWA-MEM. This makes
|
||||
minimap2 and BWA-MEM achieve similar sensitivity-specificity balance on real
|
||||
short-read data.
|
||||
|
||||
* Improved the accuracy of splice alignment by modeling one additional base
|
||||
close to the GT-AG signal. This model is used by default with `-x splice`.
|
||||
For SIRV control data, however, it is recommended to add `--splice-flank=no`
|
||||
to disable this feature as the SIRV splice signals are slightly different.
|
||||
|
||||
* Tuned the parameters for Nanopore Direct RNA reads. The recommended command
|
||||
line is `-axsplice -k14 -uf` (#46).
|
||||
|
||||
* Fixed a segmentation fault when aligning PacBio reads (#47 and #48). This
|
||||
bug is very rare but it affects all versions of minimap2. It is also
|
||||
recommended to re-index reference genomes created with `map-pb`. For human,
|
||||
two minimizers in an old index are wrong.
|
||||
|
||||
* Changed option `-L` in sync with the final decision of hts-specs: a fake
|
||||
CIGAR takes the form of `<readLen>S<refLen>N`. Note that `-L` only enables
|
||||
future tools to recognize long CIGARs. It is not possible for older tools to
|
||||
work with such alignments in BAM (#43 and #51).
|
||||
|
||||
* Fixed a tiny issue whereby minimap2 may waste 8 bytes per candidate
|
||||
alignment.
|
||||
|
||||
The minimap2 technical note hosted at arXiv has also been updated to reflect
|
||||
recent changes.
|
||||
|
||||
(2.4: 6 November 2017, r555)
|
||||
|
||||
|
||||
|
||||
Release 2.3-r531 (22 October 2017)
|
||||
----------------------------------
|
||||
|
||||
This release come with many improvements and bug fixes:
|
||||
|
||||
* The **sr** preset now supports paired-end short-read alignment. Minimap2 is
|
||||
3-4 times as fast as BWA-MEM, but is slightly less accurate on simulated
|
||||
reads.
|
||||
|
||||
* Meticulous improvements to assembly-to-assembly alignment (special thanks to
|
||||
Alexey Gurevich from the QUAST team): a) apply a small penalty to matches
|
||||
between ambiguous bases; b) reduce missing alignments due to spurious
|
||||
overlaps; c) introduce the short form of the `cs` tag, an improvement to the
|
||||
SAM MD tag.
|
||||
|
||||
* Make sure gaps are always left-aligned.
|
||||
|
||||
* Recognize `U` bases from Oxford Nanopore Direct RNA-seq (#33).
|
||||
|
||||
* Fixed slightly wrong chaining score. Fixed slightly inaccurate coordinates
|
||||
for split alignment.
|
||||
|
||||
* Fixed multiple reported bugs: 1) wrong reference name for inversion
|
||||
alignment (#30); 2) redundant SQ lines when multiple query files are
|
||||
specified (#39); 3) non-functioning option `-K` (#36).
|
||||
|
||||
This release has implemented all the major features I planned five months ago,
|
||||
with the addition of spliced long-read alignment. The next couple of releases
|
||||
will focus on fine tuning of the base algorithms.
|
||||
|
||||
(2.3: 22 October 2017, r531)
|
||||
|
||||
|
||||
|
||||
Release 2.2-r409 (17 September 2017)
|
||||
------------------------------------
|
||||
|
||||
This is a feature release. It improves single-end short-read alignment and
|
||||
comes with Python bindings. Detailed changes include:
|
||||
|
||||
* Added the **sr** preset for single-end short-read alignment. In this mode,
|
||||
minimap2 runs faster than BWA-MEM, but is slightly less accurate on
|
||||
simulated data sets. Paired-end alignment is not supported as of now.
|
||||
|
||||
* Improved mapping quality estimate with more accurate identification of
|
||||
repetitive hits. This mainly helps short-read alignment.
|
||||
|
||||
* Implemented **mappy**, a Python binding for minimap2, which is available
|
||||
from PyPI and can be installed with `pip install --user mappy`. Python users
|
||||
can perform read alignment without the minimap2 executable.
|
||||
|
||||
* Restructured the indexing APIs and documented key minimap2 APIs in the
|
||||
header file minimap.h. Updated example.c with the new APIs. Old APIs still
|
||||
work but may become deprecated in future.
|
||||
|
||||
This release may output alignments different from the previous version, though
|
||||
the overall alignment statistics, such as the number of aligned bases and long
|
||||
gaps, remain close.
|
||||
|
||||
(2.2: 17 September 2017, r409)
|
||||
|
||||
|
||||
|
||||
Release 2.1.1-r341 (6 September 2017)
|
||||
-------------------------------------
|
||||
|
||||
|
||||
@@ -1,56 +1,373 @@
|
||||
[](https://travis-ci.org/lh3/minimap2)
|
||||
## Getting Started
|
||||
## mm2-fast
|
||||
### Introduction
|
||||
mm2-fast is an accelerated implementation of minimap2 on modern CPUs. mm2-fast accelerates all the three major modules of minimap2: (a) seeding, (b) chaining, and (c) pairwise alignment, achieving up to 1.8x speedup using AVX512 over minimap2.
|
||||
mm2-fast is a drop-in replacement of minimap2, providing the same functionality with the exact same output.
|
||||
In the current version, all the modules are optimized using **AVX-512** and **AVX2** vectorization. Detailed benchmark results are available in our [preprint](https://doi.org/10.1101/2021.07.21.453294).
|
||||
|
||||
### System requirement
|
||||
Operating System: Linux
|
||||
mm2-fast was tested using g++ (GCC) 9.2.0 and icpc version 19.1.3.304
|
||||
Architecture: x86\_64 CPUs with [AVX512, AVX2](https://en.wikipedia.org/wiki/Advanced_Vector_Extensions)
|
||||
Memory requirement: ~30GB for human genome
|
||||
|
||||
### Installation
|
||||
Clone the *fast-contrib-v2.22* branch from minimap2 github page. The source code can be compiled by using *make* command. It only takes a few seconds.
|
||||
```
|
||||
git clone --recursive https://github.com/lh3/minimap2.git -b fast-contrib-v2.22 mm2-fast
|
||||
cd mm2-fast
|
||||
make
|
||||
```
|
||||
|
||||
### Usage
|
||||
The usage of mm2-fast is same as minimap2. Here is an example of mapping ONT reads with test data.
|
||||
```sh
|
||||
./minimap2 -ax map-ont test/MT-human.fa test/MT-orang.fa > mm2-fast_output
|
||||
```
|
||||
|
||||
### Accuracy evaluation
|
||||
As mm2-fast is an accelerated version of minimap2-v2.22, the output of mm2-fast can be verified against minimap2-v2.22. Note that the optimized chaining in mm2-fast is strictly required to be run with a chaining parameter *max-chain-skip=infinity*. Note that having parameter *max-chain-skip=infinity* leads to higher chaining precision. Therefore, for correctness verification, minimap2 should run with a larger value of *max-chain-skip* parameter. Follow the below steps to verify the accuracy of mm2-fast.
|
||||
```sh
|
||||
git clone --recursive https://github.com/lh3/minimap2.git -b fast-contrib-v2.22 mm2-fast
|
||||
cd mm2-fast && make
|
||||
./minimap2 -ax map-ont test/MT-human.fa test/MT-orang.fa --max-chain-skip=1000000 > mm2-fast_output
|
||||
```
|
||||
```sh
|
||||
git clone https://github.com/lh3/minimap2.git -b v2.22
|
||||
cd minimap2 && make
|
||||
./minimap2 -ax map-ont test/MT-human.fa test/MT-orang.fa --max-chain-skip=1000000 > minimap2_output
|
||||
```
|
||||
The output generated by minimap2 and mm2-fast should match.
|
||||
```sh
|
||||
diff minimap2_output mm2-fast_output > diff_result
|
||||
```
|
||||
The file ```diff_result``` should be empty, meaning a difference of 0 lines.
|
||||
|
||||
### Advanced options
|
||||
The default compilation using make applies two optimizations: vectorized chaining and sequence alignment. The learned-indexes based seeding is disabled by default as it requires availability of [Rust](https://en.wikipedia.org/wiki/Rust_(programming_language)). This is because the learned hash-table uses an external training library that runs on Rust. Rust is trivial to install, see https://rustup.rs/ and add its path to .bashrc file. Rust installation only takes a few seconds. Following are the steps to enable learned hash table optimization in mm2-fast:
|
||||
```sh
|
||||
# Start by building learned hash table index for optimized seeding module
|
||||
./build_rmi.sh test/MT-human.fa map-ont ##Takes two arguments: 1. path-to-reference-seq-file 2. preset.
|
||||
##For human genome, this step should take around 2-3 minutes to finish.
|
||||
|
||||
# Next, compile and run the mapping phase
|
||||
make clean && make lhash=1
|
||||
./minimap2 -ax map-ont test/MT-human.fa test/MT-orang.fa > mm2-fast-lhash_output
|
||||
```
|
||||
To compile mm2-fast with all optimizations turned off and switch back to default minimap2, use the following command during compilation. This could be useful for debugging.
|
||||
```sh
|
||||
make clean && make no_opt=1
|
||||
```
|
||||
|
||||
### Performance
|
||||
We have observed up to 1.8x speedup across datasets (please refer to the paper for more details). For example, for the randomly sampled 100K reads from ["HG002\_GM24385\_1\_2\_3\_Guppy\_3.6.0\_prom.fastq.gz"](https://precision.fda.gov/challenges/10/view), minimap2 takes 92 seconds, while mm2-fast takes 54 seconds to map against the human genome on a 28 cores Intel® Xeon® Platinum 8280 CPUs. Our sampled datasets with 100K reads are available [here](https://drive.google.com/drive/folders/1131j7ejHdT7QZnjxLcTLi5qqwYcfFbuv).
|
||||
|
||||
### Future Plans
|
||||
|
||||
|
||||
### Citations
|
||||
["Accelerating long-read analysis on modern CPUs"](https://doi.org/10.1101/2021.07.21.453294); Saurabh Kalikar, Chirag Jain, Vasimuddin Md, Sanchit Misra; BioRxiv 2021
|
||||
|
||||
---
|
||||
The original README content of minimap2 follows.
|
||||
|
||||
|
||||
[](https://github.com/lh3/minimap2/releases)
|
||||
[](https://anaconda.org/bioconda/minimap2)
|
||||
[](https://pypi.python.org/pypi/mappy)
|
||||
[](https://github.com/lh3/minimap2/actions)
|
||||
## <a name="started"></a>Getting Started
|
||||
```sh
|
||||
git clone https://github.com/lh3/minimap2
|
||||
cd minimap2 && make
|
||||
# long reads against a reference genome
|
||||
./minimap2 -ax map10k test/MT-human.fa test/MT-orang.fa > test.sam
|
||||
# long sequences against a reference genome
|
||||
./minimap2 -a test/MT-human.fa test/MT-orang.fa > test.sam
|
||||
# create an index first and then map
|
||||
./minimap2 -x map10k -d MT-human.mmi test/MT-human.fa
|
||||
./minimap2 -ax map10k MT-human.mmi test/MT-orang.fa > test.sam
|
||||
# long-read overlap (no test data)
|
||||
./minimap2 -x ava-pb your-reads.fa your-reads.fa > overlaps.paf
|
||||
# spliced alignment (no test data)
|
||||
./minimap2 -ax splice ref.fa rna-seq-reads.fa > spliced.sam
|
||||
# man page
|
||||
./minimap2 -x map-ont -d MT-human-ont.mmi test/MT-human.fa
|
||||
./minimap2 -a MT-human-ont.mmi test/MT-orang.fa > test.sam
|
||||
# use presets (no test data)
|
||||
./minimap2 -ax map-pb ref.fa pacbio.fq.gz > aln.sam # PacBio CLR genomic reads
|
||||
./minimap2 -ax map-ont ref.fa ont.fq.gz > aln.sam # Oxford Nanopore genomic reads
|
||||
./minimap2 -ax map-hifi ref.fa pacbio-ccs.fq.gz > aln.sam # PacBio HiFi/CCS genomic reads (v2.19 or later)
|
||||
./minimap2 -ax asm20 ref.fa pacbio-ccs.fq.gz > aln.sam # PacBio HiFi/CCS genomic reads (v2.18 or earlier)
|
||||
./minimap2 -ax sr ref.fa read1.fa read2.fa > aln.sam # short genomic paired-end reads
|
||||
./minimap2 -ax splice ref.fa rna-reads.fa > aln.sam # spliced long reads (strand unknown)
|
||||
./minimap2 -ax splice -uf -k14 ref.fa reads.fa > aln.sam # noisy Nanopore Direct RNA-seq
|
||||
./minimap2 -ax splice:hq -uf ref.fa query.fa > aln.sam # Final PacBio Iso-seq or traditional cDNA
|
||||
./minimap2 -ax splice --junc-bed anno.bed12 ref.fa query.fa > aln.sam # prioritize on annotated junctions
|
||||
./minimap2 -cx asm5 asm1.fa asm2.fa > aln.paf # intra-species asm-to-asm alignment
|
||||
./minimap2 -x ava-pb reads.fa reads.fa > overlaps.paf # PacBio read overlap
|
||||
./minimap2 -x ava-ont reads.fa reads.fa > overlaps.paf # Nanopore read overlap
|
||||
# man page for detailed command line options
|
||||
man ./minimap2.1
|
||||
```
|
||||
|
||||
## Introduction
|
||||
## Table of Contents
|
||||
|
||||
Minimap2 is a fast sequence mapping and alignment program that can find
|
||||
overlaps between long noisy reads, or map long reads or their assemblies to a
|
||||
reference genome optionally with detailed alignment (i.e. CIGAR). At present,
|
||||
it works efficiently with query sequences from a few kilobases to ~100
|
||||
megabases in length at an error rate ~15%. Minimap2 outputs in the [PAF][paf] or
|
||||
the [SAM format][sam]. On limited test data sets, minimap2 is over 20 times
|
||||
faster than most other long-read aligners. It will replace BWA-MEM for long
|
||||
reads and contig alignment.
|
||||
- [Getting Started](#started)
|
||||
- [Users' Guide](#uguide)
|
||||
- [Installation](#install)
|
||||
- [General usage](#general)
|
||||
- [Use cases](#cases)
|
||||
- [Map long noisy genomic reads](#map-long-genomic)
|
||||
- [Map long mRNA/cDNA reads](#map-long-splice)
|
||||
- [Find overlaps between long reads](#long-overlap)
|
||||
- [Map short accurate genomic reads](#short-genomic)
|
||||
- [Full genome/assembly alignment](#full-genome)
|
||||
- [Advanced features](#advanced)
|
||||
- [Working with >65535 CIGAR operations](#long-cigar)
|
||||
- [The cs optional tag](#cs)
|
||||
- [Working with the PAF format](#paftools)
|
||||
- [Algorithm overview](#algo)
|
||||
- [Getting help](#help)
|
||||
- [Citing minimap2](#cite)
|
||||
- [Developers' Guide](#dguide)
|
||||
- [Limitations](#limit)
|
||||
|
||||
Minimap2 is the successor of [minimap][minimap]. It uses a similar
|
||||
minimizer-based indexing and seeding algorithm, and improves the original
|
||||
minimap with homopolyer-compressed k-mers (see also [SMARTdenovo][smartdenovo]
|
||||
and [longISLND][longislnd]), better chaining and the ability to produce CIGAR
|
||||
with fast extension alignment (see also [libgaba][gaba] and [ksw2][ksw2]) and
|
||||
piece-wise affine gap cost.
|
||||
## <a name="uguide"></a>Users' Guide
|
||||
|
||||
If you use minimap2 in your work, please consider to cite:
|
||||
Minimap2 is a versatile sequence alignment program that aligns DNA or mRNA
|
||||
sequences against a large reference database. Typical use cases include: (1)
|
||||
mapping PacBio or Oxford Nanopore genomic reads to the human genome; (2)
|
||||
finding overlaps between long reads with error rate up to ~15%; (3)
|
||||
splice-aware alignment of PacBio Iso-Seq or Nanopore cDNA or Direct RNA reads
|
||||
against a reference genome; (4) aligning Illumina single- or paired-end reads;
|
||||
(5) assembly-to-assembly alignment; (6) full-genome alignment between two
|
||||
closely related species with divergence below ~15%.
|
||||
|
||||
> Li, H. (2017). Minimap2: fast pairwise alignment for long DNA sequences. [arXiv:1708.01492](https://arxiv.org/abs/1708.01492).
|
||||
For ~10kb noisy reads sequences, minimap2 is tens of times faster than
|
||||
mainstream long-read mappers such as BLASR, BWA-MEM, NGMLR and GMAP. It is more
|
||||
accurate on simulated long reads and produces biologically meaningful alignment
|
||||
ready for downstream analyses. For >100bp Illumina short reads, minimap2 is
|
||||
three times as fast as BWA-MEM and Bowtie2, and as accurate on simulated data.
|
||||
Detailed evaluations are available from the [minimap2 paper][doi] or the
|
||||
[preprint][preprint].
|
||||
|
||||
## Installation
|
||||
### <a name="install"></a>Installation
|
||||
|
||||
For modern x86-64 CPUs, just type `make` in the source code directory. This
|
||||
will compile a binary `minimap2` which you can copy to your desired location.
|
||||
If you see compilation errors, try `make sse2only=1` to disable SSE4. Minimap2
|
||||
will run a little slower. At present, minimap2 does not work with non-x86 CPUs
|
||||
or ancient CPUs that do not support SSE2. SSE2 is critical to the performance
|
||||
of minimap2.
|
||||
Minimap2 is optimized for x86-64 CPUs. You can acquire precompiled binaries from
|
||||
the [release page][release] with:
|
||||
```sh
|
||||
curl -L https://github.com/lh3/minimap2/releases/download/v2.22/minimap2-2.22_x64-linux.tar.bz2 | tar -jxvf -
|
||||
./minimap2-2.22_x64-linux/minimap2
|
||||
```
|
||||
If you want to compile from the source, you need to have a C compiler, GNU make
|
||||
and zlib development files installed. Then type `make` in the source code
|
||||
directory to compile. If you see compilation errors, try `make sse2only=1`
|
||||
to disable SSE4 code, which will make minimap2 slightly slower.
|
||||
|
||||
## Algorithm Overview
|
||||
Minimap2 also works with ARM CPUs supporting the NEON instruction sets. To
|
||||
compile for 32 bit ARM architectures (such as ARMv7), use `make arm_neon=1`. To
|
||||
compile for for 64 bit ARM architectures (such as ARMv8), use `make arm_neon=1
|
||||
aarch64=1`.
|
||||
|
||||
Minimap2 can use [SIMD Everywhere (SIMDe)][simde] library for porting
|
||||
implementation to the different SIMD instruction sets. To compile using SIMDe,
|
||||
use `make -f Makefile.simde`. To compile for ARM CPUs, use `Makefile.simde`
|
||||
with the ARM related command lines given above.
|
||||
|
||||
### <a name="general"></a>General usage
|
||||
|
||||
Without any options, minimap2 takes a reference database and a query sequence
|
||||
file as input and produce approximate mapping, without base-level alignment
|
||||
(i.e. coordinates are only approximate and no CIGAR in output), in the [PAF format][paf]:
|
||||
```sh
|
||||
minimap2 ref.fa query.fq > approx-mapping.paf
|
||||
```
|
||||
You can ask minimap2 to generate CIGAR at the `cg` tag of PAF with:
|
||||
```sh
|
||||
minimap2 -c ref.fa query.fq > alignment.paf
|
||||
```
|
||||
or to output alignments in the [SAM format][sam]:
|
||||
```sh
|
||||
minimap2 -a ref.fa query.fq > alignment.sam
|
||||
```
|
||||
Minimap2 seamlessly works with gzip'd FASTA and FASTQ formats as input. You
|
||||
don't need to convert between FASTA and FASTQ or decompress gzip'd files first.
|
||||
|
||||
For the human reference genome, minimap2 takes a few minutes to generate a
|
||||
minimizer index for the reference before mapping. To reduce indexing time, you
|
||||
can optionally save the index with option **-d** and replace the reference
|
||||
sequence file with the index file on the minimap2 command line:
|
||||
```sh
|
||||
minimap2 -d ref.mmi ref.fa # indexing
|
||||
minimap2 -a ref.mmi reads.fq > alignment.sam # alignment
|
||||
```
|
||||
***Importantly***, it should be noted that once you build the index, indexing
|
||||
parameters such as **-k**, **-w**, **-H** and **-I** can't be changed during
|
||||
mapping. If you are running minimap2 for different data types, you will
|
||||
probably need to keep multiple indexes generated with different parameters.
|
||||
This makes minimap2 different from BWA which always uses the same index
|
||||
regardless of query data types.
|
||||
|
||||
### <a name="cases"></a>Use cases
|
||||
|
||||
Minimap2 uses the same base algorithm for all applications. However, due to the
|
||||
different data types it supports (e.g. short vs long reads; DNA vs mRNA reads),
|
||||
minimap2 needs to be tuned for optimal performance and accuracy. It is usually
|
||||
recommended to choose a preset with option **-x**, which sets multiple
|
||||
parameters at the same time. The default setting is the same as `map-ont`.
|
||||
|
||||
#### <a name="map-long-genomic"></a>Map long noisy genomic reads
|
||||
|
||||
```sh
|
||||
minimap2 -ax map-pb ref.fa pacbio-reads.fq > aln.sam # for PacBio CLR reads
|
||||
minimap2 -ax map-ont ref.fa ont-reads.fq > aln.sam # for Oxford Nanopore reads
|
||||
```
|
||||
The difference between `map-pb` and `map-ont` is that `map-pb` uses
|
||||
homopolymer-compressed (HPC) minimizers as seeds, while `map-ont` uses ordinary
|
||||
minimizers as seeds. Emperical evaluation suggests HPC minimizers improve
|
||||
performance and sensitivity when aligning PacBio CLR reads, but hurt when aligning
|
||||
Nanopore reads.
|
||||
|
||||
#### <a name="map-long-splice"></a>Map long mRNA/cDNA reads
|
||||
|
||||
```sh
|
||||
minimap2 -ax splice:hq -uf ref.fa iso-seq.fq > aln.sam # PacBio Iso-seq/traditional cDNA
|
||||
minimap2 -ax splice ref.fa nanopore-cdna.fa > aln.sam # Nanopore 2D cDNA-seq
|
||||
minimap2 -ax splice -uf -k14 ref.fa direct-rna.fq > aln.sam # Nanopore Direct RNA-seq
|
||||
minimap2 -ax splice --splice-flank=no SIRV.fa SIRV-seq.fa # mapping against SIRV control
|
||||
```
|
||||
There are different long-read RNA-seq technologies, including tranditional
|
||||
full-length cDNA, EST, PacBio Iso-seq, Nanopore 2D cDNA-seq and Direct RNA-seq.
|
||||
They produce data of varying quality and properties. By default, `-x splice`
|
||||
assumes the read orientation relative to the transcript strand is unknown. It
|
||||
tries two rounds of alignment to infer the orientation and write the strand to
|
||||
the `ts` SAM/PAF tag if possible. For Iso-seq, Direct RNA-seq and tranditional
|
||||
full-length cDNAs, it would be desired to apply `-u f` to force minimap2 to
|
||||
consider the forward transcript strand only. This speeds up alignment with
|
||||
slight improvement to accuracy. For noisy Nanopore Direct RNA-seq reads, it is
|
||||
recommended to use a smaller k-mer size for increased sensitivity to the first
|
||||
or the last exons.
|
||||
|
||||
Minimap2 rates an alignment by the score of the max-scoring sub-segment,
|
||||
*excluding* introns, and marks the best alignment as primary in SAM. When a
|
||||
spliced gene also has unspliced pseudogenes, minimap2 does not intentionally
|
||||
prefer spliced alignment, though in practice it more often marks the spliced
|
||||
alignment as the primary. By default, minimap2 outputs up to five secondary
|
||||
alignments (i.e. likely pseudogenes in the context of RNA-seq mapping). This
|
||||
can be tuned with option **-N**.
|
||||
|
||||
For long RNA-seq reads, minimap2 may produce chimeric alignments potentially
|
||||
caused by gene fusions/structural variations or by an intron longer than the
|
||||
max intron length **-G** (200k by default). For now, it is not recommended to
|
||||
apply an excessively large **-G** as this slows down minimap2 and sometimes
|
||||
leads to false alignments.
|
||||
|
||||
It is worth noting that by default `-x splice` prefers GT[A/G]..[C/T]AG
|
||||
over GT[C/T]..[A/G]AG, and then over other splicing signals. Considering
|
||||
one additional base improves the junction accuracy for noisy reads, but
|
||||
reduces the accuracy when aligning against the widely used SIRV control data.
|
||||
This is because SIRV does not honor the evolutionarily conservative splicing
|
||||
signal. If you are studying SIRV, you may apply `--splice-flank=no` to let
|
||||
minimap2 only model GT..AG, ignoring the additional base.
|
||||
|
||||
Since v2.17, minimap2 can optionally take annotated genes as input and
|
||||
prioritize on annotated splice junctions. To use this feature, you can
|
||||
```sh
|
||||
paftools.js gff2bed anno.gff > anno.bed
|
||||
minimap2 -ax splice --junc-bed anno.bed ref.fa query.fa > aln.sam
|
||||
```
|
||||
Here, `anno.gff` is the gene annotation in the GTF or GFF3 format (`gff2bed`
|
||||
automatically tests the format). The output of `gff2bed` is in the 12-column
|
||||
BED format, or the BED12 format. With the `--junc-bed` option, minimap2 adds a
|
||||
bonus score (tuned by `--junc-bonus`) if an aligned junction matches a junction
|
||||
in the annotation. Option `--junc-bed` also takes 5-column BED, including the
|
||||
strand field. In this case, each line indicates an oriented junction.
|
||||
|
||||
#### <a name="long-overlap"></a>Find overlaps between long reads
|
||||
|
||||
```sh
|
||||
minimap2 -x ava-pb reads.fq reads.fq > ovlp.paf # PacBio CLR read overlap
|
||||
minimap2 -x ava-ont reads.fq reads.fq > ovlp.paf # Oxford Nanopore read overlap
|
||||
```
|
||||
Similarly, `ava-pb` uses HPC minimizers while `ava-ont` uses ordinary
|
||||
minimizers. It is usually not recommended to perform base-level alignment in
|
||||
the overlapping mode because it is slow and may produce false positive
|
||||
overlaps. However, if performance is not a concern, you may try to add `-a` or
|
||||
`-c` anyway.
|
||||
|
||||
#### <a name="short-genomic"></a>Map short accurate genomic reads
|
||||
|
||||
```sh
|
||||
minimap2 -ax sr ref.fa reads-se.fq > aln.sam # single-end alignment
|
||||
minimap2 -ax sr ref.fa read1.fq read2.fq > aln.sam # paired-end alignment
|
||||
minimap2 -ax sr ref.fa reads-interleaved.fq > aln.sam # paired-end alignment
|
||||
```
|
||||
When two read files are specified, minimap2 reads from each file in turn and
|
||||
merge them into an interleaved stream internally. Two reads are considered to
|
||||
be paired if they are adjacent in the input stream and have the same name (with
|
||||
the `/[0-9]` suffix trimmed if present). Single- and paired-end reads can be
|
||||
mixed.
|
||||
|
||||
Minimap2 does not work well with short spliced reads. There are many capable
|
||||
RNA-seq mappers for short reads.
|
||||
|
||||
#### <a name="full-genome"></a>Full genome/assembly alignment
|
||||
|
||||
```sh
|
||||
minimap2 -ax asm5 ref.fa asm.fa > aln.sam # assembly to assembly/ref alignment
|
||||
```
|
||||
For cross-species full-genome alignment, the scoring system needs to be tuned
|
||||
according to the sequence divergence.
|
||||
|
||||
### <a name="advanced"></a>Advanced features
|
||||
|
||||
#### <a name="long-cigar"></a>Working with >65535 CIGAR operations
|
||||
|
||||
Due to a design flaw, BAM does not work with CIGAR strings with >65535
|
||||
operations (SAM and CRAM work). However, for ultra-long nanopore reads minimap2
|
||||
may align ~1% of read bases with long CIGARs beyond the capability of BAM. If
|
||||
you convert such SAM/CRAM to BAM, Picard and recent samtools will throw an
|
||||
error and abort. Older samtools and other tools may create corrupted BAM.
|
||||
|
||||
To avoid this issue, you can add option `-L` at the minimap2 command line.
|
||||
This option moves a long CIGAR to the `CG` tag and leaves a fully clipped CIGAR
|
||||
at the SAM CIGAR column. Current tools that don't read CIGAR (e.g. merging and
|
||||
sorting) still work with such BAM records; tools that read CIGAR will
|
||||
effectively ignore these records. It has been decided that future tools
|
||||
will seamlessly recognize long-cigar records generated by option `-L`.
|
||||
|
||||
**TL;DR**: if you work with ultra-long reads and use tools that only process
|
||||
BAM files, please add option `-L`.
|
||||
|
||||
#### <a name="cs"></a>The cs optional tag
|
||||
|
||||
The `cs` SAM/PAF tag encodes bases at mismatches and INDELs. It matches regular
|
||||
expression `/(:[0-9]+|\*[a-z][a-z]|[=\+\-][A-Za-z]+)+/`. Like CIGAR, `cs`
|
||||
consists of series of operations. Each leading character specifies the
|
||||
operation; the following sequence is the one involved in the operation.
|
||||
|
||||
The `cs` tag is enabled by command line option `--cs`. The following alignment,
|
||||
for example:
|
||||
```txt
|
||||
CGATCGATAAATAGAGTAG---GAATAGCA
|
||||
|||||| |||||||||| |||| |||
|
||||
CGATCG---AATAGAGTAGGTCGAATtGCA
|
||||
```
|
||||
is represented as `:6-ata:10+gtc:4*at:3`, where `:[0-9]+` represents an
|
||||
identical block, `-ata` represents a deletion, `+gtc` an insertion and `*at`
|
||||
indicates reference base `a` is substituted with a query base `t`. It is
|
||||
similar to the `MD` SAM tag but is standalone and easier to parse.
|
||||
|
||||
If `--cs=long` is used, the `cs` string also contains identical sequences in
|
||||
the alignment. The above example will become
|
||||
`=CGATCG-ata=AATAGAGTAG+gtc=GAAT*at=GCA`. The long form of `cs` encodes both
|
||||
reference and query sequences in one string. The `cs` tag also encodes intron
|
||||
positions and splicing signals (see the [minimap2 manpage][manpage-cs] for
|
||||
details).
|
||||
|
||||
#### <a name="paftools"></a>Working with the PAF format
|
||||
|
||||
Minimap2 also comes with a (java)script [paftools.js](misc/paftools.js) that
|
||||
processes alignments in the PAF format. It calls variants from
|
||||
assembly-to-reference alignment, lifts over BED files based on alignment,
|
||||
converts between formats and provides utilities for various evaluations. For
|
||||
details, please see [misc/README.md](misc/README.md).
|
||||
|
||||
### <a name="algo"></a>Algorithm overview
|
||||
|
||||
In the following, minimap2 command line options have a dash ahead and are
|
||||
highlighted in bold.
|
||||
highlighted in bold. The description may help to tune minimap2 parameters.
|
||||
|
||||
1. Read **-I** [=*4G*] reference bases, extract (**-k**,**-w**)-minimizers and
|
||||
index them in a hash table.
|
||||
@@ -91,20 +408,51 @@ highlighted in bold.
|
||||
9. If there are more reference sequences, reopen the query file from the start
|
||||
and go to step 1; otherwise stop.
|
||||
|
||||
## Limitations
|
||||
### <a name="help"></a>Getting help
|
||||
|
||||
Manpage [minimap2.1][manpage] provides detailed description of minimap2
|
||||
command line options and optional tags. The [FAQ](FAQ.md) page answers several
|
||||
frequently asked questions. If you encounter bugs or have further questions or
|
||||
requests, you can raise an issue at the [issue page][issue]. There is not a
|
||||
specific mailing list for the time being.
|
||||
|
||||
### <a name="cite"></a>Citing minimap2
|
||||
|
||||
If you use minimap2 in your work, please cite:
|
||||
|
||||
> Li, H. (2018). Minimap2: pairwise alignment for nucleotide sequences.
|
||||
> *Bioinformatics*, **34**:3094-3100. [doi:10.1093/bioinformatics/bty191][doi]
|
||||
|
||||
## <a name="dguide"></a>Developers' Guide
|
||||
|
||||
Minimap2 is not only a command line tool, but also a programming library.
|
||||
It provides C APIs to build/load index and to align sequences against the
|
||||
index. File [example.c](example.c) demonstrates typical uses of C APIs. Header
|
||||
file [minimap.h](minimap.h) gives more detailed API documentation. Minimap2
|
||||
aims to keep APIs in this header stable. File [mmpriv.h](mmpriv.h) contains
|
||||
additional private APIs which may be subjected to changes frequently.
|
||||
|
||||
This repository also provides Python bindings to a subset of C APIs. File
|
||||
[python/README.rst](python/README.rst) gives the full documentation;
|
||||
[python/minimap2.py](python/minimap2.py) shows an example. This Python
|
||||
extension, mappy, is also [available from PyPI][mappypypi] via `pip install
|
||||
mappy` or [from BioConda][mappyconda] via `conda install -c bioconda mappy`.
|
||||
|
||||
## <a name="limit"></a>Limitations
|
||||
|
||||
* Minimap2 may produce suboptimal alignments through long low-complexity
|
||||
regions where seed positions may be suboptimal. This should not be a big
|
||||
concern because even the optimal alignment may be wrong in such regions.
|
||||
|
||||
* Minimap2 does not work well with Illumina short reads as of now.
|
||||
* Minimap2 requires SSE2 instructions on x86 CPUs or NEON on ARM CPUs. It is
|
||||
possible to add non-SIMD support, but it would make minimap2 slower by
|
||||
several times.
|
||||
|
||||
* Minimap2 requires SSE2 instructions to compile. It is possible to add
|
||||
non-SSE2 support, but it would make minimap2 slower by several times.
|
||||
* Minimap2 does not work with a single query or database sequence ~2
|
||||
billion bases or longer (2,147,483,647 to be exact). The total length of all
|
||||
sequences can well exceed this threshold.
|
||||
|
||||
In general, minimap2 is a young project with most code written since June, 2017.
|
||||
It may have bugs and room for improvements. Bug reports and suggestions are
|
||||
warmly welcomed.
|
||||
* Minimap2 often misses small exons.
|
||||
|
||||
|
||||
|
||||
@@ -115,3 +463,14 @@ warmly welcomed.
|
||||
[longislnd]: https://www.ncbi.nlm.nih.gov/pubmed/27667791
|
||||
[gaba]: https://github.com/ocxtal/libgaba
|
||||
[ksw2]: https://github.com/lh3/ksw2
|
||||
[preprint]: https://arxiv.org/abs/1708.01492
|
||||
[release]: https://github.com/lh3/minimap2/releases
|
||||
[mappypypi]: https://pypi.python.org/pypi/mappy
|
||||
[mappyconda]: https://anaconda.org/bioconda/mappy
|
||||
[issue]: https://github.com/lh3/minimap2/issues
|
||||
[k8]: https://github.com/attractivechaos/k8
|
||||
[manpage]: https://lh3.github.io/minimap2/minimap2.html
|
||||
[manpage-cs]: https://lh3.github.io/minimap2/minimap2.html#10
|
||||
[doi]: https://doi.org/10.1093/bioinformatics/bty191
|
||||
[smide]: https://github.com/nemequ/simde
|
||||
[unimap]: https://github.com/lh3/unimap
|
||||
|
||||
@@ -1,22 +1,45 @@
|
||||
#include <zlib.h>
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
#include <assert.h>
|
||||
#define __STDC_LIMIT_MACROS
|
||||
#include "bseq.h"
|
||||
#include "kvec.h"
|
||||
#include "kseq.h"
|
||||
KSEQ_INIT(gzFile, gzread)
|
||||
KSEQ_INIT2(, gzFile, gzread)
|
||||
|
||||
unsigned char seq_comp_table[256] = {
|
||||
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
|
||||
16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
|
||||
32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
|
||||
48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63,
|
||||
64, 'T', 'V', 'G', 'H', 'E', 'F', 'C', 'D', 'I', 'J', 'M', 'L', 'K', 'N', 'O',
|
||||
'P', 'Q', 'Y', 'S', 'A', 'A', 'B', 'W', 'X', 'R', 'Z', 91, 92, 93, 94, 95,
|
||||
96, 't', 'v', 'g', 'h', 'e', 'f', 'c', 'd', 'i', 'j', 'm', 'l', 'k', 'n', 'o',
|
||||
'p', 'q', 'y', 's', 'a', 'a', 'b', 'w', 'x', 'r', 'z', 123, 124, 125, 126, 127,
|
||||
128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143,
|
||||
144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159,
|
||||
160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,
|
||||
176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191,
|
||||
192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207,
|
||||
208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223,
|
||||
224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239,
|
||||
240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255
|
||||
};
|
||||
|
||||
#define CHECK_PAIR_THRES 1000000
|
||||
|
||||
struct mm_bseq_file_s {
|
||||
gzFile fp;
|
||||
kseq_t *ks;
|
||||
mm_bseq1_t s;
|
||||
};
|
||||
|
||||
mm_bseq_file_t *mm_bseq_open(const char *fn)
|
||||
{
|
||||
mm_bseq_file_t *fp;
|
||||
gzFile f;
|
||||
f = fn && strcmp(fn, "-")? gzopen(fn, "r") : gzdopen(fileno(stdin), "r");
|
||||
f = fn && strcmp(fn, "-")? gzopen(fn, "r") : gzdopen(0, "r");
|
||||
if (f == 0) return 0;
|
||||
fp = (mm_bseq_file_t*)calloc(1, sizeof(mm_bseq_file_t));
|
||||
fp->fp = f;
|
||||
@@ -31,32 +54,116 @@ void mm_bseq_close(mm_bseq_file_t *fp)
|
||||
free(fp);
|
||||
}
|
||||
|
||||
mm_bseq1_t *mm_bseq_read(mm_bseq_file_t *fp, int chunk_size, int with_qual, int *n_)
|
||||
static inline char *kstrdup(const kstring_t *s)
|
||||
{
|
||||
int size = 0, m, n;
|
||||
mm_bseq1_t *seqs;
|
||||
char *t;
|
||||
t = (char*)malloc(s->l + 1);
|
||||
memcpy(t, s->s, s->l + 1);
|
||||
return t;
|
||||
}
|
||||
|
||||
static inline void kseq2bseq(kseq_t *ks, mm_bseq1_t *s, int with_qual, int with_comment)
|
||||
{
|
||||
int i;
|
||||
if (ks->name.l == 0)
|
||||
fprintf(stderr, "[WARNING]\033[1;31m empty sequence name in the input.\033[0m\n");
|
||||
s->name = kstrdup(&ks->name);
|
||||
s->seq = kstrdup(&ks->seq);
|
||||
for (i = 0; i < (int)ks->seq.l; ++i) // convert U to T
|
||||
if (s->seq[i] == 'u' || s->seq[i] == 'U')
|
||||
--s->seq[i];
|
||||
s->qual = with_qual && ks->qual.l? kstrdup(&ks->qual) : 0;
|
||||
s->comment = with_comment && ks->comment.l? kstrdup(&ks->comment) : 0;
|
||||
s->l_seq = ks->seq.l;
|
||||
}
|
||||
|
||||
mm_bseq1_t *mm_bseq_read3(mm_bseq_file_t *fp, int64_t chunk_size, int with_qual, int with_comment, int frag_mode, int *n_)
|
||||
{
|
||||
int64_t size = 0;
|
||||
int ret;
|
||||
kvec_t(mm_bseq1_t) a = {0,0,0};
|
||||
kseq_t *ks = fp->ks;
|
||||
m = n = 0; seqs = 0;
|
||||
while (kseq_read(ks) >= 0) {
|
||||
*n_ = 0;
|
||||
if (fp->s.seq) {
|
||||
kv_resize(mm_bseq1_t, 0, a, 256);
|
||||
kv_push(mm_bseq1_t, 0, a, fp->s);
|
||||
size = fp->s.l_seq;
|
||||
memset(&fp->s, 0, sizeof(mm_bseq1_t));
|
||||
}
|
||||
while ((ret = kseq_read(ks)) >= 0) {
|
||||
mm_bseq1_t *s;
|
||||
assert(ks->seq.l <= INT32_MAX);
|
||||
if (n >= m) {
|
||||
m = m? m<<1 : 256;
|
||||
seqs = (mm_bseq1_t*)realloc(seqs, m * sizeof(mm_bseq1_t));
|
||||
if (a.m == 0) kv_resize(mm_bseq1_t, 0, a, 256);
|
||||
kv_pushp(mm_bseq1_t, 0, a, &s);
|
||||
kseq2bseq(ks, s, with_qual, with_comment);
|
||||
size += s->l_seq;
|
||||
if (size >= chunk_size) {
|
||||
if (frag_mode && a.a[a.n-1].l_seq < CHECK_PAIR_THRES) {
|
||||
while ((ret = kseq_read(ks)) >= 0) {
|
||||
kseq2bseq(ks, &fp->s, with_qual, with_comment);
|
||||
if (mm_qname_same(fp->s.name, a.a[a.n-1].name)) {
|
||||
kv_push(mm_bseq1_t, 0, a, fp->s);
|
||||
memset(&fp->s, 0, sizeof(mm_bseq1_t));
|
||||
} else break;
|
||||
}
|
||||
}
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (ret < -1) {
|
||||
if (a.n) fprintf(stderr, "[WARNING]\033[1;31m failed to parse the FASTA/FASTQ record next to '%s'. Continue anyway.\033[0m\n", a.a[a.n-1].name);
|
||||
else fprintf(stderr, "[WARNING]\033[1;31m failed to parse the first FASTA/FASTQ record. Continue anyway.\033[0m\n");
|
||||
}
|
||||
*n_ = a.n;
|
||||
return a.a;
|
||||
}
|
||||
|
||||
mm_bseq1_t *mm_bseq_read2(mm_bseq_file_t *fp, int64_t chunk_size, int with_qual, int frag_mode, int *n_)
|
||||
{
|
||||
return mm_bseq_read3(fp, chunk_size, with_qual, 0, frag_mode, n_);
|
||||
}
|
||||
|
||||
mm_bseq1_t *mm_bseq_read(mm_bseq_file_t *fp, int64_t chunk_size, int with_qual, int *n_)
|
||||
{
|
||||
return mm_bseq_read2(fp, chunk_size, with_qual, 0, n_);
|
||||
}
|
||||
|
||||
mm_bseq1_t *mm_bseq_read_frag2(int n_fp, mm_bseq_file_t **fp, int64_t chunk_size, int with_qual, int with_comment, int *n_)
|
||||
{
|
||||
int i;
|
||||
int64_t size = 0;
|
||||
kvec_t(mm_bseq1_t) a = {0,0,0};
|
||||
*n_ = 0;
|
||||
if (n_fp < 1) return 0;
|
||||
while (1) {
|
||||
int n_read = 0;
|
||||
for (i = 0; i < n_fp; ++i)
|
||||
if (kseq_read(fp[i]->ks) >= 0)
|
||||
++n_read;
|
||||
if (n_read < n_fp) {
|
||||
if (n_read > 0)
|
||||
fprintf(stderr, "[W::%s]\033[1;31m query files have different number of records; extra records skipped.\033[0m\n", __func__);
|
||||
break; // some file reaches the end
|
||||
}
|
||||
if (a.m == 0) kv_resize(mm_bseq1_t, 0, a, 256);
|
||||
for (i = 0; i < n_fp; ++i) {
|
||||
mm_bseq1_t *s;
|
||||
kv_pushp(mm_bseq1_t, 0, a, &s);
|
||||
kseq2bseq(fp[i]->ks, s, with_qual, with_comment);
|
||||
size += s->l_seq;
|
||||
}
|
||||
s = &seqs[n];
|
||||
s->name = strdup(ks->name.s);
|
||||
s->seq = strdup(ks->seq.s);
|
||||
s->qual = with_qual && ks->qual.l? strdup(ks->qual.s) : 0;
|
||||
s->l_seq = ks->seq.l;
|
||||
size += seqs[n++].l_seq;
|
||||
if (size >= chunk_size) break;
|
||||
}
|
||||
*n_ = n;
|
||||
return seqs;
|
||||
*n_ = a.n;
|
||||
return a.a;
|
||||
}
|
||||
|
||||
mm_bseq1_t *mm_bseq_read_frag(int n_fp, mm_bseq_file_t **fp, int64_t chunk_size, int with_qual, int *n_)
|
||||
{
|
||||
return mm_bseq_read_frag2(n_fp, fp, chunk_size, with_qual, 0, n_);
|
||||
}
|
||||
|
||||
int mm_bseq_eof(mm_bseq_file_t *fp)
|
||||
{
|
||||
return ks_eof(fp->ks->f);
|
||||
return (ks_eof(fp->ks->f) && fp->s.seq == 0);
|
||||
}
|
||||
|
||||
@@ -2,6 +2,7 @@
|
||||
#define MM_BSEQ_H
|
||||
|
||||
#include <stdint.h>
|
||||
#include <string.h>
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
@@ -12,15 +13,49 @@ typedef struct mm_bseq_file_s mm_bseq_file_t;
|
||||
|
||||
typedef struct {
|
||||
int l_seq, rid;
|
||||
char *name, *seq, *qual;
|
||||
char *name, *seq, *qual, *comment;
|
||||
} mm_bseq1_t;
|
||||
|
||||
mm_bseq_file_t *mm_bseq_open(const char *fn);
|
||||
void mm_bseq_close(mm_bseq_file_t *fp);
|
||||
mm_bseq1_t *mm_bseq_read(mm_bseq_file_t *fp, int chunk_size, int with_qual, int *n_);
|
||||
mm_bseq1_t *mm_bseq_read3(mm_bseq_file_t *fp, int64_t chunk_size, int with_qual, int with_comment, int frag_mode, int *n_);
|
||||
mm_bseq1_t *mm_bseq_read2(mm_bseq_file_t *fp, int64_t chunk_size, int with_qual, int frag_mode, int *n_);
|
||||
mm_bseq1_t *mm_bseq_read(mm_bseq_file_t *fp, int64_t chunk_size, int with_qual, int *n_);
|
||||
mm_bseq1_t *mm_bseq_read_frag2(int n_fp, mm_bseq_file_t **fp, int64_t chunk_size, int with_qual, int with_comment, int *n_);
|
||||
mm_bseq1_t *mm_bseq_read_frag(int n_fp, mm_bseq_file_t **fp, int64_t chunk_size, int with_qual, int *n_);
|
||||
int mm_bseq_eof(mm_bseq_file_t *fp);
|
||||
|
||||
extern unsigned char seq_nt4_table[256];
|
||||
extern unsigned char seq_comp_table[256];
|
||||
|
||||
static inline int mm_qname_len(const char *s)
|
||||
{
|
||||
int l;
|
||||
l = strlen(s);
|
||||
return l >= 3 && s[l-1] >= '0' && s[l-1] <= '9' && s[l-2] == '/'? l - 2 : l;
|
||||
}
|
||||
|
||||
static inline int mm_qname_same(const char *s1, const char *s2)
|
||||
{
|
||||
int l1, l2;
|
||||
l1 = mm_qname_len(s1);
|
||||
l2 = mm_qname_len(s2);
|
||||
return (l1 == l2 && strncmp(s1, s2, l1) == 0);
|
||||
}
|
||||
|
||||
static inline void mm_revcomp_bseq(mm_bseq1_t *s)
|
||||
{
|
||||
int i, t, l = s->l_seq;
|
||||
for (i = 0; i < l>>1; ++i) {
|
||||
t = s->seq[l - i - 1];
|
||||
s->seq[l - i - 1] = seq_comp_table[(uint8_t)s->seq[i]];
|
||||
s->seq[i] = seq_comp_table[t];
|
||||
}
|
||||
if (l&1) s->seq[l>>1] = seq_comp_table[(uint8_t)s->seq[l>>1]];
|
||||
if (s->qual)
|
||||
for (i = 0; i < l>>1; ++i)
|
||||
t = s->qual[l - i - 1], s->qual[l - i - 1] = s->qual[i], s->qual[i] = t;
|
||||
}
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
|
||||
Executable
+16
@@ -0,0 +1,16 @@
|
||||
ref_data=$1
|
||||
preset=$2
|
||||
|
||||
make clean && make lhash_index=1
|
||||
touch temp_read.fastq
|
||||
./minimap2 -ax $2 $1 temp_read.fastq >/dev/null
|
||||
|
||||
kv_file=$1"_"$2"_minimizers_key_value_sorted"
|
||||
|
||||
full_path=`readlink -f $kv_file`
|
||||
|
||||
cd ./ext/TAL
|
||||
make lisa_hash
|
||||
./build-lisa-hash-index $full_path
|
||||
|
||||
rm ../../temp_read.fastq
|
||||
@@ -1,149 +0,0 @@
|
||||
#include <stdint.h>
|
||||
#include <string.h>
|
||||
#include <stdio.h>
|
||||
#include "minimap.h"
|
||||
#include "mmpriv.h"
|
||||
#include "kalloc.h"
|
||||
|
||||
static const char LogTable256[256] = {
|
||||
#define LT(n) n, n, n, n, n, n, n, n, n, n, n, n, n, n, n, n
|
||||
-1, 0, 1, 1, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3,
|
||||
LT(4), LT(5), LT(5), LT(6), LT(6), LT(6), LT(6),
|
||||
LT(7), LT(7), LT(7), LT(7), LT(7), LT(7), LT(7), LT(7)
|
||||
};
|
||||
|
||||
static inline int ilog2_32(uint32_t v)
|
||||
{
|
||||
register uint32_t t, tt;
|
||||
if ((tt = v>>16)) return (t = tt>>8) ? 24 + LogTable256[t] : 16 + LogTable256[tt];
|
||||
return (t = v>>8) ? 8 + LogTable256[t] : LogTable256[v];
|
||||
}
|
||||
|
||||
int mm_chain_dp(int max_dist_x, int max_dist_y, int bw, int max_skip, int min_cnt, int min_sc, int is_cdna, int64_t n, mm128_t *a, uint64_t **_u, void *km)
|
||||
{ // TODO: make sure this works when n has more than 32 bits
|
||||
int32_t st = 0, k, *f, *p, *t, *v, n_u, n_v;
|
||||
int64_t i, j;
|
||||
uint64_t *u, *u2, sum_qspan = 0;
|
||||
float avg_qspan;
|
||||
mm128_t *b, *w;
|
||||
|
||||
if (_u) *_u = 0;
|
||||
f = (int32_t*)kmalloc(km, n * 4);
|
||||
p = (int32_t*)kmalloc(km, n * 4);
|
||||
t = (int32_t*)kmalloc(km, n * 4);
|
||||
v = (int32_t*)kmalloc(km, n * 4);
|
||||
memset(t, 0, n * 4);
|
||||
|
||||
for (i = 0; i < n; ++i) sum_qspan += a[i].y>>32&0xff;
|
||||
avg_qspan = (float)sum_qspan / n;
|
||||
|
||||
// fill the score and backtrack arrays
|
||||
for (i = 0; i < n; ++i) {
|
||||
uint64_t ri = a[i].x;
|
||||
int32_t qi = (int32_t)a[i].y, q_span = a[i].y>>32&0xff; // NB: only 8 bits of span is used!!!
|
||||
int32_t max_f = q_span, max_j = -1, n_skip = 0, min_d, max_f_past = -INT32_MAX;
|
||||
while (st < i && ri - a[st].x > max_dist_x) ++st;
|
||||
for (j = i - 1; j >= st; --j) {
|
||||
int64_t dr = ri - a[j].x;
|
||||
int32_t dq = qi - (int32_t)a[j].y, dd, sc;
|
||||
if (dr == 0 || dq <= 0 || dq > max_dist_y) continue;
|
||||
dd = dr > dq? dr - dq : dq - dr;
|
||||
if (dd > bw) continue;
|
||||
max_f_past = max_f_past > f[j]? max_f_past : f[j];
|
||||
min_d = dq < dr? dq : dr;
|
||||
sc = min_d > q_span? q_span : dq < dr? dq : dr;
|
||||
if (is_cdna) {
|
||||
int c_log, c_lin;
|
||||
c_lin = (int)(dd * .01 * avg_qspan);
|
||||
c_log = ilog2_32(dd);
|
||||
if (dr > dq) sc -= c_lin < c_log? c_lin : c_log;
|
||||
else sc -= c_lin + (c_log>>1);
|
||||
} else sc -= (int)(dd * .01 * avg_qspan) + (ilog2_32(dd)>>1);
|
||||
sc += f[j];
|
||||
if (sc > max_f) {
|
||||
max_f = sc, max_j = j;
|
||||
if (n_skip > 0) --n_skip;
|
||||
} else if (t[j] == i) {
|
||||
if (++n_skip > max_skip)
|
||||
break;
|
||||
}
|
||||
if (p[j] >= 0) t[p[j]] = i;
|
||||
}
|
||||
f[i] = max_f, p[i] = max_j, v[i] = max_f_past; // v[] keeps the max score in the previous chain
|
||||
}
|
||||
|
||||
// find the ending positions of chains
|
||||
memset(t, 0, n * 4);
|
||||
for (i = 0; i < n; ++i)
|
||||
if (p[i] >= 0) t[p[i]] = 1;
|
||||
for (i = n_u = 0; i < n; ++i)
|
||||
if (t[i] == 0 && v[i] >= min_sc)
|
||||
++n_u;
|
||||
if (n_u == 0) {
|
||||
kfree(km, f); kfree(km, p); kfree(km, t); kfree(km, v);
|
||||
return 0;
|
||||
}
|
||||
u = (uint64_t*)kmalloc(km, n_u * 8);
|
||||
for (i = n_u = 0; i < n; ++i) {
|
||||
if (t[i] == 0 && v[i] >= min_sc) {
|
||||
j = i;
|
||||
while (j >= 0 && f[j] < v[j]) j = p[j]; // find the point that maximizes f[]
|
||||
if (j < 0) j = i; // TODO: this should really be assert(j>=0)
|
||||
u[n_u++] = (uint64_t)f[j] << 32 | j;
|
||||
}
|
||||
}
|
||||
radix_sort_64(u, u + n_u);
|
||||
for (i = 0; i < n_u>>1; ++i) { // reverse, s.t. the highest scoring chain is the first
|
||||
uint64_t t = u[i];
|
||||
u[i] = u[n_u - i - 1], u[n_u - i - 1] = t;
|
||||
}
|
||||
|
||||
// backtrack
|
||||
memset(t, 0, n * 4);
|
||||
for (i = n_v = k = 0; i < n_u; ++i) { // starting from the highest score
|
||||
int32_t n_v0 = n_v, k0 = k;
|
||||
j = (int32_t)u[i];
|
||||
do {
|
||||
v[n_v++] = j;
|
||||
t[j] = 1;
|
||||
j = p[j];
|
||||
} while (j >= 0 && t[j] == 0);
|
||||
if (j < 0) {
|
||||
if (n_v - n_v0 >= min_cnt) u[k++] = u[i]>>32<<32 | (n_v - n_v0);
|
||||
} else if ((int32_t)(u[i]>>32) - f[j] >= min_sc) {
|
||||
if (n_v - n_v0 >= min_cnt) u[k++] = ((u[i]>>32) - f[j]) << 32 | (n_v - n_v0);
|
||||
}
|
||||
if (k0 == k) n_v = n_v0; // no new chain added, reset
|
||||
}
|
||||
n_u = k, *_u = u; // NB: note that u[] may not be sorted by score here
|
||||
|
||||
// free
|
||||
kfree(km, f); kfree(km, p); kfree(km, t);
|
||||
|
||||
// write the result to b[]
|
||||
b = (mm128_t*)kmalloc(km, n_v * sizeof(mm128_t));
|
||||
for (i = 0, k = 0; i < n_u; ++i) {
|
||||
int32_t k0 = k, ni = (int32_t)u[i];
|
||||
for (j = 0; j < ni; ++j)
|
||||
b[k] = a[v[k0 + (ni - j - 1)]], ++k;
|
||||
}
|
||||
kfree(km, v);
|
||||
|
||||
// sort u[] and a[] by a[].x, such that adjacent chains may be joined (required by mm_join_long)
|
||||
w = (mm128_t*)kmalloc(km, n_u * sizeof(mm128_t));
|
||||
for (i = k = 0; i < n_u; ++i) {
|
||||
w[i].x = b[k].x, w[i].y = (uint64_t)k<<32|i;
|
||||
k += (int32_t)u[i];
|
||||
}
|
||||
radix_sort_128x(w, w + n_u);
|
||||
u2 = (uint64_t*)kmalloc(km, n_u * 8);
|
||||
for (i = k = 0; i < n_u; ++i) {
|
||||
int32_t j = (int32_t)w[i].y, n = (int32_t)u[j];
|
||||
u2[i] = u[j];
|
||||
memcpy(&a[k], &b[w[i].y>>32], n * sizeof(mm128_t));
|
||||
k += n;
|
||||
}
|
||||
memcpy(u, u2, n_u * 8);
|
||||
kfree(km, b); kfree(km, w); kfree(km, u2);
|
||||
return n_u;
|
||||
}
|
||||
@@ -0,0 +1,30 @@
|
||||
## Contributor Code of Conduct
|
||||
|
||||
As contributors and maintainers of this project, we pledge to respect all
|
||||
people who contribute through reporting issues, posting feature requests,
|
||||
updating documentation, submitting pull requests or patches, and other
|
||||
activities.
|
||||
|
||||
We are committed to making participation in this project a harassment-free
|
||||
experience for everyone, regardless of level of experience, gender, gender
|
||||
identity and expression, sexual orientation, disability, personal appearance,
|
||||
body size, race, age, or religion.
|
||||
|
||||
Examples of unacceptable behavior by participants include the use of sexual
|
||||
language or imagery, derogatory comments or personal attacks, trolling, public
|
||||
or private harassment, insults, or other unprofessional conduct.
|
||||
|
||||
Project maintainers have the right and responsibility to remove, edit, or
|
||||
reject comments, commits, code, wiki edits, issues, and other contributions
|
||||
that are not aligned to this Code of Conduct. Project maintainers or
|
||||
contributors who do not follow the Code of Conduct may be removed from the
|
||||
project team.
|
||||
|
||||
Instances of abusive, harassing, or otherwise unacceptable behavior may be
|
||||
reported by opening an issue or contacting the maintainer via email.
|
||||
|
||||
This Code of Conduct is adapted from the [Contributor Covenant][cc], [version
|
||||
1.0.0][v1].
|
||||
|
||||
[cc]: http://contributor-covenant.org/
|
||||
[v1]: http://contributor-covenant.org/version/1/0/0/
|
||||
+243
@@ -0,0 +1,243 @@
|
||||
## Table of Contents
|
||||
|
||||
- [Introduction & Installation](#intro)
|
||||
- [Mapping Genomic Reads](#map-reads)
|
||||
* [Mapping long reads](#map-pb)
|
||||
* [Mapping Illumina paired-end reads](#map-sr)
|
||||
* [Evaluating mapping accuracy with simulated reads (for developers)](#mapeval)
|
||||
- [Mapping Long RNA-seq Reads](#map-rna)
|
||||
* [Mapping Nanopore 2D cDNA reads](#map-ont-cdna-2d)
|
||||
* [Mapping Nanopore direct-RNA reads](#map-direct-rna)
|
||||
* [Mapping PacBio Iso-seq reads](#map-iso-seq)
|
||||
- [Full-Genome Alignment](#genome-aln)
|
||||
* [Intra-species assembly alignment](#asm-to-ref)
|
||||
* [Cross-species full-genome alignment](#x-species)
|
||||
* [Eyeballing alignment](#view-aln)
|
||||
* [Calling variants from assembly-to-reference alignment](#asm-var)
|
||||
* [Constructing self-homology map](#hom-map)
|
||||
* [Lift Over (for developers)](#liftover)
|
||||
- [Read Overlap](#read-overlap)
|
||||
* [Long-read overlap](#long-read-overlap)
|
||||
* [Evaluating overlap sensitivity (for developers)](#ov-eval)
|
||||
|
||||
## <a name="intro"></a>Introduction & Installation
|
||||
|
||||
This cookbook walks you through a variety of applications of minimap2 and its
|
||||
companion script `paftools.js`. All data here are freely available from the
|
||||
minimap2 release page at version tag [v2.10][v2.10]. Some examples only work
|
||||
with v2.10 or later.
|
||||
|
||||
To acquire the data used in this cookbook and to install minimap2 and paftools,
|
||||
please follow the command lines below:
|
||||
```sh
|
||||
# install minimap2 executables
|
||||
curl -L https://github.com/lh3/minimap2/releases/download/v2.22/minimap2-2.22_x64-linux.tar.bz2 | tar jxf -
|
||||
cp minimap2-2.22_x64-linux/{minimap2,k8,paftools.js} . # copy executables
|
||||
export PATH="$PATH:"`pwd` # put the current directory on PATH
|
||||
# download example datasets
|
||||
curl -L https://github.com/lh3/minimap2/releases/download/v2.10/cookbook-data.tgz | tar zxf -
|
||||
```
|
||||
|
||||
## <a name="map-reads"></a>Mapping Genomic Reads
|
||||
|
||||
### <a name="map-pb"></a>Mapping long reads
|
||||
```sh
|
||||
minimap2 -ax map-pb -t4 ecoli_ref.fa ecoli_p6_25x_canu.fa > mapped.sam
|
||||
```
|
||||
Alternatively, you can create a minimap2 index first and then map:
|
||||
```sh
|
||||
minimap2 -x map-pb -d ecoli-pb.mmi ecoli_ref.fa # create an index
|
||||
minimap2 -ax map-pb ecoli-pb.mmi ecoli_p6_25x_canu.fa > mapped.sam
|
||||
```
|
||||
This will save you a couple of minutes when you map against the human genome.
|
||||
**HOWEVER**, key algorithm parameters such as the k-mer length and window
|
||||
size can't be changed after indexing. Minimap2 will give you a warning if
|
||||
parameters used in a pre-built index doesn't match parameters on the command
|
||||
line. **Please always make sure you are using an intended pre-built index.**
|
||||
|
||||
### <a name="map-sr"></a>Mapping Illumina paired-end reads:
|
||||
```sh
|
||||
minimap2 -ax sr -t4 ecoli_ref.fa ecoli_mason_1.fq ecoli_mason_2.fq > mapped-sr.sam
|
||||
```
|
||||
|
||||
### <a name="mapeval"></a>Evaluating mapping accuracy with simulated reads (for developers)
|
||||
```sh
|
||||
minimap2 -ax sr ecoli_ref.fa ecoli_mason_1.fq ecoli_mason_2.fq | paftools.js mapeval -
|
||||
```
|
||||
The output is:
|
||||
```
|
||||
Q 60 19712 0 0.000000000 19712
|
||||
Q 0 282 219 0.010953286 19994
|
||||
U 6
|
||||
```
|
||||
where a `U`-line gives the number of unmapped reads (for SAM input only); a
|
||||
`Q`-line gives:
|
||||
|
||||
1. Mapping quality (mapQ) threshold
|
||||
2. Number of mapped reads between this threshold and the previous mapQ threshold.
|
||||
3. Number of wrong mappings in the same mapQ interval
|
||||
4. Accumulative mapping error rate
|
||||
5. Accumulative number of mappings
|
||||
|
||||
For `paftools.js mapeval` to work, you need to encode the true read positions
|
||||
in read names in the right format. For [pbsim2][pbsim] and [mason2][mason2], we
|
||||
provide scripts to generate the right format. Simulated reads in this cookbook
|
||||
were created with the following command lines:
|
||||
```sh
|
||||
# in the pbsim2 source code directory:
|
||||
src/pbsim --depth 1 --length-min 5000 --length-mean 20000 --accuracy-mean 0.95 --hmm_model data/R94.model ../ecoli_ref.fa
|
||||
paftools.js pbsim2fq ../ecoli_ref.fa.fai sd_0001.maf > ../ecoli_pbsim.fa
|
||||
|
||||
# mason2 simulation
|
||||
mason_simulator --illumina-prob-mismatch-scale 2.5 -ir ecoli_ref.fa -n 10000 -o tmp-l.fq -or tmp-r.fq -oa tmp.sam
|
||||
paftools.js mason2fq tmp.sam | seqtk seq -1 > ecoli_mason_1.fq
|
||||
paftools.js mason2fq tmp.sam | seqtk seq -2 > ecoli_mason_2.fq
|
||||
```
|
||||
|
||||
|
||||
|
||||
## <a name="map-rna"></a>Mapping Long RNA-seq Reads
|
||||
|
||||
### <a name="map-ont-cdna-2d"></a>Mapping Nanopore 2D cDNA reads
|
||||
```sh
|
||||
minimap2 -ax splice SIRV_E2.fa SIRV_ont-cdna.fa > aln.sam
|
||||
```
|
||||
You can compare the alignment to the true annotations with:
|
||||
```sh
|
||||
paftools.js junceval SIRV_E2C.gtf aln.sam
|
||||
```
|
||||
It gives the percentage of introns found in the annotation. For SIRV data, it
|
||||
is possible to achieve higher junction accuracy with
|
||||
```sh
|
||||
minimap2 -ax splice --splice-flank=no SIRV_E2.fa SIRV_ont-cdna.fa | paftools.js junceval SIRV_E2C.gtf
|
||||
```
|
||||
This is because minimap2 models one additional evolutionarily conserved base
|
||||
around a canonical junction, but SIRV doesn't honor this signal. Option
|
||||
`--splice-flank=no` asks minimap2 no to model this additional base.
|
||||
|
||||
In the output a tag `ts:A:+` indicates that the read strand is the same as the
|
||||
transcript strand; `ts:A:-` indicates the read strand is opposite to the
|
||||
transcript strand. This tag is inferred from the GT-AG signal and is thus only
|
||||
available to spliced reads.
|
||||
|
||||
### <a name="map-direct-rna"></a>Mapping Nanopore direct-RNA reads
|
||||
```sh
|
||||
minimap2 -ax splice -k14 -uf SIRV_E2.fa SIRV_ont-drna.fa > aln.sam
|
||||
```
|
||||
Direct-RNA reads are noisier, so we use a shorter k-mer for improved
|
||||
sensitivity. Here, option `-uf` forces minimap2 to map reads to the forward
|
||||
transcript strand only because direct-RNA reads are stranded. Again, applying
|
||||
`--splice-flank=no` helps junction accuracy for SIRV data.
|
||||
|
||||
### <a name="map-iso-seq"></a>Mapping PacBio Iso-seq reads
|
||||
```sh
|
||||
minimap2 -ax splice -uf -C5 SIRV_E2.fa SIRV_iso-seq.fq > aln.sam
|
||||
```
|
||||
Option `-C5` reduces the penalty on non-canonical splicing sites. It helps
|
||||
to align such sites correctly for data with low error rate such as Iso-seq
|
||||
reads and traditional cDNAs. On this example, minimap2 makes one junction
|
||||
error. Applying `--splice-flank=no` fixes this alignment error.
|
||||
|
||||
Note that the command line above is optimized for the final Iso-seq reads.
|
||||
PacBio's Iso-seq pipeline produces intermediate sequences at varying quality.
|
||||
For example, some intermediate reads are not stranded. For these reads, option
|
||||
`-uf` will lead to more errors. Please revise the minimap2 command line
|
||||
accordingly.
|
||||
|
||||
|
||||
|
||||
## <a name="genome-aln"></a>Full-Genome Alignment
|
||||
|
||||
### <a name="asm-to-ref"></a>Intra-species assembly alignment
|
||||
```sh
|
||||
# option "--cs" is recommended as paftools.js may need it
|
||||
minimap2 -cx asm5 --cs ecoli_ref.fa ecoli_canu.fa > ecoli_canu.paf
|
||||
```
|
||||
Here `ecoli_canu.fa` is the Canu assembly of `ecoli_p6_25x_canu.fa`. This
|
||||
command line outputs alignments in the [PAF format][paf]. Use `-a` instead of
|
||||
`-c` to get output in the SAM format.
|
||||
|
||||
### <a name="x-species"></a>Cross-species full-genome alignment
|
||||
```sh
|
||||
minimap2 -cx asm20 --cs ecoli_ref.fa ecoli_O104:H4.fa > ecoli_O104:H4.paf
|
||||
sort -k6,6 -k8,8n ecoli_O104:H4.paf | paftools.js call -f ecoli_ref.fa -L10000 -l1000 - > out.vcf
|
||||
```
|
||||
Minimap2 has three presets for full-genome alignment: "asm5" for sequence
|
||||
divergence below 1%, "asm10" for divergence around a couple of percent and
|
||||
"asm20" for divergence not more than 10%. In theory, with the right setting,
|
||||
minimap2 should work for sequence pairs with sequence divergence up to ~15%,
|
||||
but this has not been carefully evaluated.
|
||||
|
||||
### <a name="view-aln"></a>Eyeballing alignment
|
||||
```sh
|
||||
# option "--cs" required; minimap2-r741 or higher required for the "asm20" preset
|
||||
minimap2 -cx asm20 --cs ecoli_ref.fa ecoli_O104:H4.fa | paftools.js view - | less -S
|
||||
```
|
||||
This prints the alignment in a BLAST-like format.
|
||||
|
||||
### <a name="asm-var"></a>Calling variants from assembly-to-reference alignment
|
||||
```sh
|
||||
# don't forget the "--cs" option; otherwise it doesn't work
|
||||
minimap2 -cx asm5 --cs ecoli_ref.fa ecoli_canu.fa \
|
||||
| sort -k6,6 -k8,8n \
|
||||
| paftools.js call -f ecoli_ref.fa - > out.vcf
|
||||
```
|
||||
Without option `-f`, `paftools.js call` outputs in a custom format. In this
|
||||
format, lines starting with `R` give the regions covered by one contig only.
|
||||
This information is not available in the VCF output.
|
||||
|
||||
### <a name="hom-map"></a>Constructing self-homology map
|
||||
```sh
|
||||
minimap2 -DP -k19 -w19 -m200 ecoli_ref.fa ecoli_ref.fa > out.paf
|
||||
```
|
||||
Option `-D` asks minimap2 to ignore anchors from perfect self match and `-P`
|
||||
outputs all chains. For large nomes, we don't recommend to perform base-level
|
||||
alignment (with `-c`, `-a` or `--cs`) when `-P` is applied. This is because
|
||||
base-alignment is slow and occasionally gives wrong alignments close to the
|
||||
diagonal of a dotter plot. For E. coli, though, base-alignment is still fast.
|
||||
|
||||
### <a name="liftover"></a>Lift over (for developers)
|
||||
```sh
|
||||
minimap2 -cx asm5 --cs ecoli_ref.fa ecoli_canu.fa > ecoli_canu.paf
|
||||
echo -e 'tig00000001\t200000\t300000' | paftools.js liftover ecoli_canu.paf -
|
||||
```
|
||||
This lifts over a region on query sequences to one or multiple regions on
|
||||
reference sequences. Note that this paftools.js command may not be efficient
|
||||
enough to lift millions of regions.
|
||||
|
||||
|
||||
|
||||
## <a name="read-overlap"></a>Read Overlap
|
||||
|
||||
### <a name="long-read-overlap"></a>Long read overlap
|
||||
```sh
|
||||
# For pacbio reads:
|
||||
minimap2 -x ava-pb ecoli_p6_25x_canu.fa ecoli_p6_25x_canu.fa > overlap.paf
|
||||
# For Nanopore reads (ava-ont also works with PacBio but not as good):
|
||||
minimap2 -x ava-ont -r 10000 ecoli_p6_25x_canu.fa ecoli_p6_25x_canu.fa > overlap.paf
|
||||
# If you have miniasm installed:
|
||||
miniasm -f ecoli_p6_25x_canu.fa overlap.paf > asm.gfa
|
||||
```
|
||||
Here we explicitly applied `-r 10000`. We are considering to set this as the
|
||||
default for the `ava-ont` mode as this seems to improve the contiguity for
|
||||
nanopore read assembly (Loman, personal communication).
|
||||
|
||||
*Minimap2 doesn't work well with short-read overlap.*
|
||||
|
||||
### <a name="ov-eval"></a>Evaluating overlap sensitivity (for developers)
|
||||
|
||||
```sh
|
||||
# read to reference mapping
|
||||
minimap2 -cx map-pb ecoli_ref.fa ecoli_p6_25x_canu.fa > to-ref.paf
|
||||
# evaluate overlap sensitivity
|
||||
sort -k6,6 -k8,8n to-ref.paf | paftools.js ov-eval - overlap.paf
|
||||
```
|
||||
You can see that for PacBio reads, minimap2 achieves higher overlap sensitivity
|
||||
with `-x ava-pb` (99% vs 93% with `-x ava-ont`).
|
||||
|
||||
|
||||
|
||||
[pbsim]: https://github.com/yukiteruono/pbsim2
|
||||
[mason2]: https://github.com/seqan/seqan/tree/master/apps/mason2
|
||||
[paf]: https://github.com/lh3/miniasm/blob/master/PAF.md
|
||||
[v2.10]: https://github.com/lh3/minimap2/releases/tag/v2.10
|
||||
@@ -0,0 +1,64 @@
|
||||
#include <math.h>
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <assert.h>
|
||||
#include "mmpriv.h"
|
||||
|
||||
static inline int32_t get_for_qpos(int32_t qlen, const mm128_t *a)
|
||||
{
|
||||
int32_t x = (int32_t)a->y;
|
||||
int32_t q_span = a->y>>32 & 0xff;
|
||||
if (a->x>>63)
|
||||
x = qlen - 1 - (x + 1 - q_span); // revert the position to the forward strand of query
|
||||
return x;
|
||||
}
|
||||
|
||||
static int get_mini_idx(int qlen, const mm128_t *a, int32_t n, const uint64_t *mini_pos)
|
||||
{
|
||||
int32_t x, L = 0, R = n - 1;
|
||||
x = get_for_qpos(qlen, a);
|
||||
while (L <= R) { // binary search
|
||||
int32_t m = ((uint64_t)L + R) >> 1;
|
||||
int32_t y = (int32_t)mini_pos[m];
|
||||
if (y < x) L = m + 1;
|
||||
else if (y > x) R = m - 1;
|
||||
else return m;
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
void mm_est_err(const mm_idx_t *mi, int qlen, int n_regs, mm_reg1_t *regs, const mm128_t *a, int32_t n, const uint64_t *mini_pos)
|
||||
{
|
||||
int i;
|
||||
uint64_t sum_k = 0;
|
||||
float avg_k;
|
||||
|
||||
if (n == 0) return;
|
||||
for (i = 0; i < n; ++i)
|
||||
sum_k += mini_pos[i] >> 32 & 0xff;
|
||||
avg_k = (float)sum_k / n;
|
||||
|
||||
for (i = 0; i < n_regs; ++i) {
|
||||
mm_reg1_t *r = ®s[i];
|
||||
int32_t st, en, j, k, n_match, n_tot, l_ref;
|
||||
r->div = -1.0f;
|
||||
if (r->cnt == 0) continue;
|
||||
st = en = get_mini_idx(qlen, r->rev? &a[r->as + r->cnt - 1] : &a[r->as], n, mini_pos);
|
||||
if (st < 0) {
|
||||
if (mm_verbose >= 2)
|
||||
fprintf(stderr, "[WARNING] logic inconsistency in mm_est_err(). Please contact the developer.\n");
|
||||
continue;
|
||||
}
|
||||
l_ref = mi->seq[r->rid].len;
|
||||
for (k = 1, j = st + 1, n_match = 1; j < n && k < r->cnt; ++j) {
|
||||
int32_t x;
|
||||
x = get_for_qpos(qlen, r->rev? &a[r->as + r->cnt - 1 - k] : &a[r->as + k]);
|
||||
if (x == (int32_t)mini_pos[j])
|
||||
++k, en = j, ++n_match;
|
||||
}
|
||||
n_tot = en - st + 1;
|
||||
if (r->qs > avg_k && r->rs > avg_k) ++n_tot;
|
||||
if (qlen - r->qs > avg_k && l_ref - r->re > avg_k) ++n_tot;
|
||||
r->div = n_match >= n_tot? 0.0f : (float)(1.0 - pow((double)n_match / n_tot, 1.0 / avg_k));
|
||||
}
|
||||
}
|
||||
@@ -11,53 +11,53 @@ KSEQ_INIT(gzFile, gzread)
|
||||
|
||||
int main(int argc, char *argv[])
|
||||
{
|
||||
mm_idxopt_t iopt;
|
||||
mm_mapopt_t mopt;
|
||||
int n_threads = 3;
|
||||
|
||||
mm_verbose = 2; // disable message output to stderr
|
||||
mm_set_opt(0, &iopt, &mopt);
|
||||
mopt.flag |= MM_F_CIGAR; // perform alignment
|
||||
|
||||
if (argc < 3) {
|
||||
fprintf(stderr, "Usage: minimap2-lite <target.fa> <query.fa>\n");
|
||||
return 1;
|
||||
}
|
||||
|
||||
|
||||
// open query file for reading; you may use your favorite FASTA/Q parser
|
||||
gzFile f = gzopen(argv[2], "r");
|
||||
assert(f);
|
||||
kseq_t *ks = kseq_init(f);
|
||||
|
||||
// create index for target; we are creating one index for all target sequence
|
||||
int n_threads = 4, w = 10, k = 15, is_hpc = 0;
|
||||
mm_idx_t *mi = mm_idx_build(argv[1], w, k, is_hpc, n_threads);
|
||||
assert(mi);
|
||||
|
||||
// mapping
|
||||
mm_mapopt_t opt;
|
||||
mm_mapopt_init(&opt); // initialize mapping parameters
|
||||
mm_mapopt_update(&opt, mi); // this sets the maximum minimizer occurrence; TODO: set a better default in mm_mapopt_init()!
|
||||
opt.flag |= MM_F_CIGAR; // perform alignment
|
||||
mm_tbuf_t *tbuf = mm_tbuf_init(); // thread buffer; for multi-threading, allocate one tbuf for each thread
|
||||
while (kseq_read(ks) >= 0) { // each kseq_read() call reads one query sequence
|
||||
mm_reg1_t *reg;
|
||||
int j, i, n_reg;
|
||||
// get all hits for the query
|
||||
reg = mm_map(mi, ks->seq.l, ks->seq.s, &n_reg, tbuf, &opt, 0);
|
||||
// traverse hits and print them out
|
||||
for (j = 0; j < n_reg; ++j) {
|
||||
mm_reg1_t *r = ®[j];
|
||||
assert(r->p); // with MM_F_CIGAR, this should not be NULL
|
||||
printf("%s\t%d\t%d\t%d\t%c\t", ks->name.s, ks->seq.l, r->qs, r->qe, "+-"[r->rev]);
|
||||
printf("%s\t%d\t%d\t%d\t%d\t%d\t%d\tcg:Z:", mi->seq[r->rid].name, mi->seq[r->rid].len, r->rs, r->re,
|
||||
r->p->blen - r->p->n_ambi - r->p->n_diff, r->p->blen, r->mapq);
|
||||
for (i = 0; i < r->p->n_cigar; ++i) // IMPORTANT: this gives the CIGAR in the aligned regions. NO soft/hard clippings!
|
||||
printf("%d%c", r->p->cigar[i]>>4, "MIDSHN"[r->p->cigar[i]&0xf]);
|
||||
putchar('\n');
|
||||
free(r->p);
|
||||
// open index reader
|
||||
mm_idx_reader_t *r = mm_idx_reader_open(argv[1], &iopt, 0);
|
||||
mm_idx_t *mi;
|
||||
while ((mi = mm_idx_reader_read(r, n_threads)) != 0) { // traverse each part of the index
|
||||
mm_mapopt_update(&mopt, mi); // this sets the maximum minimizer occurrence; TODO: set a better default in mm_mapopt_init()!
|
||||
mm_tbuf_t *tbuf = mm_tbuf_init(); // thread buffer; for multi-threading, allocate one tbuf for each thread
|
||||
gzrewind(f);
|
||||
kseq_rewind(ks);
|
||||
while (kseq_read(ks) >= 0) { // each kseq_read() call reads one query sequence
|
||||
mm_reg1_t *reg;
|
||||
int j, i, n_reg;
|
||||
reg = mm_map(mi, ks->seq.l, ks->seq.s, &n_reg, tbuf, &mopt, 0); // get all hits for the query
|
||||
for (j = 0; j < n_reg; ++j) { // traverse hits and print them out
|
||||
mm_reg1_t *r = ®[j];
|
||||
assert(r->p); // with MM_F_CIGAR, this should not be NULL
|
||||
printf("%s\t%d\t%d\t%d\t%c\t", ks->name.s, ks->seq.l, r->qs, r->qe, "+-"[r->rev]);
|
||||
printf("%s\t%d\t%d\t%d\t%d\t%d\t%d\tcg:Z:", mi->seq[r->rid].name, mi->seq[r->rid].len, r->rs, r->re, r->mlen, r->blen, r->mapq);
|
||||
for (i = 0; i < r->p->n_cigar; ++i) // IMPORTANT: this gives the CIGAR in the aligned regions. NO soft/hard clippings!
|
||||
printf("%d%c", r->p->cigar[i]>>4, MM_CIGAR_STR[r->p->cigar[i]&0xf]);
|
||||
putchar('\n');
|
||||
free(r->p);
|
||||
}
|
||||
free(reg);
|
||||
}
|
||||
free(reg);
|
||||
mm_tbuf_destroy(tbuf);
|
||||
mm_idx_destroy(mi);
|
||||
}
|
||||
mm_tbuf_destroy(tbuf);
|
||||
|
||||
// deallocate index and close the query file
|
||||
mm_idx_destroy(mi);
|
||||
kseq_destroy(ks);
|
||||
mm_idx_reader_close(r); // close the index reader
|
||||
kseq_destroy(ks); // close the query file
|
||||
gzclose(f);
|
||||
return 0;
|
||||
}
|
||||
|
||||
Submodule
+1
Submodule ext/TAL added at 2a97815a5f
@@ -43,6 +43,13 @@ static void mm_sprintf_lite(kstring_t *s, const char *fmt, ...)
|
||||
if (c < 0) buf[l++] = '-';
|
||||
str_enlarge(s, l);
|
||||
for (i = l - 1; i >= 0; --i) s->s[s->l++] = buf[i];
|
||||
} else if (*p == 'u') {
|
||||
int i, l = 0;
|
||||
uint32_t x;
|
||||
x = va_arg(ap, uint32_t);
|
||||
do { buf[l++] = x%10 + '0'; x /= 10; } while (x > 0);
|
||||
str_enlarge(s, l);
|
||||
for (i = l - 1; i >= 0; --i) s->s[s->l++] = buf[i];
|
||||
} else if (*p == 's') {
|
||||
char *r = va_arg(ap, char*);
|
||||
str_copy(s, r, r + strlen(r));
|
||||
@@ -72,11 +79,11 @@ static char *mm_escape(char *s)
|
||||
return s;
|
||||
}
|
||||
|
||||
static void sam_write_rg_line(kstring_t *str, const char *s)
|
||||
static int sam_write_rg_line(kstring_t *str, const char *s)
|
||||
{
|
||||
char *p, *q, *r, *rg_line = 0;
|
||||
memset(mm_rg_id, 0, 256);
|
||||
if (s == 0) return;
|
||||
if (s == 0) return 0;
|
||||
if (strstr(s, "@RG") != s) {
|
||||
if (mm_verbose >= 1) fprintf(stderr, "[ERROR] the read group line is not started with @RG\n");
|
||||
goto err_set_rg;
|
||||
@@ -85,7 +92,8 @@ static void sam_write_rg_line(kstring_t *str, const char *s)
|
||||
if (mm_verbose >= 1) fprintf(stderr, "[ERROR] the read group line contained literal <tab> characters -- replace with escaped tabs: \\t\n");
|
||||
goto err_set_rg;
|
||||
}
|
||||
rg_line = strdup(s);
|
||||
rg_line = (char*)malloc(strlen(s) + 1);
|
||||
strcpy(rg_line, s);
|
||||
mm_escape(rg_line);
|
||||
if ((p = strstr(rg_line, "\tID:")) == 0) {
|
||||
if (mm_verbose >= 1) fprintf(stderr, "[ERROR] no ID within the read group line\n");
|
||||
@@ -100,15 +108,23 @@ static void sam_write_rg_line(kstring_t *str, const char *s)
|
||||
for (q = p, r = mm_rg_id; *q && *q != '\t' && *q != '\n'; ++q)
|
||||
*r++ = *q;
|
||||
mm_sprintf_lite(str, "%s\n", rg_line);
|
||||
return 0;
|
||||
|
||||
err_set_rg:
|
||||
free(rg_line);
|
||||
return -1;
|
||||
}
|
||||
|
||||
void mm_write_sam_hdr_no_SQ(const char *rg, const char *ver, int argc, char *argv[])
|
||||
int mm_write_sam_hdr(const mm_idx_t *idx, const char *rg, const char *ver, int argc, char *argv[])
|
||||
{
|
||||
kstring_t str = {0,0,0};
|
||||
sam_write_rg_line(&str, rg);
|
||||
int ret = 0;
|
||||
if (idx) {
|
||||
uint32_t i;
|
||||
for (i = 0; i < idx->n_seq; ++i)
|
||||
mm_sprintf_lite(&str, "@SQ\tSN:%s\tLN:%d\n", idx->seq[i].name, idx->seq[i].len);
|
||||
}
|
||||
if (rg) ret = sam_write_rg_line(&str, rg);
|
||||
mm_sprintf_lite(&str, "@PG\tID:minimap2\tPN:minimap2");
|
||||
if (ver) mm_sprintf_lite(&str, "\tVN:%s", ver);
|
||||
if (argc > 1) {
|
||||
@@ -117,159 +133,361 @@ void mm_write_sam_hdr_no_SQ(const char *rg, const char *ver, int argc, char *arg
|
||||
for (i = 1; i < argc; ++i)
|
||||
mm_sprintf_lite(&str, " %s", argv[i]);
|
||||
}
|
||||
mm_sprintf_lite(&str, "\n");
|
||||
fputs(str.s, stdout);
|
||||
mm_err_puts(str.s);
|
||||
free(str.s);
|
||||
return ret;
|
||||
}
|
||||
|
||||
static void write_cs(void *km, kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r)
|
||||
static void write_cs_core(kstring_t *s, const uint8_t *tseq, const uint8_t *qseq, const mm_reg1_t *r, char *tmp, int no_iden, int write_tag)
|
||||
{
|
||||
extern unsigned char seq_nt4_table[256];
|
||||
int i, q_off, t_off;
|
||||
uint8_t *qseq, *tseq;
|
||||
char *tmp;
|
||||
if (r->p == 0) return;
|
||||
mm_sprintf_lite(s, "\tcs:Z:");
|
||||
qseq = (uint8_t*)kmalloc(km, r->qe - r->qs);
|
||||
tseq = (uint8_t*)kmalloc(km, r->re - r->rs);
|
||||
tmp = (char*)kmalloc(km, r->re - r->rs > r->qe - r->qs? r->re - r->rs + 1 : r->qe - r->qs + 1);
|
||||
mm_idx_getseq(mi, r->rid, r->rs, r->re, tseq);
|
||||
if (!r->rev) {
|
||||
for (i = r->qs; i < r->qe; ++i)
|
||||
qseq[i - r->qs] = seq_nt4_table[(uint8_t)t->seq[i]];
|
||||
} else {
|
||||
for (i = r->qs; i < r->qe; ++i) {
|
||||
uint8_t c = seq_nt4_table[(uint8_t)t->seq[i]];
|
||||
qseq[r->qe - i - 1] = c >= 4? 4 : 3 - c;
|
||||
}
|
||||
}
|
||||
for (i = q_off = t_off = 0; i < r->p->n_cigar; ++i) {
|
||||
if (write_tag) mm_sprintf_lite(s, "\tcs:Z:");
|
||||
for (i = q_off = t_off = 0; i < (int)r->p->n_cigar; ++i) {
|
||||
int j, op = r->p->cigar[i]&0xf, len = r->p->cigar[i]>>4;
|
||||
assert(op >= 0 && op <= 2);
|
||||
if (op == 0) {
|
||||
assert((op >= MM_CIGAR_MATCH && op <= MM_CIGAR_N_SKIP) || op == MM_CIGAR_EQ_MATCH || op == MM_CIGAR_X_MISMATCH);
|
||||
if (op == MM_CIGAR_MATCH || op == MM_CIGAR_EQ_MATCH || op == MM_CIGAR_X_MISMATCH) {
|
||||
int l_tmp = 0;
|
||||
for (j = 0; j < len; ++j) {
|
||||
if (qseq[q_off + j] != tseq[t_off + j]) {
|
||||
if (l_tmp > 0) {
|
||||
tmp[l_tmp] = 0;
|
||||
mm_sprintf_lite(s, "=%s", tmp);
|
||||
if (!no_iden) {
|
||||
tmp[l_tmp] = 0;
|
||||
mm_sprintf_lite(s, "=%s", tmp);
|
||||
} else mm_sprintf_lite(s, ":%d", l_tmp);
|
||||
l_tmp = 0;
|
||||
}
|
||||
mm_sprintf_lite(s, "*%c%c", "acgtn"[tseq[t_off + j]], "acgtn"[qseq[q_off + j]]);
|
||||
} else tmp[l_tmp++] = "ACGTN"[qseq[q_off + j]];
|
||||
}
|
||||
if (l_tmp > 0) {
|
||||
tmp[l_tmp] = 0;
|
||||
mm_sprintf_lite(s, "=%s", tmp);
|
||||
if (!no_iden) {
|
||||
tmp[l_tmp] = 0;
|
||||
mm_sprintf_lite(s, "=%s", tmp);
|
||||
} else mm_sprintf_lite(s, ":%d", l_tmp);
|
||||
}
|
||||
q_off += len, t_off += len;
|
||||
} else if (op == 1) {
|
||||
} else if (op == MM_CIGAR_INS) {
|
||||
for (j = 0, tmp[len] = 0; j < len; ++j)
|
||||
tmp[j] = "acgtn"[qseq[q_off + j]];
|
||||
mm_sprintf_lite(s, "+%s", tmp);
|
||||
q_off += len;
|
||||
} else if (op == 2) {
|
||||
} else if (op == MM_CIGAR_DEL) {
|
||||
for (j = 0, tmp[len] = 0; j < len; ++j)
|
||||
tmp[j] = "acgtn"[tseq[t_off + j]];
|
||||
mm_sprintf_lite(s, "-%s", tmp);
|
||||
t_off += len;
|
||||
} else { // intron
|
||||
assert(len >= 2);
|
||||
mm_sprintf_lite(s, "~%c%c%d%c%c", "acgtn"[tseq[t_off]], "acgtn"[tseq[t_off+1]],
|
||||
len, "acgtn"[tseq[t_off+len-2]], "acgtn"[tseq[t_off+len-1]]);
|
||||
t_off += len;
|
||||
}
|
||||
}
|
||||
assert(t_off == r->re - r->rs && q_off == r->qe - r->qs);
|
||||
}
|
||||
|
||||
static void write_MD_core(kstring_t *s, const uint8_t *tseq, const uint8_t *qseq, const mm_reg1_t *r, char *tmp, int write_tag)
|
||||
{
|
||||
int i, q_off, t_off, l_MD = 0;
|
||||
if (write_tag) mm_sprintf_lite(s, "\tMD:Z:");
|
||||
for (i = q_off = t_off = 0; i < (int)r->p->n_cigar; ++i) {
|
||||
int j, op = r->p->cigar[i]&0xf, len = r->p->cigar[i]>>4;
|
||||
assert((op >= MM_CIGAR_MATCH && op <= MM_CIGAR_N_SKIP) || op == MM_CIGAR_EQ_MATCH || op == MM_CIGAR_X_MISMATCH);
|
||||
if (op == MM_CIGAR_MATCH || op == MM_CIGAR_EQ_MATCH || op == MM_CIGAR_X_MISMATCH) {
|
||||
for (j = 0; j < len; ++j) {
|
||||
if (qseq[q_off + j] != tseq[t_off + j]) {
|
||||
mm_sprintf_lite(s, "%d%c", l_MD, "ACGTN"[tseq[t_off + j]]);
|
||||
l_MD = 0;
|
||||
} else ++l_MD;
|
||||
}
|
||||
q_off += len, t_off += len;
|
||||
} else if (op == MM_CIGAR_INS) {
|
||||
q_off += len;
|
||||
} else if (op == MM_CIGAR_DEL) {
|
||||
for (j = 0, tmp[len] = 0; j < len; ++j)
|
||||
tmp[j] = "ACGTN"[tseq[t_off + j]];
|
||||
mm_sprintf_lite(s, "%d^%s", l_MD, tmp);
|
||||
l_MD = 0;
|
||||
t_off += len;
|
||||
} else if (op == MM_CIGAR_N_SKIP) {
|
||||
t_off += len;
|
||||
}
|
||||
}
|
||||
if (l_MD > 0) mm_sprintf_lite(s, "%d", l_MD);
|
||||
assert(t_off == r->re - r->rs && q_off == r->qe - r->qs);
|
||||
}
|
||||
|
||||
static void write_cs_or_MD(void *km, kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r, int no_iden, int is_MD, int write_tag, int is_qstrand)
|
||||
{
|
||||
extern unsigned char seq_nt4_table[256];
|
||||
int i;
|
||||
uint8_t *qseq, *tseq;
|
||||
char *tmp;
|
||||
if (r->p == 0) return;
|
||||
qseq = (uint8_t*)kmalloc(km, r->qe - r->qs);
|
||||
tseq = (uint8_t*)kmalloc(km, r->re - r->rs);
|
||||
tmp = (char*)kmalloc(km, r->re - r->rs > r->qe - r->qs? r->re - r->rs + 1 : r->qe - r->qs + 1);
|
||||
if (is_qstrand) {
|
||||
mm_idx_getseq2(mi, r->rev, r->rid, r->rs, r->re, tseq);
|
||||
for (i = r->qs; i < r->qe; ++i)
|
||||
qseq[i - r->qs] = seq_nt4_table[(uint8_t)t->seq[i]];
|
||||
} else {
|
||||
mm_idx_getseq(mi, r->rid, r->rs, r->re, tseq);
|
||||
if (!r->rev) {
|
||||
for (i = r->qs; i < r->qe; ++i)
|
||||
qseq[i - r->qs] = seq_nt4_table[(uint8_t)t->seq[i]];
|
||||
} else {
|
||||
for (i = r->qs; i < r->qe; ++i) {
|
||||
uint8_t c = seq_nt4_table[(uint8_t)t->seq[i]];
|
||||
qseq[r->qe - i - 1] = c >= 4? 4 : 3 - c;
|
||||
}
|
||||
}
|
||||
}
|
||||
if (is_MD) write_MD_core(s, tseq, qseq, r, tmp, write_tag);
|
||||
else write_cs_core(s, tseq, qseq, r, tmp, no_iden, write_tag);
|
||||
kfree(km, qseq); kfree(km, tseq); kfree(km, tmp);
|
||||
}
|
||||
|
||||
int mm_gen_cs_or_MD(void *km, char **buf, int *max_len, const mm_idx_t *mi, const mm_reg1_t *r, const char *seq, int is_MD, int no_iden, int is_qstrand)
|
||||
{
|
||||
mm_bseq1_t t;
|
||||
kstring_t str;
|
||||
str.s = *buf, str.l = 0, str.m = *max_len;
|
||||
t.l_seq = strlen(seq);
|
||||
t.seq = (char*)seq;
|
||||
write_cs_or_MD(km, &str, mi, &t, r, no_iden, is_MD, 0, is_qstrand);
|
||||
*max_len = str.m;
|
||||
*buf = str.s;
|
||||
return str.l;
|
||||
}
|
||||
|
||||
int mm_gen_cs(void *km, char **buf, int *max_len, const mm_idx_t *mi, const mm_reg1_t *r, const char *seq, int no_iden)
|
||||
{
|
||||
return mm_gen_cs_or_MD(km, buf, max_len, mi, r, seq, 0, no_iden, 0);
|
||||
}
|
||||
|
||||
int mm_gen_MD(void *km, char **buf, int *max_len, const mm_idx_t *mi, const mm_reg1_t *r, const char *seq)
|
||||
{
|
||||
return mm_gen_cs_or_MD(km, buf, max_len, mi, r, seq, 1, 0, 0);
|
||||
}
|
||||
|
||||
static inline void write_tags(kstring_t *s, const mm_reg1_t *r)
|
||||
{
|
||||
int type = r->inv? 'I' : r->id == r->parent? 'P' : 'S';
|
||||
mm_sprintf_lite(s, "\ttp:A:%c\tcm:i:%d\ts1:i:%d", type, r->cnt, r->score);
|
||||
if (r->parent == r->id) mm_sprintf_lite(s, "\ts2:i:%d", r->subsc);
|
||||
if (r->split) mm_sprintf_lite(s, "\tzd:i:%d", r->split);
|
||||
int type;
|
||||
if (r->id == r->parent) type = r->inv? 'I' : 'P';
|
||||
else type = r->inv? 'i' : 'S';
|
||||
if (r->p) {
|
||||
mm_sprintf_lite(s, "\tNM:i:%d\tms:i:%d\tAS:i:%d\tnn:i:%d", r->p->n_diff, r->p->dp_max, r->p->dp_score, r->p->n_ambi);
|
||||
mm_sprintf_lite(s, "\tNM:i:%d\tms:i:%d\tAS:i:%d\tnn:i:%d", r->blen - r->mlen + r->p->n_ambi, r->p->dp_max, r->p->dp_score, r->p->n_ambi);
|
||||
if (r->p->trans_strand == 1 || r->p->trans_strand == 2)
|
||||
mm_sprintf_lite(s, "\tts:A:%c", "?+-?"[r->p->trans_strand]);
|
||||
}
|
||||
mm_sprintf_lite(s, "\ttp:A:%c\tcm:i:%d\ts1:i:%d", type, r->cnt, r->score);
|
||||
if (r->parent == r->id) mm_sprintf_lite(s, "\ts2:i:%d", r->subsc);
|
||||
if (r->p) {
|
||||
char buf[16];
|
||||
double div;
|
||||
div = 1.0 - mm_event_identity(r);
|
||||
if (div == 0.0) buf[0] = '0', buf[1] = 0;
|
||||
else snprintf(buf, 16, "%.4f", 1.0 - mm_event_identity(r));
|
||||
mm_sprintf_lite(s, "\tde:f:%s", buf);
|
||||
} else if (r->div >= 0.0f && r->div <= 1.0f) {
|
||||
char buf[16];
|
||||
if (r->div == 0.0f) buf[0] = '0', buf[1] = 0;
|
||||
else snprintf(buf, 16, "%.4f", r->div);
|
||||
mm_sprintf_lite(s, "\tdv:f:%s", buf);
|
||||
}
|
||||
if (r->split) mm_sprintf_lite(s, "\tzd:i:%d", r->split);
|
||||
}
|
||||
|
||||
void mm_write_paf(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r, void *km, int opt_flag)
|
||||
void mm_write_paf3(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r, void *km, int64_t opt_flag, int rep_len)
|
||||
{
|
||||
s->l = 0;
|
||||
if (r == 0) {
|
||||
mm_sprintf_lite(s, "%s\t%d\t0\t0\t*\t*\t0\t0\t0\t0\t0\t0", t->name, t->l_seq);
|
||||
if (rep_len >= 0) mm_sprintf_lite(s, "\trl:i:%d", rep_len);
|
||||
return;
|
||||
}
|
||||
mm_sprintf_lite(s, "%s\t%d\t%d\t%d\t%c\t", t->name, t->l_seq, r->qs, r->qe, "+-"[r->rev]);
|
||||
if (mi->seq[r->rid].name) mm_sprintf_lite(s, "%s", mi->seq[r->rid].name);
|
||||
else mm_sprintf_lite(s, "%d", r->rid);
|
||||
mm_sprintf_lite(s, "\t%d\t%d\t%d", mi->seq[r->rid].len, r->rs, r->re);
|
||||
if (r->p) mm_sprintf_lite(s, "\t%d\t%d", r->p->blen - r->p->n_ambi - r->p->n_diff, r->p->blen);
|
||||
else mm_sprintf_lite(s, "\t%d\t%d", r->fuzzy_mlen, r->fuzzy_blen);
|
||||
mm_sprintf_lite(s, "\t%d", mi->seq[r->rid].len);
|
||||
if ((opt_flag & MM_F_QSTRAND) && r->rev)
|
||||
mm_sprintf_lite(s, "\t%d\t%d", mi->seq[r->rid].len - r->re, mi->seq[r->rid].len - r->rs);
|
||||
else
|
||||
mm_sprintf_lite(s, "\t%d\t%d", r->rs, r->re);
|
||||
mm_sprintf_lite(s, "\t%d\t%d", r->mlen, r->blen);
|
||||
mm_sprintf_lite(s, "\t%d", r->mapq);
|
||||
write_tags(s, r);
|
||||
if (rep_len >= 0) mm_sprintf_lite(s, "\trl:i:%d", rep_len);
|
||||
if (r->p && (opt_flag & MM_F_OUT_CG)) {
|
||||
uint32_t k;
|
||||
mm_sprintf_lite(s, "\tcg:Z:");
|
||||
for (k = 0; k < r->p->n_cigar; ++k)
|
||||
mm_sprintf_lite(s, "%d%c", r->p->cigar[k]>>4, "MIDN"[r->p->cigar[k]&0xf]);
|
||||
mm_sprintf_lite(s, "%d%c", r->p->cigar[k]>>4, MM_CIGAR_STR[r->p->cigar[k]&0xf]);
|
||||
}
|
||||
if (r->p && (opt_flag & MM_F_OUT_CS))
|
||||
write_cs(km, s, mi, t, r);
|
||||
if (r->p && (opt_flag & (MM_F_OUT_CS|MM_F_OUT_MD)))
|
||||
write_cs_or_MD(km, s, mi, t, r, !(opt_flag&MM_F_OUT_CS_LONG), opt_flag&MM_F_OUT_MD, 1, !!(opt_flag&MM_F_QSTRAND));
|
||||
if ((opt_flag & MM_F_COPY_COMMENT) && t->comment)
|
||||
mm_sprintf_lite(s, "\t%s", t->comment);
|
||||
}
|
||||
|
||||
static char comp_tab[] = {
|
||||
0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15,
|
||||
16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31,
|
||||
32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47,
|
||||
48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63,
|
||||
64, 'T', 'V', 'G', 'H', 'E', 'F', 'C', 'D', 'I', 'J', 'M', 'L', 'K', 'N', 'O',
|
||||
'P', 'Q', 'Y', 'S', 'A', 'A', 'B', 'W', 'X', 'R', 'Z', 91, 92, 93, 94, 95,
|
||||
64, 't', 'v', 'g', 'h', 'e', 'f', 'c', 'd', 'i', 'j', 'm', 'l', 'k', 'n', 'o',
|
||||
'p', 'q', 'y', 's', 'a', 'a', 'b', 'w', 'x', 'r', 'z', 123, 124, 125, 126, 127
|
||||
};
|
||||
|
||||
void mm_write_sam_SQ(const mm_idx_t *idx)
|
||||
void mm_write_paf(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r, void *km, int64_t opt_flag)
|
||||
{
|
||||
uint32_t i;
|
||||
for (i = 0; i < idx->n_seq; ++i)
|
||||
printf("@SQ\tSN:%s\tLN:%d\n", idx->seq[i].name, idx->seq[i].len);
|
||||
mm_write_paf3(s, mi, t, r, km, opt_flag, -1);
|
||||
}
|
||||
|
||||
static void sam_write_sq(kstring_t *s, char *seq, int l, int rev, int comp)
|
||||
{
|
||||
extern unsigned char seq_comp_table[256];
|
||||
if (rev) {
|
||||
int i;
|
||||
str_enlarge(s, l);
|
||||
for (i = 0; i < l; ++i) {
|
||||
int c = seq[l - 1 - i];
|
||||
s->s[s->l + i] = c < 128 && comp? comp_tab[c] : c;
|
||||
s->s[s->l + i] = c < 128 && comp? seq_comp_table[c] : c;
|
||||
}
|
||||
s->l += l;
|
||||
} else str_copy(s, seq, seq + l);
|
||||
}
|
||||
|
||||
void mm_write_sam(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r, int n_regs, const mm_reg1_t *regs)
|
||||
static inline const mm_reg1_t *get_sam_pri(int n_regs, const mm_reg1_t *regs)
|
||||
{
|
||||
int flag = 0;
|
||||
int i;
|
||||
for (i = 0; i < n_regs; ++i)
|
||||
if (regs[i].sam_pri)
|
||||
return ®s[i];
|
||||
assert(n_regs == 0);
|
||||
return NULL;
|
||||
}
|
||||
|
||||
static void write_sam_cigar(kstring_t *s, int sam_flag, int in_tag, int qlen, const mm_reg1_t *r, int64_t opt_flag)
|
||||
{
|
||||
if (r->p == 0) {
|
||||
mm_sprintf_lite(s, "*");
|
||||
} else {
|
||||
uint32_t k, clip_len[2];
|
||||
clip_len[0] = r->rev? qlen - r->qe : r->qs;
|
||||
clip_len[1] = r->rev? r->qs : qlen - r->qe;
|
||||
if (in_tag) {
|
||||
int clip_char = (sam_flag&0x800) && !(opt_flag&MM_F_SOFTCLIP)? 5 : 4;
|
||||
mm_sprintf_lite(s, "\tCG:B:I");
|
||||
if (clip_len[0]) mm_sprintf_lite(s, ",%u", clip_len[0]<<4|clip_char);
|
||||
for (k = 0; k < r->p->n_cigar; ++k)
|
||||
mm_sprintf_lite(s, ",%u", r->p->cigar[k]);
|
||||
if (clip_len[1]) mm_sprintf_lite(s, ",%u", clip_len[1]<<4|clip_char);
|
||||
} else {
|
||||
int clip_char = (sam_flag&0x800) && !(opt_flag&MM_F_SOFTCLIP)? 'H' : 'S';
|
||||
assert(clip_len[0] < qlen && clip_len[1] < qlen);
|
||||
if (clip_len[0]) mm_sprintf_lite(s, "%d%c", clip_len[0], clip_char);
|
||||
for (k = 0; k < r->p->n_cigar; ++k)
|
||||
mm_sprintf_lite(s, "%d%c", r->p->cigar[k]>>4, MM_CIGAR_STR[r->p->cigar[k]&0xf]);
|
||||
if (clip_len[1]) mm_sprintf_lite(s, "%d%c", clip_len[1], clip_char);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
void mm_write_sam3(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, int seg_idx, int reg_idx, int n_seg, const int *n_regss, const mm_reg1_t *const* regss, void *km, int64_t opt_flag, int rep_len)
|
||||
{
|
||||
const int max_bam_cigar_op = 65535;
|
||||
int flag, n_regs = n_regss[seg_idx], cigar_in_tag = 0;
|
||||
int this_rid = -1, this_pos = -1;
|
||||
const mm_reg1_t *regs = regss[seg_idx], *r_prev = NULL, *r_next;
|
||||
const mm_reg1_t *r = n_regs > 0 && reg_idx < n_regs && reg_idx >= 0? ®s[reg_idx] : NULL;
|
||||
|
||||
// find the primary of the previous and the next segments, if they are mapped
|
||||
if (n_seg > 1) {
|
||||
int i, next_sid = (seg_idx + 1) % n_seg;
|
||||
r_next = get_sam_pri(n_regss[next_sid], regss[next_sid]);
|
||||
if (n_seg > 2) {
|
||||
for (i = 1; i <= n_seg - 1; ++i) {
|
||||
int prev_sid = (seg_idx + n_seg - i) % n_seg;
|
||||
if (n_regss[prev_sid] > 0) {
|
||||
r_prev = get_sam_pri(n_regss[prev_sid], regss[prev_sid]);
|
||||
break;
|
||||
}
|
||||
}
|
||||
} else r_prev = r_next;
|
||||
} else r_prev = r_next = NULL;
|
||||
|
||||
// write QNAME
|
||||
s->l = 0;
|
||||
mm_sprintf_lite(s, "%s", t->name);
|
||||
if (n_seg > 1) s->l = mm_qname_len(t->name); // trim the suffix like /1 or /2
|
||||
|
||||
// write flag
|
||||
flag = n_seg > 1? 0x1 : 0x0;
|
||||
if (r == 0) {
|
||||
flag |= 0x4;
|
||||
} else {
|
||||
if (r->rev) flag |= 0x10;
|
||||
if (r->parent != r->id) flag |= 0x100;
|
||||
else if (!r->sam_pri) flag |= 0x800;
|
||||
}
|
||||
if (n_seg > 1) {
|
||||
if (r && r->proper_frag) flag |= 0x2; // TODO: this doesn't work when there are more than 2 segments
|
||||
if (seg_idx == 0) flag |= 0x40;
|
||||
else if (seg_idx == n_seg - 1) flag |= 0x80;
|
||||
if (r_next == NULL) flag |= 0x8;
|
||||
else if (r_next->rev) flag |= 0x20;
|
||||
}
|
||||
mm_sprintf_lite(s, "\t%d", flag);
|
||||
|
||||
// write coordinate, MAPQ and CIGAR
|
||||
if (r == 0) {
|
||||
if (r_prev) {
|
||||
this_rid = r_prev->rid, this_pos = r_prev->rs;
|
||||
mm_sprintf_lite(s, "\t%s\t%d\t0\t*", mi->seq[this_rid].name, this_pos+1);
|
||||
} else mm_sprintf_lite(s, "\t*\t0\t0\t*");
|
||||
} else {
|
||||
this_rid = r->rid, this_pos = r->rs;
|
||||
mm_sprintf_lite(s, "\t%s\t%d\t%d\t", mi->seq[r->rid].name, r->rs+1, r->mapq);
|
||||
if ((opt_flag & MM_F_LONG_CIGAR) && r->p && r->p->n_cigar > max_bam_cigar_op - 2) {
|
||||
int n_cigar = r->p->n_cigar;
|
||||
if (r->qs != 0) ++n_cigar;
|
||||
if (r->qe != t->l_seq) ++n_cigar;
|
||||
if (n_cigar > max_bam_cigar_op)
|
||||
cigar_in_tag = 1;
|
||||
}
|
||||
if (cigar_in_tag) {
|
||||
int slen;
|
||||
if ((flag & 0x900) == 0 || (opt_flag & MM_F_SOFTCLIP)) slen = t->l_seq;
|
||||
else if (flag & 0x100) slen = 0;
|
||||
else slen = r->qe - r->qs;
|
||||
mm_sprintf_lite(s, "%dS%dN", slen, r->re - r->rs);
|
||||
} else write_sam_cigar(s, flag, 0, t->l_seq, r, opt_flag);
|
||||
}
|
||||
|
||||
// write mate positions
|
||||
if (n_seg > 1) {
|
||||
int tlen = 0;
|
||||
if (this_rid >= 0 && r_next) {
|
||||
if (this_rid == r_next->rid) {
|
||||
if (r) {
|
||||
int this_pos5 = r->rev? r->re - 1 : this_pos;
|
||||
int next_pos5 = r_next->rev? r_next->re - 1 : r_next->rs;
|
||||
tlen = next_pos5 - this_pos5;
|
||||
}
|
||||
mm_sprintf_lite(s, "\t=\t");
|
||||
} else mm_sprintf_lite(s, "\t%s\t", mi->seq[r_next->rid].name);
|
||||
mm_sprintf_lite(s, "%d\t", r_next->rs + 1);
|
||||
} else if (r_next) { // && this_rid < 0
|
||||
mm_sprintf_lite(s, "\t%s\t%d\t", mi->seq[r_next->rid].name, r_next->rs + 1);
|
||||
} else if (this_rid >= 0) { // && r_next == NULL
|
||||
mm_sprintf_lite(s, "\t=\t%d\t", this_pos + 1); // next segment will take r's coordinate
|
||||
} else mm_sprintf_lite(s, "\t*\t0\t"); // neither has coordinates
|
||||
if (tlen > 0) ++tlen;
|
||||
else if (tlen < 0) --tlen;
|
||||
mm_sprintf_lite(s, "%d\t", tlen);
|
||||
} else mm_sprintf_lite(s, "\t*\t0\t0\t");
|
||||
|
||||
// write SEQ and QUAL
|
||||
if (r == 0) {
|
||||
mm_sprintf_lite(s, "%s\t4\t*\t0\t0\t*\t*\t0\t0\t", t->name);
|
||||
sam_write_sq(s, t->seq, t->l_seq, 0, 0);
|
||||
mm_sprintf_lite(s, "\t");
|
||||
if (t->qual) sam_write_sq(s, t->qual, t->l_seq, 0, 0);
|
||||
else mm_sprintf_lite(s, "*");
|
||||
} else {
|
||||
if (r->rev) flag |= 0x10;
|
||||
if (r->parent != r->id) flag |= 0x100;
|
||||
else if (!r->sam_pri) flag |= 0x800;
|
||||
mm_sprintf_lite(s, "%s\t%d\t%s\t%d\t%d\t", t->name, flag, mi->seq[r->rid].name, r->rs+1, r->mapq);
|
||||
if (r->p) { // actually this should always be true for SAM output
|
||||
uint32_t k, clip_len = r->rev? t->l_seq - r->qe : r->qs;
|
||||
int clip_char = (flag&0x800)? 'H' : 'S';
|
||||
if (clip_len) mm_sprintf_lite(s, "%d%c", clip_len, clip_char);
|
||||
for (k = 0; k < r->p->n_cigar; ++k)
|
||||
mm_sprintf_lite(s, "%d%c", r->p->cigar[k]>>4, "MIDN"[r->p->cigar[k]&0xf]);
|
||||
clip_len = r->rev? r->qs : t->l_seq - r->qe;
|
||||
if (clip_len) mm_sprintf_lite(s, "%d%c", clip_len, clip_char);
|
||||
} else mm_sprintf_lite(s, "*");
|
||||
mm_sprintf_lite(s, "\t*\t0\t0\t");
|
||||
if ((flag & 0x900) == 0) {
|
||||
if ((flag & 0x900) == 0 || (opt_flag & MM_F_SOFTCLIP)) {
|
||||
sam_write_sq(s, t->seq, t->l_seq, r->rev, r->rev);
|
||||
mm_sprintf_lite(s, "\t");
|
||||
if (t->qual) sam_write_sq(s, t->qual, t->l_seq, r->rev, 0);
|
||||
@@ -282,8 +500,13 @@ void mm_write_sam(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const m
|
||||
if (t->qual) sam_write_sq(s, t->qual + r->qs, r->qe - r->qs, r->rev, 0);
|
||||
else mm_sprintf_lite(s, "*");
|
||||
}
|
||||
}
|
||||
|
||||
// write tags
|
||||
if (mm_rg_id[0]) mm_sprintf_lite(s, "\tRG:Z:%s", mm_rg_id);
|
||||
if (n_seg > 2) mm_sprintf_lite(s, "\tFI:i:%d", seg_idx);
|
||||
if (r) {
|
||||
write_tags(s, r);
|
||||
if (mm_rg_id[0]) mm_sprintf_lite(s, "\tRG:Z:%s", mm_rg_id);
|
||||
if (r->parent == r->id && r->p && n_regs > 1 && regs && r >= regs && r - regs < n_regs) { // supplementary aln may exist
|
||||
int i, n_sa = 0; // n_sa: number of SA fields
|
||||
for (i = 0; i < n_regs; ++i)
|
||||
@@ -305,10 +528,32 @@ void mm_write_sam(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const m
|
||||
if (l_I) mm_sprintf_lite(s, "%dI", l_I);
|
||||
if (l_D) mm_sprintf_lite(s, "%dD", l_D);
|
||||
if (clip3) mm_sprintf_lite(s, "%dS", clip3);
|
||||
mm_sprintf_lite(s, ",%d,%d;", q->mapq, q->p->n_diff);
|
||||
mm_sprintf_lite(s, ",%d,%d;", q->mapq, q->blen - q->mlen + q->p->n_ambi);
|
||||
}
|
||||
}
|
||||
}
|
||||
if (r->p && (opt_flag & (MM_F_OUT_CS|MM_F_OUT_MD)))
|
||||
write_cs_or_MD(km, s, mi, t, r, !(opt_flag&MM_F_OUT_CS_LONG), opt_flag&MM_F_OUT_MD, 1, 0);
|
||||
if (cigar_in_tag)
|
||||
write_sam_cigar(s, flag, 1, t->l_seq, r, opt_flag);
|
||||
}
|
||||
if (rep_len >= 0) mm_sprintf_lite(s, "\trl:i:%d", rep_len);
|
||||
|
||||
if ((opt_flag & MM_F_COPY_COMMENT) && t->comment)
|
||||
mm_sprintf_lite(s, "\t%s", t->comment);
|
||||
|
||||
s->s[s->l] = 0; // we always have room for an extra byte (see str_enlarge)
|
||||
}
|
||||
|
||||
void mm_write_sam2(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, int seg_idx, int reg_idx, int n_seg, const int *n_regss, const mm_reg1_t *const* regss, void *km, int64_t opt_flag)
|
||||
{
|
||||
mm_write_sam3(s, mi, t, seg_idx, reg_idx, n_seg, n_regss, regss, km, opt_flag, -1);
|
||||
}
|
||||
|
||||
void mm_write_sam(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r, int n_regs, const mm_reg1_t *regs)
|
||||
{
|
||||
int i;
|
||||
for (i = 0; i < n_regs; ++i)
|
||||
if (r == ®s[i]) break;
|
||||
mm_write_sam2(s, mi, t, 0, i, 1, &n_regs, ®s, NULL, 0);
|
||||
}
|
||||
|
||||
@@ -1,216 +0,0 @@
|
||||
#include <stddef.h>
|
||||
#include <stdio.h>
|
||||
#include <string.h>
|
||||
#include "getopt.h"
|
||||
|
||||
char *optarg;
|
||||
int optind=1, opterr=1, optopt, __optpos, optreset=0;
|
||||
|
||||
#define optpos __optpos
|
||||
|
||||
static void __getopt_msg(const char *a, const char *b, const char *c, size_t l)
|
||||
{
|
||||
FILE *f = stderr;
|
||||
#if !defined(WIN32) && !defined(_WIN32)
|
||||
flockfile(f);
|
||||
#endif
|
||||
fputs(a, f);
|
||||
fwrite(b, strlen(b), 1, f);
|
||||
fwrite(c, 1, l, f);
|
||||
fputc('\n', f);
|
||||
#if !defined(WIN32) && !defined(_WIN32)
|
||||
funlockfile(f);
|
||||
#endif
|
||||
}
|
||||
|
||||
int getopt(int argc, char * const argv[], const char *optstring)
|
||||
{
|
||||
int i, c, d;
|
||||
int k, l;
|
||||
char *optchar;
|
||||
|
||||
if (!optind || optreset) {
|
||||
optreset = 0;
|
||||
__optpos = 0;
|
||||
optind = 1;
|
||||
}
|
||||
|
||||
if (optind >= argc || !argv[optind])
|
||||
return -1;
|
||||
|
||||
if (argv[optind][0] != '-') {
|
||||
if (optstring[0] == '-') {
|
||||
optarg = argv[optind++];
|
||||
return 1;
|
||||
}
|
||||
return -1;
|
||||
}
|
||||
|
||||
if (!argv[optind][1])
|
||||
return -1;
|
||||
|
||||
if (argv[optind][1] == '-' && !argv[optind][2])
|
||||
return optind++, -1;
|
||||
|
||||
if (!optpos) optpos++;
|
||||
c = argv[optind][optpos], k = 1;
|
||||
optchar = argv[optind]+optpos;
|
||||
optopt = c;
|
||||
optpos += k;
|
||||
|
||||
if (!argv[optind][optpos]) {
|
||||
optind++;
|
||||
optpos = 0;
|
||||
}
|
||||
|
||||
if (optstring[0] == '-' || optstring[0] == '+')
|
||||
optstring++;
|
||||
|
||||
i = 0;
|
||||
d = 0;
|
||||
do {
|
||||
d = optstring[i], l = 1;
|
||||
if (l>0) i+=l; else i++;
|
||||
} while (l && d != c);
|
||||
|
||||
if (d != c) {
|
||||
if (optstring[0] != ':' && opterr)
|
||||
__getopt_msg(argv[0], ": unrecognized option: ", optchar, k);
|
||||
return '?';
|
||||
}
|
||||
if (optstring[i] == ':') {
|
||||
if (optstring[i+1] == ':') optarg = 0;
|
||||
else if (optind >= argc) {
|
||||
if (optstring[0] == ':') return ':';
|
||||
if (opterr) __getopt_msg(argv[0],
|
||||
": option requires an argument: ",
|
||||
optchar, k);
|
||||
return '?';
|
||||
}
|
||||
if (optstring[i+1] != ':' || optpos) {
|
||||
optarg = argv[optind++] + optpos;
|
||||
optpos = 0;
|
||||
}
|
||||
}
|
||||
return c;
|
||||
}
|
||||
|
||||
static void permute(char *const *argv, int dest, int src)
|
||||
{
|
||||
char **av = (char **)argv;
|
||||
char *tmp = av[src];
|
||||
int i;
|
||||
for (i=src; i>dest; i--)
|
||||
av[i] = av[i-1];
|
||||
av[dest] = tmp;
|
||||
}
|
||||
|
||||
static int __getopt_long_core(int argc, char *const *argv, const char *optstring, const struct option *longopts, int *idx, int longonly)
|
||||
{
|
||||
optarg = 0;
|
||||
if (longopts && argv[optind][0] == '-' &&
|
||||
((longonly && argv[optind][1] && argv[optind][1] != '-') ||
|
||||
(argv[optind][1] == '-' && argv[optind][2])))
|
||||
{
|
||||
int colon = optstring[optstring[0]=='+'||optstring[0]=='-']==':';
|
||||
int i, cnt, match;
|
||||
char *opt;
|
||||
for (cnt=i=0; longopts[i].name; i++) {
|
||||
const char *name = longopts[i].name;
|
||||
opt = argv[optind]+1;
|
||||
if (*opt == '-') opt++;
|
||||
for (; *name && *name == *opt; name++, opt++);
|
||||
if (*opt && *opt != '=') continue;
|
||||
match = i;
|
||||
if (!*name) {
|
||||
cnt = 1;
|
||||
break;
|
||||
}
|
||||
cnt++;
|
||||
}
|
||||
if (cnt==1) {
|
||||
i = match;
|
||||
optind++;
|
||||
optopt = longopts[i].val;
|
||||
if (*opt == '=') {
|
||||
if (!longopts[i].has_arg) {
|
||||
if (colon || !opterr)
|
||||
return '?';
|
||||
__getopt_msg(argv[0],
|
||||
": option does not take an argument: ",
|
||||
longopts[i].name,
|
||||
strlen(longopts[i].name));
|
||||
return '?';
|
||||
}
|
||||
optarg = opt+1;
|
||||
} else if (longopts[i].has_arg == required_argument) {
|
||||
if (!(optarg = argv[optind])) {
|
||||
if (colon) return ':';
|
||||
if (!opterr) return '?';
|
||||
__getopt_msg(argv[0],
|
||||
": option requires an argument: ",
|
||||
longopts[i].name,
|
||||
strlen(longopts[i].name));
|
||||
return '?';
|
||||
}
|
||||
optind++;
|
||||
}
|
||||
if (idx) *idx = i;
|
||||
if (longopts[i].flag) {
|
||||
*longopts[i].flag = longopts[i].val;
|
||||
return 0;
|
||||
}
|
||||
return longopts[i].val;
|
||||
}
|
||||
if (argv[optind][1] == '-') {
|
||||
if (!colon && opterr)
|
||||
__getopt_msg(argv[0], cnt ?
|
||||
": option is ambiguous: " :
|
||||
": unrecognized option: ",
|
||||
argv[optind]+2,
|
||||
strlen(argv[optind]+2));
|
||||
optind++;
|
||||
return '?';
|
||||
}
|
||||
}
|
||||
return getopt(argc, argv, optstring);
|
||||
}
|
||||
|
||||
static int __getopt_long(int argc, char *const *argv, const char *optstring, const struct option *longopts, int *idx, int longonly)
|
||||
{
|
||||
int ret, skipped, resumed;
|
||||
if (!optind || optreset) {
|
||||
optreset = 0;
|
||||
__optpos = 0;
|
||||
optind = 1;
|
||||
}
|
||||
if (optind >= argc || !argv[optind]) return -1;
|
||||
skipped = optind;
|
||||
if (optstring[0] != '+' && optstring[0] != '-') {
|
||||
int i;
|
||||
for (i=optind; ; i++) {
|
||||
if (i >= argc || !argv[i]) return -1;
|
||||
if (argv[i][0] == '-' && argv[i][1]) break;
|
||||
}
|
||||
optind = i;
|
||||
}
|
||||
resumed = optind;
|
||||
ret = __getopt_long_core(argc, argv, optstring, longopts, idx, longonly);
|
||||
if (resumed > skipped) {
|
||||
int i, cnt = optind-resumed;
|
||||
for (i=0; i<cnt; i++)
|
||||
permute(argv, skipped, optind-1);
|
||||
optind = skipped + cnt;
|
||||
}
|
||||
return ret;
|
||||
}
|
||||
|
||||
int getopt_long(int argc, char *const *argv, const char *optstring, const struct option *longopts, int *idx)
|
||||
{
|
||||
return __getopt_long(argc, argv, optstring, longopts, idx, 0);
|
||||
}
|
||||
|
||||
int getopt_long_only(int argc, char *const *argv, const char *optstring, const struct option *longopts, int *idx)
|
||||
{
|
||||
return __getopt_long(argc, argv, optstring, longopts, idx, 1);
|
||||
}
|
||||
@@ -1,53 +0,0 @@
|
||||
/*
|
||||
Copyright 2005-2014 Rich Felker, et al.
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining
|
||||
a copy of this software and associated documentation files (the
|
||||
"Software"), to deal in the Software without restriction, including
|
||||
without limitation the rights to use, copy, modify, merge, publish,
|
||||
distribute, sublicense, and/or sell copies of the Software, and to
|
||||
permit persons to whom the Software is furnished to do so, subject to
|
||||
the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be
|
||||
included in all copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
|
||||
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
|
||||
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
|
||||
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY
|
||||
CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT,
|
||||
TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE
|
||||
SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
|
||||
*/
|
||||
|
||||
#ifndef _GETOPT_H
|
||||
#define _GETOPT_H
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
int getopt(int, char * const [], const char *);
|
||||
extern char *optarg;
|
||||
extern int optind, opterr, optopt, optreset;
|
||||
|
||||
struct option {
|
||||
const char *name;
|
||||
int has_arg;
|
||||
int *flag;
|
||||
int val;
|
||||
};
|
||||
|
||||
int getopt_long(int, char *const *, const char *, const struct option *, int *);
|
||||
int getopt_long_only(int, char *const *, const char *, const struct option *, int *);
|
||||
|
||||
#define no_argument 0
|
||||
#define required_argument 1
|
||||
#define optional_argument 2
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
#endif
|
||||
|
||||
#endif
|
||||
@@ -1,31 +1,33 @@
|
||||
#include <string.h>
|
||||
#include <stdlib.h>
|
||||
#include <math.h>
|
||||
#include "mmpriv.h"
|
||||
#include "kalloc.h"
|
||||
#include "khash.h"
|
||||
|
||||
static inline void mm_cal_fuzzy_len(mm_reg1_t *r, const mm128_t *a)
|
||||
{
|
||||
int i;
|
||||
r->fuzzy_mlen = r->fuzzy_blen = 0;
|
||||
r->mlen = r->blen = 0;
|
||||
if (r->cnt <= 0) return;
|
||||
r->fuzzy_mlen = r->fuzzy_blen = a[r->as].y>>32&0xff;
|
||||
r->mlen = r->blen = a[r->as].y>>32&0xff;
|
||||
for (i = r->as + 1; i < r->as + r->cnt; ++i) {
|
||||
int span = a[i].y>>32&0xff;
|
||||
int tl = (int32_t)a[i].x - (int32_t)a[i-1].x;
|
||||
int ql = (int32_t)a[i].y - (int32_t)a[i-1].y;
|
||||
r->fuzzy_blen += tl > ql? tl : ql;
|
||||
r->fuzzy_mlen += tl > span && ql > span? span : tl < ql? tl : ql;
|
||||
r->blen += tl > ql? tl : ql;
|
||||
r->mlen += tl > span && ql > span? span : tl < ql? tl : ql;
|
||||
}
|
||||
}
|
||||
|
||||
static inline void mm_reg_set_coor(mm_reg1_t *r, int32_t qlen, const mm128_t *a)
|
||||
static inline void mm_reg_set_coor(mm_reg1_t *r, int32_t qlen, const mm128_t *a, int is_qstrand)
|
||||
{ // NB: r->as and r->cnt MUST BE set correctly for this function to work
|
||||
int32_t k = r->as, q_span = (int32_t)(a[k].y>>32&0xff);
|
||||
r->rev = a[k].x>>63;
|
||||
r->rid = a[k].x<<1>>33;
|
||||
r->rs = (int32_t)a[k].x + 1 > q_span? (int32_t)a[k].x + 1 - q_span : 0; // NB: target span may be shorter, so this test is necessary
|
||||
r->re = (int32_t)a[k + r->cnt - 1].x + 1;
|
||||
if (!r->rev) {
|
||||
if (!r->rev || is_qstrand) {
|
||||
r->qs = (int32_t)a[k].y + 1 - q_span;
|
||||
r->qe = (int32_t)a[k + r->cnt - 1].y + 1;
|
||||
} else {
|
||||
@@ -35,7 +37,19 @@ static inline void mm_reg_set_coor(mm_reg1_t *r, int32_t qlen, const mm128_t *a)
|
||||
mm_cal_fuzzy_len(r, a);
|
||||
}
|
||||
|
||||
mm_reg1_t *mm_gen_regs(void *km, int qlen, int n_u, uint64_t *u, mm128_t *a) // convert chains to hits
|
||||
static inline uint64_t hash64(uint64_t key)
|
||||
{
|
||||
key = (~key + (key << 21));
|
||||
key = key ^ key >> 24;
|
||||
key = ((key + (key << 3)) + (key << 8));
|
||||
key = key ^ key >> 14;
|
||||
key = ((key + (key << 2)) + (key << 4));
|
||||
key = key ^ key >> 28;
|
||||
key = (key + (key << 31));
|
||||
return key;
|
||||
}
|
||||
|
||||
mm_reg1_t *mm_gen_regs(void *km, uint32_t hash, int qlen, int n_u, uint64_t *u, mm128_t *a, int is_qstrand) // convert chains to hits
|
||||
{
|
||||
mm128_t *z, tmp;
|
||||
mm_reg1_t *r;
|
||||
@@ -46,7 +60,9 @@ mm_reg1_t *mm_gen_regs(void *km, int qlen, int n_u, uint64_t *u, mm128_t *a) //
|
||||
// sort by score
|
||||
z = (mm128_t*)kmalloc(km, n_u * 16);
|
||||
for (i = k = 0; i < n_u; ++i) {
|
||||
z[i].x = u[i] >> 32;
|
||||
uint32_t h;
|
||||
h = (uint32_t)hash64((hash64(a[k].x) + hash64(a[k].y)) ^ hash);
|
||||
z[i].x = u[i] ^ h; // u[i] -- higher 32 bits: chain score; lower 32 bits: number of seeds in the chain
|
||||
z[i].y = (uint64_t)k << 32 | (int32_t)u[i];
|
||||
k += (int32_t)u[i];
|
||||
}
|
||||
@@ -60,82 +76,141 @@ mm_reg1_t *mm_gen_regs(void *km, int qlen, int n_u, uint64_t *u, mm128_t *a) //
|
||||
mm_reg1_t *ri = &r[i];
|
||||
ri->id = i;
|
||||
ri->parent = MM_PARENT_UNSET;
|
||||
ri->score = z[i].x;
|
||||
ri->score = ri->score0 = z[i].x >> 32;
|
||||
ri->hash = (uint32_t)z[i].x;
|
||||
ri->cnt = (int32_t)z[i].y;
|
||||
ri->as = z[i].y >> 32;
|
||||
mm_reg_set_coor(ri, qlen, a);
|
||||
ri->div = -1.0f;
|
||||
mm_reg_set_coor(ri, qlen, a, is_qstrand);
|
||||
}
|
||||
kfree(km, z);
|
||||
return r;
|
||||
}
|
||||
|
||||
void mm_split_reg(mm_reg1_t *r, mm_reg1_t *r2, int n, int qlen, mm128_t *a)
|
||||
void mm_mark_alt(const mm_idx_t *mi, int n, mm_reg1_t *r)
|
||||
{
|
||||
int i;
|
||||
if (mi->n_alt == 0) return;
|
||||
for (i = 0; i < n; ++i)
|
||||
if (mi->seq[r[i].rid].is_alt)
|
||||
r[i].is_alt = 1;
|
||||
}
|
||||
|
||||
static inline int mm_alt_score(int score, float alt_diff_frac)
|
||||
{
|
||||
if (score < 0) return score;
|
||||
score = (int)(score * (1.0 - alt_diff_frac) + .499);
|
||||
return score > 0? score : 1;
|
||||
}
|
||||
|
||||
void mm_split_reg(mm_reg1_t *r, mm_reg1_t *r2, int n, int qlen, mm128_t *a, int is_qstrand)
|
||||
{
|
||||
if (n <= 0 || n >= r->cnt) return;
|
||||
*r2 = *r;
|
||||
r2->id = -1;
|
||||
r2->sam_pri = 0;
|
||||
r2->p = 0;
|
||||
r2->split_inv = 0;
|
||||
r2->cnt = r->cnt - n;
|
||||
r2->score = (int32_t)(r->score * ((float)r2->cnt / r->cnt) + .499);
|
||||
r2->as = r->as + n;
|
||||
if (r->parent == r->id) r2->parent = MM_PARENT_TMP_PRI;
|
||||
mm_reg_set_coor(r2, qlen, a);
|
||||
mm_reg_set_coor(r2, qlen, a, is_qstrand);
|
||||
r->cnt -= r2->cnt;
|
||||
r->score -= r2->score;
|
||||
mm_reg_set_coor(r, qlen, a);
|
||||
mm_reg_set_coor(r, qlen, a, is_qstrand);
|
||||
r->split |= 1, r2->split |= 2;
|
||||
}
|
||||
|
||||
void mm_set_parent(void *km, float mask_level, int n, mm_reg1_t *r) // and compute mm_reg1_t::subsc
|
||||
void mm_set_parent(void *km, float mask_level, int mask_len, int n, mm_reg1_t *r, int sub_diff, int hard_mask_level, float alt_diff_frac) // and compute mm_reg1_t::subsc
|
||||
{
|
||||
int i, j, k, *w;
|
||||
uint64_t *cov;
|
||||
if (n <= 0) return;
|
||||
for (i = 0; i < n; ++i) r[i].id = i;
|
||||
cov = (uint64_t*)kmalloc(km, n * sizeof(uint64_t));
|
||||
w = (int*)kmalloc(km, n * sizeof(int));
|
||||
w[0] = 0, r[0].parent = 0;
|
||||
for (i = 1, k = 1; i < n; ++i) {
|
||||
mm_reg1_t *ri = &r[i];
|
||||
int si = ri->qs, ei = ri->qe;
|
||||
for (j = 0; j < k; ++j) {
|
||||
int si = ri->qs, ei = ri->qe, n_cov = 0, uncov_len = 0;
|
||||
if (hard_mask_level) goto skip_uncov;
|
||||
for (j = 0; j < k; ++j) { // traverse existing primary hits to find overlapping hits
|
||||
mm_reg1_t *rp = &r[w[j]];
|
||||
int sj = rp->qs, ej = rp->qe;
|
||||
int min = ej - sj < ei - si? ej - sj : ei - si;
|
||||
int ol = si < sj? (ei < sj? 0 : ei < ej? ei - sj : ej - sj) : (ej < si? 0 : ej < ei? ej - si : ei - si);
|
||||
if (ol > mask_level * min) {
|
||||
if (ej <= si || sj >= ei) continue;
|
||||
if (sj < si) sj = si;
|
||||
if (ej > ei) ej = ei;
|
||||
cov[n_cov++] = (uint64_t)sj<<32 | ej;
|
||||
}
|
||||
if (n_cov == 0) {
|
||||
goto set_parent_test; // no overlapping primary hits; then i is a new primary hit
|
||||
} else if (n_cov > 0) { // there are overlapping primary hits; find the length not covered by existing primary hits
|
||||
int j, x = si;
|
||||
radix_sort_64(cov, cov + n_cov);
|
||||
for (j = 0; j < n_cov; ++j) {
|
||||
if ((int)(cov[j]>>32) > x) uncov_len += (cov[j]>>32) - x;
|
||||
x = (int32_t)cov[j] > x? (int32_t)cov[j] : x;
|
||||
}
|
||||
if (ei > x) uncov_len += ei - x;
|
||||
}
|
||||
skip_uncov:
|
||||
for (j = 0; j < k; ++j) { // traverse existing primary hits again
|
||||
mm_reg1_t *rp = &r[w[j]];
|
||||
int sj = rp->qs, ej = rp->qe, min, max, ol;
|
||||
if (ej <= si || sj >= ei) continue; // no overlap
|
||||
min = ej - sj < ei - si? ej - sj : ei - si;
|
||||
max = ej - sj > ei - si? ej - sj : ei - si;
|
||||
ol = si < sj? (ei < sj? 0 : ei < ej? ei - sj : ej - sj) : (ej < si? 0 : ej < ei? ej - si : ei - si); // overlap length; TODO: this can be simplified
|
||||
if ((float)ol / min - (float)uncov_len / max > mask_level && uncov_len <= mask_len) { // then this is a secondary hit
|
||||
int cnt_sub = 0, sci = ri->score;
|
||||
ri->parent = rp->parent;
|
||||
rp->subsc = rp->subsc > ri->score? rp->subsc : ri->score;
|
||||
if (rp->p && ri->p)
|
||||
rp->p->dp_max2 = rp->p->dp_max2 > ri->p->dp_max? rp->p->dp_max2 : ri->p->dp_max;
|
||||
if (!rp->is_alt && ri->is_alt) sci = mm_alt_score(sci, alt_diff_frac);
|
||||
rp->subsc = rp->subsc > sci? rp->subsc : sci;
|
||||
if (ri->cnt >= rp->cnt) cnt_sub = 1;
|
||||
if (rp->p && ri->p && (rp->rid != ri->rid || rp->rs != ri->rs || rp->re != ri->re || ol != min)) { // the last condition excludes identical hits after DP
|
||||
sci = ri->p->dp_max;
|
||||
if (!rp->is_alt && ri->is_alt) sci = mm_alt_score(sci, alt_diff_frac);
|
||||
rp->p->dp_max2 = rp->p->dp_max2 > sci? rp->p->dp_max2 : sci;
|
||||
if (rp->p->dp_max - ri->p->dp_max <= sub_diff) cnt_sub = 1;
|
||||
}
|
||||
if (cnt_sub) ++rp->n_sub;
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (j == k) w[k++] = i, ri->parent = i;
|
||||
set_parent_test:
|
||||
if (j == k) w[k++] = i, ri->parent = i, ri->n_sub = 0;
|
||||
}
|
||||
kfree(km, cov);
|
||||
kfree(km, w);
|
||||
}
|
||||
|
||||
void mm_hit_sort_by_dp(void *km, int *n_regs, mm_reg1_t *r)
|
||||
void mm_hit_sort(void *km, int *n_regs, mm_reg1_t *r, float alt_diff_frac)
|
||||
{
|
||||
int32_t i, n_aux, n = *n_regs;
|
||||
uint64_t *aux;
|
||||
int32_t i, n_aux, n = *n_regs, has_cigar = 0, no_cigar = 0;
|
||||
mm128_t *aux;
|
||||
mm_reg1_t *t;
|
||||
|
||||
if (n <= 1) return;
|
||||
aux = (uint64_t*)kmalloc(km, n * 8);
|
||||
aux = (mm128_t*)kmalloc(km, n * 16);
|
||||
t = (mm_reg1_t*)kmalloc(km, n * sizeof(mm_reg1_t));
|
||||
for (i = n_aux = 0; i < n; ++i) {
|
||||
if (r[i].inv || r[i].cnt > 0) { // squeeze out elements with cnt==0 (soft deleted)
|
||||
assert(r[i].p);
|
||||
aux[n_aux++] = (uint64_t)r[i].p->dp_max << 32 | i;
|
||||
int score;
|
||||
if (r[i].p) score = r[i].p->dp_max, has_cigar = 1;
|
||||
else score = r[i].score, no_cigar = 1;
|
||||
if (r[i].is_alt) score = mm_alt_score(score, alt_diff_frac);
|
||||
aux[n_aux].x = (uint64_t)score << 32 | r[i].hash;
|
||||
aux[n_aux++].y = i;
|
||||
} else if (r[i].p) {
|
||||
free(r[i].p);
|
||||
r[i].p = 0;
|
||||
}
|
||||
}
|
||||
radix_sort_64(aux, aux + n_aux);
|
||||
assert(has_cigar + no_cigar == 1);
|
||||
radix_sort_128x(aux, aux + n_aux);
|
||||
for (i = n_aux - 1; i >= 0; --i)
|
||||
t[n_aux - 1 - i] = r[(int32_t)aux[i]];
|
||||
t[n_aux - 1 - i] = r[aux[i].y];
|
||||
memcpy(r, t, sizeof(mm_reg1_t) * n_aux);
|
||||
*n_regs = n_aux;
|
||||
kfree(km, aux);
|
||||
@@ -177,30 +252,36 @@ void mm_sync_regs(void *km, int n_regs, mm_reg1_t *regs) // keep mm_reg1_t::{id,
|
||||
mm_set_sam_pri(n_regs, regs);
|
||||
}
|
||||
|
||||
void mm_select_sub(void *km, float mask_level, float pri_ratio, int min_diff, int best_n, int *n_, mm_reg1_t *r)
|
||||
void mm_select_sub(void *km, float pri_ratio, int min_diff, int best_n, int *n_, mm_reg1_t *r)
|
||||
{
|
||||
if (pri_ratio > 0.0f && *n_ > 0) {
|
||||
int i, k, n = *n_, n_2nd = 0;
|
||||
for (i = k = 0; i < n; ++i)
|
||||
if (r[i].parent == i) r[k++] = r[i];
|
||||
else if ((r[i].score >= r[r[i].parent].score * pri_ratio || r[i].score + min_diff >= r[r[i].parent].score) && n_2nd++ < best_n)
|
||||
for (i = k = 0; i < n; ++i) {
|
||||
int p = r[i].parent;
|
||||
if (p == i || r[i].inv) { // primary or inversion
|
||||
r[k++] = r[i];
|
||||
else if (r[i].p) free(r[i].p);
|
||||
} else if ((r[i].score >= r[p].score * pri_ratio || r[i].score + min_diff >= r[p].score) && n_2nd < best_n) {
|
||||
if (!(r[i].qs == r[p].qs && r[i].qe == r[p].qe && r[i].rid == r[p].rid && r[i].rs == r[p].rs && r[i].re == r[p].re)) // not identical hits
|
||||
r[k++] = r[i], ++n_2nd;
|
||||
else if (r[i].p) free(r[i].p);
|
||||
} else if (r[i].p) free(r[i].p);
|
||||
}
|
||||
if (k != n) mm_sync_regs(km, k, r); // removing hits requires sync()
|
||||
*n_ = k;
|
||||
}
|
||||
}
|
||||
|
||||
void mm_filter_regs(void *km, const mm_mapopt_t *opt, int *n_regs, mm_reg1_t *regs)
|
||||
void mm_filter_regs(const mm_mapopt_t *opt, int qlen, int *n_regs, mm_reg1_t *regs)
|
||||
{ // NB: after this call, mm_reg1_t::parent can be -1 if its parent filtered out
|
||||
int i, k;
|
||||
for (i = k = 0; i < *n_regs; ++i) {
|
||||
mm_reg1_t *r = ®s[i];
|
||||
int flt = 0;
|
||||
if (!r->inv && r->cnt < opt->min_cnt) flt = 1;
|
||||
if (r->p) {
|
||||
if (r->p->blen - r->p->n_ambi - r->p->n_diff < opt->min_chain_score) flt = 1;
|
||||
if (!r->inv && !r->seg_split && r->cnt < opt->min_cnt) flt = 1;
|
||||
if (r->p) { // these filters are only applied when base-alignment is available
|
||||
if (r->mlen < opt->min_chain_score) flt = 1;
|
||||
else if (r->p->dp_max < opt->min_dp_max) flt = 1;
|
||||
else if (r->qs > qlen * opt->max_clip_ratio && qlen - r->qe > qlen * opt->max_clip_ratio) flt = 1;
|
||||
if (flt) free(r->p);
|
||||
}
|
||||
if (!flt) {
|
||||
@@ -231,81 +312,139 @@ int mm_squeeze_a(void *km, int n_regs, mm_reg1_t *regs, mm128_t *a)
|
||||
return as;
|
||||
}
|
||||
|
||||
void mm_join_long(void *km, const mm_mapopt_t *opt, int qlen, int *n_regs_, mm_reg1_t *regs, mm128_t *a)
|
||||
mm_seg_t *mm_seg_gen(void *km, uint32_t hash, int n_segs, const int *qlens, int n_regs0, const mm_reg1_t *regs0, int *n_regs, mm_reg1_t **regs, const mm128_t *a)
|
||||
{
|
||||
int i, n_aux, n_regs = *n_regs_, n_drop = 0;
|
||||
uint64_t *aux;
|
||||
int s, i, j, acc_qlen[MM_MAX_SEG+1], qlen_sum = 0;
|
||||
mm_seg_t *seg;
|
||||
|
||||
if (n_regs < 2) return; // nothing to join
|
||||
mm_squeeze_a(km, n_regs, regs, a);
|
||||
assert(n_segs <= MM_MAX_SEG);
|
||||
for (s = 1, acc_qlen[0] = 0; s < n_segs; ++s)
|
||||
acc_qlen[s] = acc_qlen[s-1] + qlens[s-1];
|
||||
qlen_sum = acc_qlen[n_segs - 1] + qlens[n_segs - 1];
|
||||
|
||||
aux = (uint64_t*)kmalloc(km, n_regs * 8);
|
||||
for (i = n_aux = 0; i < n_regs; ++i)
|
||||
if (regs[i].parent == i || regs[i].parent < 0)
|
||||
aux[n_aux++] = (uint64_t)regs[i].as << 32 | i;
|
||||
radix_sort_64(aux, aux + n_aux);
|
||||
|
||||
for (i = n_aux - 1; i >= 1; --i) {
|
||||
mm_reg1_t *r0 = ®s[(int32_t)aux[i-1]], *r1 = ®s[(int32_t)aux[i]];
|
||||
mm128_t *a0e, *a1s;
|
||||
int max_gap, min_gap, sc_thres;
|
||||
|
||||
// test
|
||||
if (r0->as + r0->cnt != r1->as) continue; // not adjacent in a[]
|
||||
if (r0->rid != r1->rid || r0->rev != r1->rev) continue; // make sure on the same target and strand
|
||||
a0e = &a[r0->as + r0->cnt - 1];
|
||||
a1s = &a[r1->as];
|
||||
if (a1s->x <= a0e->x || (int32_t)a1s->y <= (int32_t)a0e->y) continue; // keep colinearity
|
||||
max_gap = min_gap = (int32_t)a1s->y - (int32_t)a0e->y;
|
||||
max_gap = max_gap > a1s->x - a0e->x? max_gap : a1s->x - a0e->x;
|
||||
min_gap = min_gap < a1s->x - a0e->x? min_gap : a1s->x - a0e->x;
|
||||
if (max_gap > opt->max_join_long || min_gap > opt->max_join_short) continue;
|
||||
sc_thres = (int)((float)opt->min_join_flank_sc / opt->max_join_long * max_gap + .499);
|
||||
if (r0->score < sc_thres || r1->score < sc_thres) continue; // require good flanking chains
|
||||
if (r0->re - r0->rs < max_gap>>1 || r0->qe - r0->qs < max_gap>>1) continue; // require enough flanking length
|
||||
if (r1->re - r1->rs < max_gap>>1 || r1->qe - r1->qs < max_gap>>1) continue;
|
||||
|
||||
// all conditions satisfied; join
|
||||
a[r1->as].y |= MM_SEED_LONG_JOIN;
|
||||
r0->cnt += r1->cnt, r0->score += r1->score;
|
||||
mm_reg_set_coor(r0, qlen, a);
|
||||
r1->cnt = 0;
|
||||
r1->parent = r0->id;
|
||||
++n_drop;
|
||||
seg = (mm_seg_t*)kcalloc(km, n_segs, sizeof(mm_seg_t));
|
||||
for (s = 0; s < n_segs; ++s) {
|
||||
seg[s].u = (uint64_t*)kmalloc(km, n_regs0 * 8);
|
||||
for (i = 0; i < n_regs0; ++i)
|
||||
seg[s].u[i] = (uint64_t)regs0[i].score << 32;
|
||||
}
|
||||
kfree(km, aux);
|
||||
|
||||
if (n_drop > 0) { // then fix the hits hierarchy
|
||||
for (i = 0; i < n_regs; ++i) { // adjust the mm_reg1_t::parent
|
||||
mm_reg1_t *r = ®s[i];
|
||||
if (r->parent >= 0 && r->id != r->parent) { // fix for secondary hits only
|
||||
if (regs[r->parent].parent >= 0 && regs[r->parent].parent != r->parent)
|
||||
r->parent = regs[r->parent].parent;
|
||||
}
|
||||
for (i = 0; i < n_regs0; ++i) {
|
||||
const mm_reg1_t *r = ®s0[i];
|
||||
for (j = 0; j < r->cnt; ++j) {
|
||||
int sid = (a[r->as + j].y&MM_SEED_SEG_MASK)>>MM_SEED_SEG_SHIFT;
|
||||
++seg[sid].u[i];
|
||||
++seg[sid].n_a;
|
||||
}
|
||||
mm_filter_regs(km, opt, n_regs_, regs);
|
||||
mm_sync_regs(km, *n_regs_, regs);
|
||||
}
|
||||
for (s = 0; s < n_segs; ++s) {
|
||||
mm_seg_t *sr = &seg[s];
|
||||
for (i = 0, sr->n_u = 0; i < n_regs0; ++i) // squeeze out zero-length per-segment chains
|
||||
if ((int32_t)sr->u[i] != 0)
|
||||
sr->u[sr->n_u++] = sr->u[i];
|
||||
sr->a = (mm128_t*)kmalloc(km, sr->n_a * sizeof(mm128_t));
|
||||
sr->n_a = 0;
|
||||
}
|
||||
|
||||
for (i = 0; i < n_regs0; ++i) {
|
||||
const mm_reg1_t *r = ®s0[i];
|
||||
for (j = 0; j < r->cnt; ++j) {
|
||||
int sid = (a[r->as + j].y&MM_SEED_SEG_MASK)>>MM_SEED_SEG_SHIFT;
|
||||
mm128_t a1 = a[r->as + j];
|
||||
// on reverse strand, the segment position is:
|
||||
// x_for_cat = qlen_sum - 1 - (int32_t)a1.y - 1 + q_span
|
||||
// (int32_t)new_a1.y = qlens[sid] - (x_for_cat - acc_qlen[sid] + 1 - q_span) - 1 = (int32_t)a1.y - (qlen_sum - (qlens[sid] + acc_qlen[sid]))
|
||||
a1.y -= a1.x>>63? qlen_sum - (qlens[sid] + acc_qlen[sid]) : acc_qlen[sid];
|
||||
seg[sid].a[seg[sid].n_a++] = a1;
|
||||
}
|
||||
}
|
||||
for (s = 0; s < n_segs; ++s) {
|
||||
regs[s] = mm_gen_regs(km, hash, qlens[s], seg[s].n_u, seg[s].u, seg[s].a, 0);
|
||||
n_regs[s] = seg[s].n_u;
|
||||
for (i = 0; i < n_regs[s]; ++i) {
|
||||
regs[s][i].seg_split = 1;
|
||||
regs[s][i].seg_id = s;
|
||||
}
|
||||
}
|
||||
return seg;
|
||||
}
|
||||
|
||||
void mm_set_mapq(int n_regs, mm_reg1_t *regs, int min_chain_sc)
|
||||
void mm_seg_free(void *km, int n_segs, mm_seg_t *segs)
|
||||
{
|
||||
static const float q_coef = 30.0f;
|
||||
int i;
|
||||
for (i = 0; i < n_segs; ++i) kfree(km, segs[i].u);
|
||||
for (i = 0; i < n_segs; ++i) kfree(km, segs[i].a);
|
||||
kfree(km, segs);
|
||||
}
|
||||
|
||||
static void mm_set_inv_mapq(void *km, int n_regs, mm_reg1_t *regs)
|
||||
{
|
||||
int i, n_aux;
|
||||
mm128_t *aux;
|
||||
if (n_regs < 3) return;
|
||||
for (i = 0; i < n_regs; ++i)
|
||||
if (regs[i].inv) break;
|
||||
if (i == n_regs) return; // no inversion hits
|
||||
|
||||
aux = (mm128_t*)kmalloc(km, n_regs * 16);
|
||||
for (i = n_aux = 0; i < n_regs; ++i)
|
||||
if (regs[i].parent == i || regs[i].parent < 0)
|
||||
aux[n_aux].y = i, aux[n_aux++].x = (uint64_t)regs[i].rid << 32 | regs[i].rs;
|
||||
radix_sort_128x(aux, aux + n_aux);
|
||||
|
||||
for (i = 1; i < n_aux - 1; ++i) {
|
||||
mm_reg1_t *inv = ®s[aux[i].y];
|
||||
if (inv->inv) {
|
||||
mm_reg1_t *l = ®s[aux[i-1].y];
|
||||
mm_reg1_t *r = ®s[aux[i+1].y];
|
||||
inv->mapq = l->mapq < r->mapq? l->mapq : r->mapq;
|
||||
}
|
||||
}
|
||||
kfree(km, aux);
|
||||
}
|
||||
|
||||
void mm_set_mapq(void *km, int n_regs, mm_reg1_t *regs, int min_chain_sc, int match_sc, int rep_len, int is_sr)
|
||||
{
|
||||
static const float q_coef = 40.0f;
|
||||
int64_t sum_sc = 0;
|
||||
float uniq_ratio;
|
||||
int i;
|
||||
if (n_regs == 0) return;
|
||||
for (i = 0; i < n_regs; ++i)
|
||||
if (regs[i].parent == regs[i].id)
|
||||
sum_sc += regs[i].score;
|
||||
uniq_ratio = (float)sum_sc / (sum_sc + rep_len);
|
||||
for (i = 0; i < n_regs; ++i) {
|
||||
mm_reg1_t *r = ®s[i];
|
||||
if (r->inv) {
|
||||
r->mapq = 0;
|
||||
} else if (r->parent == r->id) {
|
||||
int mapq, subsc;
|
||||
float pen_cm = r->cnt >= 10? 1.0f : 0.1f * r->cnt;
|
||||
float pen_s1 = (r->score > 100? 1.0f : 0.01f * r->score) * uniq_ratio;
|
||||
float pen_cm = r->cnt > 10? 1.0f : 0.1f * r->cnt;
|
||||
pen_cm = pen_s1 < pen_cm? pen_s1 : pen_cm;
|
||||
subsc = r->subsc > min_chain_sc? r->subsc : min_chain_sc;
|
||||
if (r->p && r->p->dp_max2 > 0 && r->p->dp_max > 0) {
|
||||
float identity = (float)(r->p->blen - r->p->n_diff - r->p->n_ambi) / (r->p->blen - r->p->n_ambi);
|
||||
mapq = (int)(identity * pen_cm * q_coef * (1. - (float)r->p->dp_max2 * subsc / r->p->dp_max / r->score) * logf(r->score));
|
||||
} else mapq = (int)(pen_cm * q_coef * (1. - (float)subsc / r->score) * logf(r->score));
|
||||
float identity = (float)r->mlen / r->blen;
|
||||
float x = (float)r->p->dp_max2 * subsc / r->p->dp_max / r->score0;
|
||||
mapq = (int)(identity * pen_cm * q_coef * (1.0f - x * x) * logf((float)r->p->dp_max / match_sc));
|
||||
if (!is_sr) {
|
||||
int mapq_alt = (int)(6.02f * identity * identity * (r->p->dp_max - r->p->dp_max2) / match_sc + .499f); // BWA-MEM like mapQ, mostly for short reads
|
||||
mapq = mapq < mapq_alt? mapq : mapq_alt; // in case the long-read heuristic fails
|
||||
}
|
||||
} else {
|
||||
float x = (float)subsc / r->score0;
|
||||
if (r->p) {
|
||||
float identity = (float)r->mlen / r->blen;
|
||||
mapq = (int)(identity * pen_cm * q_coef * (1.0f - x) * logf((float)r->p->dp_max / match_sc));
|
||||
} else {
|
||||
mapq = (int)(pen_cm * q_coef * (1.0f - x) * logf(r->score));
|
||||
}
|
||||
}
|
||||
mapq -= (int)(4.343f * logf(r->n_sub + 1) + .499f);
|
||||
mapq = mapq > 0? mapq : 0;
|
||||
r->mapq = mapq < 60? mapq : 60;
|
||||
if (r->p && r->p->dp_max > r->p->dp_max2 && r->mapq == 0) r->mapq = 1;
|
||||
} else r->mapq = 0;
|
||||
}
|
||||
mm_set_inv_mapq(km, n_regs, regs);
|
||||
}
|
||||
|
||||
@@ -1,175 +1,151 @@
|
||||
#include <stdio.h>
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
#include <limits.h>
|
||||
#include "kalloc.h"
|
||||
|
||||
/* The whole thing is: ("@" for the kheader_t of the block, "-" for free
|
||||
* memory, and "+" for allocated memory. One char for one unit.)
|
||||
*
|
||||
* This region is core 1. This region is core 2.
|
||||
/* In kalloc, a *core* is a large chunk of contiguous memory. Each core is
|
||||
* associated with a master header, which keeps the size of the current core
|
||||
* and the pointer to next core. Kalloc allocates small *blocks* of memory from
|
||||
* the cores and organizes free memory blocks in a circular single-linked list.
|
||||
*
|
||||
* @-------@++++++@++++++++++++@------------ @----------@++++++++++++@+++++++@------------
|
||||
* | | | |
|
||||
* p=p->ptr->ptr->ptr->ptr p->ptr p->ptr->ptr p->ptr->ptr->ptr
|
||||
* In the following diagram, "@" stands for the header of a free block (of type
|
||||
* header_t), "#" for the header of an allocated block (of type size_t), "-"
|
||||
* for free memory, and "+" for allocated memory.
|
||||
*
|
||||
* master This region is core 1. master This region is core 2.
|
||||
* | |
|
||||
* *@-------#++++++#++++++++++++@-------- *@----------#++++++++++++#+++++++@------------
|
||||
* | | | |
|
||||
* p=p->ptr->ptr->ptr->ptr p->ptr p->ptr->ptr p->ptr->ptr->ptr
|
||||
*/
|
||||
|
||||
#define PTR(p) ((size_t*)((size_t*)p)[1])
|
||||
|
||||
typedef struct _allocated_t {
|
||||
struct _allocated_t *next;
|
||||
size_t *ptr;
|
||||
} allocated_t;
|
||||
typedef struct header_t {
|
||||
size_t size;
|
||||
struct header_t *ptr;
|
||||
} header_t;
|
||||
|
||||
typedef struct {
|
||||
size_t base[2], *loop_head;
|
||||
allocated_t list_head, *list_tail;
|
||||
size_t total_allocated;
|
||||
void *par;
|
||||
size_t min_core_size;
|
||||
header_t base, *loop_head, *core_head; /* base is a zero-sized block always kept in the loop */
|
||||
} kmem_t;
|
||||
|
||||
void *km_init()
|
||||
{
|
||||
return calloc(1, sizeof(kmem_t));
|
||||
}
|
||||
|
||||
static void kerror(const char *s)
|
||||
static void panic(const char *s)
|
||||
{
|
||||
fprintf(stderr, "%s\n", s);
|
||||
exit(1);
|
||||
abort();
|
||||
}
|
||||
|
||||
static size_t *morecore(kmem_t *km, size_t nu)
|
||||
void *km_init2(void *km_par, size_t min_core_size)
|
||||
{
|
||||
size_t rnu, *up;
|
||||
|
||||
rnu = (nu + 0xfffff) & (~(size_t)0xfffff);
|
||||
up = (size_t*)malloc(rnu * sizeof(size_t));
|
||||
if (!up) { /* fail to allocate memory */
|
||||
km_stat(km);
|
||||
fprintf(stderr, "[morecore] %lu bytes requested but not available.\n", (unsigned long)rnu * sizeof(size_t));
|
||||
exit(1);
|
||||
}
|
||||
/* put the pointer in km->list_head */
|
||||
if (km->list_tail == 0) km->list_tail = &km->list_head;
|
||||
km->list_tail->ptr = up;
|
||||
km->list_tail->next = (allocated_t*)calloc(1, sizeof(allocated_t));
|
||||
km->list_tail = km->list_tail->next;
|
||||
|
||||
km->total_allocated += rnu * sizeof(size_t);
|
||||
*up = rnu; /* the size of the current block, and in this case the block is the same as the new core */
|
||||
kfree(km, up + 1); /* initialize the new "core" */
|
||||
return km->loop_head;
|
||||
kmem_t *km;
|
||||
km = (kmem_t*)kcalloc(km_par, 1, sizeof(kmem_t));
|
||||
km->par = km_par;
|
||||
km->min_core_size = min_core_size > 0? min_core_size : 0x80000;
|
||||
return (void*)km;
|
||||
}
|
||||
|
||||
void *km_init(void) { return km_init2(0, 0); }
|
||||
|
||||
void km_destroy(void *_km)
|
||||
{
|
||||
kmem_t *km = (kmem_t*)_km;
|
||||
allocated_t *p, *q;
|
||||
if (km == 0) return;
|
||||
p = &km->list_head;
|
||||
do {
|
||||
q = p->next;
|
||||
free(p->ptr);
|
||||
if (p != &km->list_head) free(p);
|
||||
void *km_par;
|
||||
header_t *p, *q;
|
||||
if (km == NULL) return;
|
||||
km_par = km->par;
|
||||
for (p = km->core_head; p != NULL;) {
|
||||
q = p->ptr;
|
||||
kfree(km_par, p);
|
||||
p = q;
|
||||
} while (p && p->next);
|
||||
if (p != &km->list_head) free(p);
|
||||
free(km);
|
||||
}
|
||||
kfree(km_par, km);
|
||||
}
|
||||
|
||||
void kfree(void *_km, void *ap)
|
||||
static header_t *morecore(kmem_t *km, size_t nu)
|
||||
{
|
||||
size_t *p, *q;
|
||||
header_t *q;
|
||||
size_t bytes, *p;
|
||||
nu = (nu + 1 + (km->min_core_size - 1)) / km->min_core_size * km->min_core_size; /* the first +1 for core header */
|
||||
bytes = nu * sizeof(header_t);
|
||||
q = (header_t*)kmalloc(km->par, bytes);
|
||||
if (!q) panic("[morecore] insufficient memory");
|
||||
q->ptr = km->core_head, q->size = nu, km->core_head = q;
|
||||
p = (size_t*)(q + 1);
|
||||
*p = nu - 1; /* the size of the free block; -1 because the first unit is used for the core header */
|
||||
kfree(km, p + 1); /* initialize the new "core"; NB: the core header is not looped. */
|
||||
return km->loop_head;
|
||||
}
|
||||
|
||||
void kfree(void *_km, void *ap) /* kfree() also adds a new core to the circular list */
|
||||
{
|
||||
header_t *p, *q;
|
||||
kmem_t *km = (kmem_t*)_km;
|
||||
|
||||
if (!ap) return;
|
||||
if (km == 0) {
|
||||
if (km == NULL) {
|
||||
free(ap);
|
||||
return;
|
||||
}
|
||||
p = (size_t*)ap - 1; /* *p is the size of the current block */
|
||||
p = (header_t*)((size_t*)ap - 1);
|
||||
p->size = *((size_t*)ap - 1);
|
||||
/* Find the pointer that points to the block to be freed. The following loop can stop on two conditions:
|
||||
*
|
||||
* a) "p>q && p<q->ptr": @------@++++++++@+++++++@------- @---------------@+++++++@-------
|
||||
* a) "p>q && p<q->ptr": @------#++++++++#+++++++@------- @---------------#+++++++@-------
|
||||
* (can also be in | | | -> | |
|
||||
* two cores) q p q->ptr q q->ptr
|
||||
*
|
||||
* @-------- @+++++++++@-------- @-------- @------------------
|
||||
* @-------- #+++++++++@-------- @-------- @------------------
|
||||
* | | | -> | |
|
||||
* q p q->ptr q q->ptr
|
||||
*
|
||||
* b) "q>=q->ptr && (p>q || p<q->ptr)": @-------@+++++ @--------@+++++++ @-------@+++++ @----------------
|
||||
* b) "q>=q->ptr && (p>q || p<q->ptr)": @-------#+++++ @--------#+++++++ @-------#+++++ @----------------
|
||||
* | | | -> | |
|
||||
* q->ptr q p q->ptr q
|
||||
*
|
||||
* @+++++++@----- @++++++++@------- @------------- @++++++++@-------
|
||||
* #+++++++@----- #++++++++@------- @------------- #++++++++@-------
|
||||
* | | | -> | |
|
||||
* p q->ptr q q->ptr q
|
||||
*/
|
||||
for (q = km->loop_head; !(p > q && p < PTR(q)); q = PTR(q))
|
||||
if (q >= PTR(q) && (p > q || p < PTR(q))) break;
|
||||
if (p + (*p) == PTR(q)) { /* two adjacent blocks, merge p and q->ptr (the 2nd and 4th cases) */
|
||||
*p += *PTR(q); /* this is the new q->ptr size */
|
||||
p[1] = (size_t)PTR(PTR(q)); /* this is the new q->ptr->ptr */
|
||||
/* p is actually the new q->ptr. The actual change happens a few lines below. */
|
||||
} else if (p + (*p) > PTR(q) && PTR(q) >= p) { /* the end of the allocated block is in the next free block */
|
||||
kerror("[kfree] The end of the allocated block enters a free block.");
|
||||
} else p[1] = (size_t)PTR(q); /* backup q->ptr */
|
||||
for (q = km->loop_head; !(p > q && p < q->ptr); q = q->ptr)
|
||||
if (q >= q->ptr && (p > q || p < q->ptr)) break;
|
||||
if (p + p->size == q->ptr) { /* two adjacent blocks, merge p and q->ptr (the 2nd and 4th cases) */
|
||||
p->size += q->ptr->size;
|
||||
p->ptr = q->ptr->ptr;
|
||||
} else if (p + p->size > q->ptr && q->ptr >= p) {
|
||||
panic("[kfree] The end of the allocated block enters a free block.");
|
||||
} else p->ptr = q->ptr; /* backup q->ptr */
|
||||
|
||||
if (q + (*q) == p) { /* two adjacent blocks, merge q and p (the other two cases) */
|
||||
*q += *p;
|
||||
q[1] = (size_t)PTR(p);
|
||||
if (q + q->size == p) { /* two adjacent blocks, merge q and p (the other two cases) */
|
||||
q->size += p->size;
|
||||
q->ptr = p->ptr;
|
||||
km->loop_head = q;
|
||||
} else if (q + (*q) > p && p >= q) { /* the end of a free block in the allocated block */
|
||||
kerror("[kfree] The end of a free block enters the allocated block.");
|
||||
} else km->loop_head = p, q[1] = (size_t)p; /* in two cores, cannot be merged */
|
||||
}
|
||||
|
||||
void *krealloc(void *_km, void *ap, size_t n_bytes)
|
||||
{
|
||||
kmem_t *km = (kmem_t*)_km;
|
||||
size_t n_units, *p, *q;
|
||||
|
||||
if (n_bytes == 0) {
|
||||
kfree(km, ap); return 0;
|
||||
}
|
||||
if (km == 0) return realloc(ap, n_bytes);
|
||||
if (!ap) return kmalloc(km, n_bytes);
|
||||
n_units = 1 + (n_bytes + sizeof(size_t) - 1) / sizeof(size_t);
|
||||
p = (size_t*)ap - 1;
|
||||
if (*p >= n_units) return ap; /* TODO: this prevents shrinking */
|
||||
q = (size_t*)kmalloc(km, n_bytes);
|
||||
memcpy(q, ap, (*p - 1) * sizeof(size_t));
|
||||
kfree(km, ap);
|
||||
return q;
|
||||
} else if (q + q->size > p && p >= q) {
|
||||
panic("[kfree] The end of a free block enters the allocated block.");
|
||||
} else km->loop_head = p, q->ptr = p; /* in two cores, cannot be merged; create a new block in the list */
|
||||
}
|
||||
|
||||
void *kmalloc(void *_km, size_t n_bytes)
|
||||
{
|
||||
kmem_t *km = (kmem_t*)_km;
|
||||
size_t n_units, *p, *q;
|
||||
size_t n_units;
|
||||
header_t *p, *q;
|
||||
|
||||
if (n_bytes == 0) return 0;
|
||||
if (km == 0) return malloc(n_bytes);
|
||||
/* "n_units" means the number of units. The size of one unit equals to sizeof(kheader_t).
|
||||
* "1" is the kheader_t of a block, which is always required. */
|
||||
n_units = 1 + (n_bytes + sizeof(size_t) - 1) / sizeof(size_t);
|
||||
if (n_units&1) ++n_units; /* make n_units an even number, or it will segfault if only one unit remains */
|
||||
if (km == NULL) return malloc(n_bytes);
|
||||
n_units = (n_bytes + sizeof(size_t) + sizeof(header_t) - 1) / sizeof(header_t); /* header+n_bytes requires at least this number of units */
|
||||
|
||||
if (!(q = km->loop_head)) { /* the first time when kmalloc() is called, intialization */
|
||||
km->base[1] = (size_t)(km->loop_head = q = km->base); *q = 0;
|
||||
}
|
||||
for (p = PTR(q);; q = p, p = PTR(p)) { /* search for a suitable block */
|
||||
if (*p >= n_units) { /* p->size if the size of current block. This line means the current block is large enough. */
|
||||
if (*p == n_units) q[1] = (size_t)PTR(p); /* no need to split the block */
|
||||
else { /* split the block */
|
||||
/* memory is allocated at the end of the block */
|
||||
*p -= n_units; /* reduce the size of the free block */
|
||||
p += *p; /* skip to the kheader_t of the allocated block */
|
||||
*p = n_units; /* set the size */
|
||||
if (!(q = km->loop_head)) /* the first time when kmalloc() is called, intialize it */
|
||||
q = km->loop_head = km->base.ptr = &km->base;
|
||||
for (p = q->ptr;; q = p, p = p->ptr) { /* search for a suitable block */
|
||||
if (p->size >= n_units) { /* p->size if the size of current block. This line means the current block is large enough. */
|
||||
if (p->size == n_units) q->ptr = p->ptr; /* no need to split the block */
|
||||
else { /* split the block. NB: memory is allocated at the end of the block! */
|
||||
p->size -= n_units; /* reduce the size of the free block */
|
||||
p += p->size; /* p points to the allocated block */
|
||||
*(size_t*)p = n_units; /* set the size */
|
||||
}
|
||||
km->loop_head = q; /* set the end of chain */
|
||||
return p + 1; /* skip the kheader_t */
|
||||
return (size_t*)p + 1;
|
||||
}
|
||||
if (p == km->loop_head) { /* then ask for more "cores" */
|
||||
if ((p = morecore(km, n_units)) == 0) return 0;
|
||||
@@ -182,33 +158,48 @@ void *kcalloc(void *_km, size_t count, size_t size)
|
||||
kmem_t *km = (kmem_t*)_km;
|
||||
void *p;
|
||||
if (size == 0 || count == 0) return 0;
|
||||
if (km == 0) return calloc(count, size);
|
||||
if (km == NULL) return calloc(count, size);
|
||||
p = kmalloc(km, count * size);
|
||||
memset(p, 0, count * size);
|
||||
return p;
|
||||
}
|
||||
|
||||
void km_stat(const void *_km)
|
||||
void *krealloc(void *_km, void *ap, size_t n_bytes) // TODO: this can be made more efficient in principle
|
||||
{
|
||||
kmem_t *km = (kmem_t*)_km;
|
||||
unsigned n_blocks, n_units;
|
||||
size_t max_block = 0, *p, *q;
|
||||
float frag;
|
||||
size_t cap, *p, *q;
|
||||
|
||||
if (km == 0 || !(p = km->loop_head)) return;
|
||||
n_blocks = n_units = 0;
|
||||
do {
|
||||
q = PTR(p);
|
||||
if (*p > max_block) max_block = *p;
|
||||
n_units += *p;
|
||||
if (p + (*p) > q && q > p)
|
||||
kerror("[kr_stat] The end of a free block enters another free block.");
|
||||
p = q;
|
||||
++n_blocks;
|
||||
} while (p != km->loop_head);
|
||||
|
||||
--n_blocks;
|
||||
frag = 1.0/1024.0 * n_units * sizeof(size_t) / n_blocks;
|
||||
fprintf(stderr, "[kr_stat] tot=%lu, free=%lu, n_block=%u, max_block=%lu, frag_len=%.3fK\n",
|
||||
(unsigned long)km->total_allocated, (unsigned long)n_units * sizeof(size_t), n_blocks, (unsigned long)max_block * sizeof(size_t), frag);
|
||||
if (n_bytes == 0) {
|
||||
kfree(km, ap); return 0;
|
||||
}
|
||||
if (km == NULL) return realloc(ap, n_bytes);
|
||||
if (ap == NULL) return kmalloc(km, n_bytes);
|
||||
p = (size_t*)ap - 1;
|
||||
cap = (*p) * sizeof(header_t) - sizeof(size_t);
|
||||
if (cap >= n_bytes) return ap; /* TODO: this prevents shrinking */
|
||||
q = (size_t*)kmalloc(km, n_bytes);
|
||||
memcpy(q, ap, cap);
|
||||
kfree(km, ap);
|
||||
return q;
|
||||
}
|
||||
|
||||
void km_stat(const void *_km, km_stat_t *s)
|
||||
{
|
||||
kmem_t *km = (kmem_t*)_km;
|
||||
header_t *p;
|
||||
memset(s, 0, sizeof(km_stat_t));
|
||||
if (km == NULL || km->loop_head == NULL) return;
|
||||
for (p = km->loop_head;; p = p->ptr) {
|
||||
s->available += p->size * sizeof(header_t);
|
||||
if (p->size != 0) ++s->n_blocks; /* &kmem_t::base is always one of the cores. It is zero-sized. */
|
||||
if (p->ptr > p && p + p->size > p->ptr)
|
||||
panic("[km_stat] The end of a free block enters another free block.");
|
||||
if (p->ptr == km->loop_head) break;
|
||||
}
|
||||
for (p = km->core_head; p != NULL; p = p->ptr) {
|
||||
size_t size = p->size * sizeof(header_t);
|
||||
++s->n_cores;
|
||||
s->capacity += size;
|
||||
s->largest = s->largest > size? s->largest : size;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -1,26 +1,76 @@
|
||||
#ifndef _KALLOC_H_
|
||||
#define _KALLOC_H_
|
||||
|
||||
#include <stdlib.h>
|
||||
|
||||
#define km_size(x) (*(((size_t*)(x))-1) * sizeof(size_t))
|
||||
#include <stddef.h> /* for size_t */
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
typedef struct {
|
||||
size_t capacity, available, n_blocks, n_cores, largest;
|
||||
} km_stat_t;
|
||||
|
||||
void *kmalloc(void *km, size_t size);
|
||||
void *krealloc(void *km, void *ptr, size_t size);
|
||||
void *kcalloc(void *km, size_t count, size_t size);
|
||||
void kfree(void *km, void *ptr);
|
||||
|
||||
void *km_init(void);
|
||||
void *km_init2(void *km_par, size_t min_core_size);
|
||||
void km_destroy(void *km);
|
||||
|
||||
void km_stat(const void *km); // TODO: return numbers instead of print to stderr
|
||||
void km_stat(const void *_km, km_stat_t *s);
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
#endif
|
||||
|
||||
#define KMALLOC(km, ptr, len) ((ptr) = (__typeof__(ptr))kmalloc((km), (len) * sizeof(*(ptr))))
|
||||
#define KCALLOC(km, ptr, len) ((ptr) = (__typeof__(ptr))kcalloc((km), (len), sizeof(*(ptr))))
|
||||
#define KREALLOC(km, ptr, len) ((ptr) = (__typeof__(ptr))krealloc((km), (ptr), (len) * sizeof(*(ptr))))
|
||||
|
||||
#define KEXPAND(km, a, m) do { \
|
||||
(m) = (m) >= 4? (m) + ((m)>>1) : 16; \
|
||||
KREALLOC((km), (a), (m)); \
|
||||
} while (0)
|
||||
|
||||
#ifndef klib_unused
|
||||
#if (defined __clang__ && __clang_major__ >= 3) || (defined __GNUC__ && __GNUC__ >= 3)
|
||||
#define klib_unused __attribute__ ((__unused__))
|
||||
#else
|
||||
#define klib_unused
|
||||
#endif
|
||||
#endif /* klib_unused */
|
||||
|
||||
#define KALLOC_POOL_INIT2(SCOPE, name, kmptype_t) \
|
||||
typedef struct { \
|
||||
size_t cnt, n, max; \
|
||||
kmptype_t **buf; \
|
||||
void *km; \
|
||||
} kmp_##name##_t; \
|
||||
SCOPE kmp_##name##_t *kmp_init_##name(void *km) { \
|
||||
kmp_##name##_t *mp; \
|
||||
KCALLOC(km, mp, 1); \
|
||||
mp->km = km; \
|
||||
return mp; \
|
||||
} \
|
||||
SCOPE void kmp_destroy_##name(kmp_##name##_t *mp) { \
|
||||
size_t k; \
|
||||
for (k = 0; k < mp->n; ++k) kfree(mp->km, mp->buf[k]); \
|
||||
kfree(mp->km, mp->buf); kfree(mp->km, mp); \
|
||||
} \
|
||||
SCOPE kmptype_t *kmp_alloc_##name(kmp_##name##_t *mp) { \
|
||||
++mp->cnt; \
|
||||
if (mp->n == 0) return (kmptype_t*)kcalloc(mp->km, 1, sizeof(kmptype_t)); \
|
||||
return mp->buf[--mp->n]; \
|
||||
} \
|
||||
SCOPE void kmp_free_##name(kmp_##name##_t *mp, kmptype_t *p) { \
|
||||
--mp->cnt; \
|
||||
if (mp->n == mp->max) KEXPAND(mp->km, mp->buf, mp->max); \
|
||||
mp->buf[mp->n++] = p; \
|
||||
}
|
||||
|
||||
#define KALLOC_POOL_INIT(name, kmptype_t) \
|
||||
KALLOC_POOL_INIT2(static inline klib_unused, name, kmptype_t)
|
||||
|
||||
#endif
|
||||
|
||||
@@ -0,0 +1,120 @@
|
||||
#ifndef KETOPT_H
|
||||
#define KETOPT_H
|
||||
|
||||
#include <string.h> /* for strchr() and strncmp() */
|
||||
|
||||
#define ko_no_argument 0
|
||||
#define ko_required_argument 1
|
||||
#define ko_optional_argument 2
|
||||
|
||||
typedef struct {
|
||||
int ind; /* equivalent to optind */
|
||||
int opt; /* equivalent to optopt */
|
||||
char *arg; /* equivalent to optarg */
|
||||
int longidx; /* index of a long option; or -1 if short */
|
||||
/* private variables not intended for external uses */
|
||||
int i, pos, n_args;
|
||||
} ketopt_t;
|
||||
|
||||
typedef struct {
|
||||
char *name;
|
||||
int has_arg;
|
||||
int val;
|
||||
} ko_longopt_t;
|
||||
|
||||
static ketopt_t KETOPT_INIT = { 1, 0, 0, -1, 1, 0, 0 };
|
||||
|
||||
static void ketopt_permute(char *argv[], int j, int n) /* move argv[j] over n elements to the left */
|
||||
{
|
||||
int k;
|
||||
char *p = argv[j];
|
||||
for (k = 0; k < n; ++k)
|
||||
argv[j - k] = argv[j - k - 1];
|
||||
argv[j - k] = p;
|
||||
}
|
||||
|
||||
/**
|
||||
* Parse command-line options and arguments
|
||||
*
|
||||
* This fuction has a similar interface to GNU's getopt_long(). Each call
|
||||
* parses one option and returns the option name. s->arg points to the option
|
||||
* argument if present. The function returns -1 when all command-line arguments
|
||||
* are parsed. In this case, s->ind is the index of the first non-option
|
||||
* argument.
|
||||
*
|
||||
* @param s status; shall be initialized to KETOPT_INIT on the first call
|
||||
* @param argc length of argv[]
|
||||
* @param argv list of command-line arguments; argv[0] is ignored
|
||||
* @param permute non-zero to move options ahead of non-option arguments
|
||||
* @param ostr option string
|
||||
* @param longopts long options
|
||||
*
|
||||
* @return ASCII for a short option; ko_longopt_t::val for a long option; -1 if
|
||||
* argv[] is fully processed; '?' for an unknown option or an ambiguous
|
||||
* long option; ':' if an option argument is missing
|
||||
*/
|
||||
static int ketopt(ketopt_t *s, int argc, char *argv[], int permute, const char *ostr, const ko_longopt_t *longopts)
|
||||
{
|
||||
int opt = -1, i0, j;
|
||||
if (permute) {
|
||||
while (s->i < argc && (argv[s->i][0] != '-' || argv[s->i][1] == '\0'))
|
||||
++s->i, ++s->n_args;
|
||||
}
|
||||
s->arg = 0, s->longidx = -1, i0 = s->i;
|
||||
if (s->i >= argc || argv[s->i][0] != '-' || argv[s->i][1] == '\0') {
|
||||
s->ind = s->i - s->n_args;
|
||||
return -1;
|
||||
}
|
||||
if (argv[s->i][0] == '-' && argv[s->i][1] == '-') { /* "--" or a long option */
|
||||
if (argv[s->i][2] == '\0') { /* a bare "--" */
|
||||
ketopt_permute(argv, s->i, s->n_args);
|
||||
++s->i, s->ind = s->i - s->n_args;
|
||||
return -1;
|
||||
}
|
||||
s->opt = 0, opt = '?', s->pos = -1;
|
||||
if (longopts) { /* parse long options */
|
||||
int k, n_exact = 0, n_partial = 0;
|
||||
const ko_longopt_t *o = 0, *o_exact = 0, *o_partial = 0;
|
||||
for (j = 2; argv[s->i][j] != '\0' && argv[s->i][j] != '='; ++j) {} /* find the end of the option name */
|
||||
for (k = 0; longopts[k].name != 0; ++k)
|
||||
if (strncmp(&argv[s->i][2], longopts[k].name, j - 2) == 0) {
|
||||
if (longopts[k].name[j - 2] == 0) ++n_exact, o_exact = &longopts[k];
|
||||
else ++n_partial, o_partial = &longopts[k];
|
||||
}
|
||||
if (n_exact > 1 || (n_exact == 0 && n_partial > 1)) return '?';
|
||||
o = n_exact == 1? o_exact : n_partial == 1? o_partial : 0;
|
||||
if (o) {
|
||||
s->opt = opt = o->val, s->longidx = o - longopts;
|
||||
if (argv[s->i][j] == '=') s->arg = &argv[s->i][j + 1];
|
||||
if (o->has_arg == 1 && argv[s->i][j] == '\0') {
|
||||
if (s->i < argc - 1) s->arg = argv[++s->i];
|
||||
else opt = ':'; /* missing option argument */
|
||||
}
|
||||
}
|
||||
}
|
||||
} else { /* a short option */
|
||||
char *p;
|
||||
if (s->pos == 0) s->pos = 1;
|
||||
opt = s->opt = argv[s->i][s->pos++];
|
||||
p = strchr((char*)ostr, opt);
|
||||
if (p == 0) {
|
||||
opt = '?'; /* unknown option */
|
||||
} else if (p[1] == ':') {
|
||||
if (argv[s->i][s->pos] == 0) {
|
||||
if (s->i < argc - 1) s->arg = argv[++s->i];
|
||||
else opt = ':'; /* missing option argument */
|
||||
} else s->arg = &argv[s->i][s->pos];
|
||||
s->pos = -1;
|
||||
}
|
||||
}
|
||||
if (s->pos < 0 || argv[s->i][s->pos] == 0) {
|
||||
++s->i, s->pos = 0;
|
||||
if (s->n_args > 0) /* permute */
|
||||
for (j = i0; j < s->i; ++j)
|
||||
ketopt_permute(argv, j, s->n_args);
|
||||
}
|
||||
s->ind = s->i - s->n_args;
|
||||
return opt;
|
||||
}
|
||||
|
||||
#endif
|
||||
@@ -0,0 +1,474 @@
|
||||
/* The MIT License
|
||||
|
||||
Copyright (c) 2019 by Attractive Chaos <attractor@live.co.uk>
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining
|
||||
a copy of this software and associated documentation files (the
|
||||
"Software"), to deal in the Software without restriction, including
|
||||
without limitation the rights to use, copy, modify, merge, publish,
|
||||
distribute, sublicense, and/or sell copies of the Software, and to
|
||||
permit persons to whom the Software is furnished to do so, subject to
|
||||
the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be
|
||||
included in all copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
|
||||
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
|
||||
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
|
||||
BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
|
||||
ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
|
||||
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
*/
|
||||
|
||||
/* An example:
|
||||
|
||||
#include <stdio.h>
|
||||
#include <string.h>
|
||||
#include <stdlib.h>
|
||||
#include "krmq.h"
|
||||
|
||||
struct my_node {
|
||||
char key;
|
||||
KRMQ_HEAD(struct my_node) head;
|
||||
};
|
||||
#define my_cmp(p, q) (((q)->key < (p)->key) - ((p)->key < (q)->key))
|
||||
KRMQ_INIT(my, struct my_node, head, my_cmp)
|
||||
|
||||
int main(void) {
|
||||
const char *str = "MNOLKQOPHIA"; // from wiki, except a duplicate
|
||||
struct my_node *root = 0;
|
||||
int i, l = strlen(str);
|
||||
for (i = 0; i < l; ++i) { // insert in the input order
|
||||
struct my_node *q, *p = malloc(sizeof(*p));
|
||||
p->key = str[i];
|
||||
q = krmq_insert(my, &root, p, 0);
|
||||
if (p != q) free(p); // if already present, free
|
||||
}
|
||||
krmq_itr_t(my) itr;
|
||||
krmq_itr_first(my, root, &itr); // place at first
|
||||
do { // traverse
|
||||
const struct my_node *p = krmq_at(&itr);
|
||||
putchar(p->key);
|
||||
free((void*)p); // free node
|
||||
} while (krmq_itr_next(my, &itr));
|
||||
putchar('\n');
|
||||
return 0;
|
||||
}
|
||||
*/
|
||||
|
||||
#ifndef KRMQ_H
|
||||
#define KRMQ_H
|
||||
|
||||
#ifdef __STRICT_ANSI__
|
||||
#define inline __inline__
|
||||
#endif
|
||||
|
||||
#define KRMQ_MAX_DEPTH 64
|
||||
|
||||
#define krmq_size(head, p) ((p)? (p)->head.size : 0)
|
||||
#define krmq_size_child(head, q, i) ((q)->head.p[(i)]? (q)->head.p[(i)]->head.size : 0)
|
||||
|
||||
#define KRMQ_HEAD(__type) \
|
||||
struct { \
|
||||
__type *p[2], *s; \
|
||||
signed char balance; /* balance factor */ \
|
||||
unsigned size; /* #elements in subtree */ \
|
||||
}
|
||||
|
||||
#define __KRMQ_FIND(suf, __scope, __type, __head, __cmp) \
|
||||
__scope __type *krmq_find_##suf(const __type *root, const __type *x, unsigned *cnt_) { \
|
||||
const __type *p = root; \
|
||||
unsigned cnt = 0; \
|
||||
while (p != 0) { \
|
||||
int cmp; \
|
||||
cmp = __cmp(x, p); \
|
||||
if (cmp >= 0) cnt += krmq_size_child(__head, p, 0) + 1; \
|
||||
if (cmp < 0) p = p->__head.p[0]; \
|
||||
else if (cmp > 0) p = p->__head.p[1]; \
|
||||
else break; \
|
||||
} \
|
||||
if (cnt_) *cnt_ = cnt; \
|
||||
return (__type*)p; \
|
||||
} \
|
||||
__scope __type *krmq_interval_##suf(const __type *root, const __type *x, __type **lower, __type **upper) { \
|
||||
const __type *p = root, *l = 0, *u = 0; \
|
||||
while (p != 0) { \
|
||||
int cmp; \
|
||||
cmp = __cmp(x, p); \
|
||||
if (cmp < 0) u = p, p = p->__head.p[0]; \
|
||||
else if (cmp > 0) l = p, p = p->__head.p[1]; \
|
||||
else { l = u = p; break; } \
|
||||
} \
|
||||
if (lower) *lower = (__type*)l; \
|
||||
if (upper) *upper = (__type*)u; \
|
||||
return (__type*)p; \
|
||||
}
|
||||
|
||||
#define __KRMQ_RMQ(suf, __scope, __type, __head, __cmp, __lt2) \
|
||||
__scope __type *krmq_rmq_##suf(const __type *root, const __type *lo, const __type *up) { /* CLOSED interval */ \
|
||||
const __type *p = root, *path[2][KRMQ_MAX_DEPTH], *min; \
|
||||
int plen[2] = {0, 0}, pcmp[2][KRMQ_MAX_DEPTH], i, cmp, lca; \
|
||||
if (root == 0) return 0; \
|
||||
while (p) { \
|
||||
cmp = __cmp(lo, p); \
|
||||
path[0][plen[0]] = p, pcmp[0][plen[0]++] = cmp; \
|
||||
if (cmp < 0) p = p->__head.p[0]; \
|
||||
else if (cmp > 0) p = p->__head.p[1]; \
|
||||
else break; \
|
||||
} \
|
||||
p = root; \
|
||||
while (p) { \
|
||||
cmp = __cmp(up, p); \
|
||||
path[1][plen[1]] = p, pcmp[1][plen[1]++] = cmp; \
|
||||
if (cmp < 0) p = p->__head.p[0]; \
|
||||
else if (cmp > 0) p = p->__head.p[1]; \
|
||||
else break; \
|
||||
} \
|
||||
for (i = 0; i < plen[0] && i < plen[1]; ++i) /* find the LCA */ \
|
||||
if (path[0][i] == path[1][i] && pcmp[0][i] <= 0 && pcmp[1][i] >= 0) \
|
||||
break; \
|
||||
if (i == plen[0] || i == plen[1]) return 0; /* no elements in the closed interval */ \
|
||||
lca = i, min = path[0][lca]; \
|
||||
for (i = lca + 1; i < plen[0]; ++i) { \
|
||||
if (pcmp[0][i] <= 0) { \
|
||||
if (__lt2(path[0][i], min)) min = path[0][i]; \
|
||||
if (path[0][i]->__head.p[1] && __lt2(path[0][i]->__head.p[1]->__head.s, min)) \
|
||||
min = path[0][i]->__head.p[1]->__head.s; \
|
||||
} \
|
||||
} \
|
||||
for (i = lca + 1; i < plen[1]; ++i) { \
|
||||
if (pcmp[1][i] >= 0) { \
|
||||
if (__lt2(path[1][i], min)) min = path[1][i]; \
|
||||
if (path[1][i]->__head.p[0] && __lt2(path[1][i]->__head.p[0]->__head.s, min)) \
|
||||
min = path[1][i]->__head.p[0]->__head.s; \
|
||||
} \
|
||||
} \
|
||||
return (__type*)min; \
|
||||
}
|
||||
|
||||
#define __KRMQ_ROTATE(suf, __type, __head, __lt2) \
|
||||
/* */ \
|
||||
static inline void krmq_update_min_##suf(__type *p, const __type *q, const __type *r) { \
|
||||
p->__head.s = !q || __lt2(p, q->__head.s)? p : q->__head.s; \
|
||||
p->__head.s = !r || __lt2(p->__head.s, r->__head.s)? p->__head.s : r->__head.s; \
|
||||
} \
|
||||
/* one rotation: (a,(b,c)q)p => ((a,b)p,c)q */ \
|
||||
static inline __type *krmq_rotate1_##suf(__type *p, int dir) { /* dir=0 to left; dir=1 to right */ \
|
||||
int opp = 1 - dir; /* opposite direction */ \
|
||||
__type *q = p->__head.p[opp], *s = p->__head.s; \
|
||||
unsigned size_p = p->__head.size; \
|
||||
p->__head.size -= q->__head.size - krmq_size_child(__head, q, dir); \
|
||||
q->__head.size = size_p; \
|
||||
krmq_update_min_##suf(p, p->__head.p[dir], q->__head.p[dir]); \
|
||||
q->__head.s = s; \
|
||||
p->__head.p[opp] = q->__head.p[dir]; \
|
||||
q->__head.p[dir] = p; \
|
||||
return q; \
|
||||
} \
|
||||
/* two consecutive rotations: (a,((b,c)r,d)q)p => ((a,b)p,(c,d)q)r */ \
|
||||
static inline __type *krmq_rotate2_##suf(__type *p, int dir) { \
|
||||
int b1, opp = 1 - dir; \
|
||||
__type *q = p->__head.p[opp], *r = q->__head.p[dir], *s = p->__head.s; \
|
||||
unsigned size_x_dir = krmq_size_child(__head, r, dir); \
|
||||
r->__head.size = p->__head.size; \
|
||||
p->__head.size -= q->__head.size - size_x_dir; \
|
||||
q->__head.size -= size_x_dir + 1; \
|
||||
krmq_update_min_##suf(p, p->__head.p[dir], r->__head.p[dir]); \
|
||||
krmq_update_min_##suf(q, q->__head.p[opp], r->__head.p[opp]); \
|
||||
r->__head.s = s; \
|
||||
p->__head.p[opp] = r->__head.p[dir]; \
|
||||
r->__head.p[dir] = p; \
|
||||
q->__head.p[dir] = r->__head.p[opp]; \
|
||||
r->__head.p[opp] = q; \
|
||||
b1 = dir == 0? +1 : -1; \
|
||||
if (r->__head.balance == b1) q->__head.balance = 0, p->__head.balance = -b1; \
|
||||
else if (r->__head.balance == 0) q->__head.balance = p->__head.balance = 0; \
|
||||
else q->__head.balance = b1, p->__head.balance = 0; \
|
||||
r->__head.balance = 0; \
|
||||
return r; \
|
||||
}
|
||||
|
||||
#define __KRMQ_INSERT(suf, __scope, __type, __head, __cmp, __lt2) \
|
||||
__scope __type *krmq_insert_##suf(__type **root_, __type *x, unsigned *cnt_) { \
|
||||
unsigned char stack[KRMQ_MAX_DEPTH]; \
|
||||
__type *path[KRMQ_MAX_DEPTH]; \
|
||||
__type *bp, *bq; \
|
||||
__type *p, *q, *r = 0; /* _r_ is potentially the new root */ \
|
||||
int i, which = 0, top, b1, path_len; \
|
||||
unsigned cnt = 0; \
|
||||
bp = *root_, bq = 0; \
|
||||
/* find the insertion location */ \
|
||||
for (p = bp, q = bq, top = path_len = 0; p; q = p, p = p->__head.p[which]) { \
|
||||
int cmp; \
|
||||
cmp = __cmp(x, p); \
|
||||
if (cmp >= 0) cnt += krmq_size_child(__head, p, 0) + 1; \
|
||||
if (cmp == 0) { \
|
||||
if (cnt_) *cnt_ = cnt; \
|
||||
return p; \
|
||||
} \
|
||||
if (p->__head.balance != 0) \
|
||||
bq = q, bp = p, top = 0; \
|
||||
stack[top++] = which = (cmp > 0); \
|
||||
path[path_len++] = p; \
|
||||
} \
|
||||
if (cnt_) *cnt_ = cnt; \
|
||||
x->__head.balance = 0, x->__head.size = 1, x->__head.p[0] = x->__head.p[1] = 0, x->__head.s = x; \
|
||||
if (q == 0) *root_ = x; \
|
||||
else q->__head.p[which] = x; \
|
||||
if (bp == 0) return x; \
|
||||
for (i = 0; i < path_len; ++i) ++path[i]->__head.size; \
|
||||
for (i = path_len - 1; i >= 0; --i) { \
|
||||
krmq_update_min_##suf(path[i], path[i]->__head.p[0], path[i]->__head.p[1]); \
|
||||
if (path[i]->__head.s != x) break; \
|
||||
} \
|
||||
for (p = bp, top = 0; p != x; p = p->__head.p[stack[top]], ++top) /* update balance factors */ \
|
||||
if (stack[top] == 0) --p->__head.balance; \
|
||||
else ++p->__head.balance; \
|
||||
if (bp->__head.balance > -2 && bp->__head.balance < 2) return x; /* no re-balance needed */ \
|
||||
/* re-balance */ \
|
||||
which = (bp->__head.balance < 0); \
|
||||
b1 = which == 0? +1 : -1; \
|
||||
q = bp->__head.p[1 - which]; \
|
||||
if (q->__head.balance == b1) { \
|
||||
r = krmq_rotate1_##suf(bp, which); \
|
||||
q->__head.balance = bp->__head.balance = 0; \
|
||||
} else r = krmq_rotate2_##suf(bp, which); \
|
||||
if (bq == 0) *root_ = r; \
|
||||
else bq->__head.p[bp != bq->__head.p[0]] = r; \
|
||||
return x; \
|
||||
}
|
||||
|
||||
#define __KRMQ_ERASE(suf, __scope, __type, __head, __cmp, __lt2) \
|
||||
__scope __type *krmq_erase_##suf(__type **root_, const __type *x, unsigned *cnt_) { \
|
||||
__type *p, *path[KRMQ_MAX_DEPTH], fake; \
|
||||
unsigned char dir[KRMQ_MAX_DEPTH]; \
|
||||
int i, d = 0, cmp; \
|
||||
unsigned cnt = 0; \
|
||||
fake = **root_, fake.__head.p[0] = *root_, fake.__head.p[1] = 0; \
|
||||
if (cnt_) *cnt_ = 0; \
|
||||
if (x) { \
|
||||
for (cmp = -1, p = &fake; cmp; cmp = __cmp(x, p)) { \
|
||||
int which = (cmp > 0); \
|
||||
if (cmp > 0) cnt += krmq_size_child(__head, p, 0) + 1; \
|
||||
dir[d] = which; \
|
||||
path[d++] = p; \
|
||||
p = p->__head.p[which]; \
|
||||
if (p == 0) { \
|
||||
if (cnt_) *cnt_ = 0; \
|
||||
return 0; \
|
||||
} \
|
||||
} \
|
||||
cnt += krmq_size_child(__head, p, 0) + 1; /* because p==x is not counted */ \
|
||||
} else { \
|
||||
for (p = &fake, cnt = 1; p; p = p->__head.p[0]) \
|
||||
dir[d] = 0, path[d++] = p; \
|
||||
p = path[--d]; \
|
||||
} \
|
||||
if (cnt_) *cnt_ = cnt; \
|
||||
for (i = 1; i < d; ++i) --path[i]->__head.size; \
|
||||
if (p->__head.p[1] == 0) { /* ((1,.)2,3)4 => (1,3)4; p=2 */ \
|
||||
path[d-1]->__head.p[dir[d-1]] = p->__head.p[0]; \
|
||||
} else { \
|
||||
__type *q = p->__head.p[1]; \
|
||||
if (q->__head.p[0] == 0) { /* ((1,2)3,4)5 => ((1)2,4)5; p=3,q=2 */ \
|
||||
q->__head.p[0] = p->__head.p[0]; \
|
||||
q->__head.balance = p->__head.balance; \
|
||||
path[d-1]->__head.p[dir[d-1]] = q; \
|
||||
path[d] = q, dir[d++] = 1; \
|
||||
q->__head.size = p->__head.size - 1; \
|
||||
} else { /* ((1,((.,2)3,4)5)6,7)8 => ((1,(2,4)5)3,7)8; p=6 */ \
|
||||
__type *r; \
|
||||
int e = d++; /* backup _d_ */\
|
||||
for (;;) { \
|
||||
dir[d] = 0; \
|
||||
path[d++] = q; \
|
||||
r = q->__head.p[0]; \
|
||||
if (r->__head.p[0] == 0) break; \
|
||||
q = r; \
|
||||
} \
|
||||
r->__head.p[0] = p->__head.p[0]; \
|
||||
q->__head.p[0] = r->__head.p[1]; \
|
||||
r->__head.p[1] = p->__head.p[1]; \
|
||||
r->__head.balance = p->__head.balance; \
|
||||
path[e-1]->__head.p[dir[e-1]] = r; \
|
||||
path[e] = r, dir[e] = 1; \
|
||||
for (i = e + 1; i < d; ++i) --path[i]->__head.size; \
|
||||
r->__head.size = p->__head.size - 1; \
|
||||
} \
|
||||
} \
|
||||
for (i = d - 1; i >= 0; --i) /* not sure why adding condition "path[i]->__head.s==p" doesn't work */ \
|
||||
krmq_update_min_##suf(path[i], path[i]->__head.p[0], path[i]->__head.p[1]); \
|
||||
while (--d > 0) { \
|
||||
__type *q = path[d]; \
|
||||
int which, other, b1 = 1, b2 = 2; \
|
||||
which = dir[d], other = 1 - which; \
|
||||
if (which) b1 = -b1, b2 = -b2; \
|
||||
q->__head.balance += b1; \
|
||||
if (q->__head.balance == b1) break; \
|
||||
else if (q->__head.balance == b2) { \
|
||||
__type *r = q->__head.p[other]; \
|
||||
if (r->__head.balance == -b1) { \
|
||||
path[d-1]->__head.p[dir[d-1]] = krmq_rotate2_##suf(q, which); \
|
||||
} else { \
|
||||
path[d-1]->__head.p[dir[d-1]] = krmq_rotate1_##suf(q, which); \
|
||||
if (r->__head.balance == 0) { \
|
||||
r->__head.balance = -b1; \
|
||||
q->__head.balance = b1; \
|
||||
break; \
|
||||
} else r->__head.balance = q->__head.balance = 0; \
|
||||
} \
|
||||
} \
|
||||
} \
|
||||
*root_ = fake.__head.p[0]; \
|
||||
return p; \
|
||||
}
|
||||
|
||||
#define krmq_free(__type, __head, __root, __free) do { \
|
||||
__type *_p, *_q; \
|
||||
for (_p = __root; _p; _p = _q) { \
|
||||
if (_p->__head.p[0] == 0) { \
|
||||
_q = _p->__head.p[1]; \
|
||||
__free(_p); \
|
||||
} else { \
|
||||
_q = _p->__head.p[0]; \
|
||||
_p->__head.p[0] = _q->__head.p[1]; \
|
||||
_q->__head.p[1] = _p; \
|
||||
} \
|
||||
} \
|
||||
} while (0)
|
||||
|
||||
#define __KRMQ_ITR(suf, __scope, __type, __head, __cmp) \
|
||||
struct krmq_itr_##suf { \
|
||||
const __type *stack[KRMQ_MAX_DEPTH], **top; \
|
||||
}; \
|
||||
__scope void krmq_itr_first_##suf(const __type *root, struct krmq_itr_##suf *itr) { \
|
||||
const __type *p; \
|
||||
for (itr->top = itr->stack - 1, p = root; p; p = p->__head.p[0]) \
|
||||
*++itr->top = p; \
|
||||
} \
|
||||
__scope int krmq_itr_find_##suf(const __type *root, const __type *x, struct krmq_itr_##suf *itr) { \
|
||||
const __type *p = root; \
|
||||
itr->top = itr->stack - 1; \
|
||||
while (p != 0) { \
|
||||
int cmp; \
|
||||
*++itr->top = p; \
|
||||
cmp = __cmp(x, p); \
|
||||
if (cmp < 0) p = p->__head.p[0]; \
|
||||
else if (cmp > 0) p = p->__head.p[1]; \
|
||||
else break; \
|
||||
} \
|
||||
return p? 1 : 0; \
|
||||
} \
|
||||
__scope int krmq_itr_next_bidir_##suf(struct krmq_itr_##suf *itr, int dir) { \
|
||||
const __type *p; \
|
||||
if (itr->top < itr->stack) return 0; \
|
||||
dir = !!dir; \
|
||||
p = (*itr->top)->__head.p[dir]; \
|
||||
if (p) { /* go down */ \
|
||||
for (; p; p = p->__head.p[!dir]) \
|
||||
*++itr->top = p; \
|
||||
return 1; \
|
||||
} else { /* go up */ \
|
||||
do { \
|
||||
p = *itr->top--; \
|
||||
} while (itr->top >= itr->stack && p == (*itr->top)->__head.p[dir]); \
|
||||
return itr->top < itr->stack? 0 : 1; \
|
||||
} \
|
||||
} \
|
||||
|
||||
/**
|
||||
* Insert a node to the tree
|
||||
*
|
||||
* @param suf name suffix used in KRMQ_INIT()
|
||||
* @param proot pointer to the root of the tree (in/out: root may change)
|
||||
* @param x node to insert (in)
|
||||
* @param cnt number of nodes smaller than or equal to _x_; can be NULL (out)
|
||||
*
|
||||
* @return _x_ if not present in the tree, or the node equal to x.
|
||||
*/
|
||||
#define krmq_insert(suf, proot, x, cnt) krmq_insert_##suf(proot, x, cnt)
|
||||
|
||||
/**
|
||||
* Find a node in the tree
|
||||
*
|
||||
* @param suf name suffix used in KRMQ_INIT()
|
||||
* @param root root of the tree
|
||||
* @param x node value to find (in)
|
||||
* @param cnt number of nodes smaller than or equal to _x_; can be NULL (out)
|
||||
*
|
||||
* @return node equal to _x_ if present, or NULL if absent
|
||||
*/
|
||||
#define krmq_find(suf, root, x, cnt) krmq_find_##suf(root, x, cnt)
|
||||
#define krmq_interval(suf, root, x, lower, upper) krmq_interval_##suf(root, x, lower, upper)
|
||||
#define krmq_rmq(suf, root, lo, up) krmq_rmq_##suf(root, lo, up)
|
||||
|
||||
/**
|
||||
* Delete a node from the tree
|
||||
*
|
||||
* @param suf name suffix used in KRMQ_INIT()
|
||||
* @param proot pointer to the root of the tree (in/out: root may change)
|
||||
* @param x node value to delete; if NULL, delete the first node (in)
|
||||
*
|
||||
* @return node removed from the tree if present, or NULL if absent
|
||||
*/
|
||||
#define krmq_erase(suf, proot, x, cnt) krmq_erase_##suf(proot, x, cnt)
|
||||
#define krmq_erase_first(suf, proot) krmq_erase_##suf(proot, 0, 0)
|
||||
|
||||
#define krmq_itr_t(suf) struct krmq_itr_##suf
|
||||
|
||||
/**
|
||||
* Place the iterator at the smallest object
|
||||
*
|
||||
* @param suf name suffix used in KRMQ_INIT()
|
||||
* @param root root of the tree
|
||||
* @param itr iterator
|
||||
*/
|
||||
#define krmq_itr_first(suf, root, itr) krmq_itr_first_##suf(root, itr)
|
||||
|
||||
/**
|
||||
* Place the iterator at the object equal to or greater than the query
|
||||
*
|
||||
* @param suf name suffix used in KRMQ_INIT()
|
||||
* @param root root of the tree
|
||||
* @param x query (in)
|
||||
* @param itr iterator (out)
|
||||
*
|
||||
* @return 1 if find; 0 otherwise. krmq_at(itr) is NULL if and only if query is
|
||||
* larger than all objects in the tree
|
||||
*/
|
||||
#define krmq_itr_find(suf, root, x, itr) krmq_itr_find_##suf(root, x, itr)
|
||||
|
||||
/**
|
||||
* Move to the next object in order
|
||||
*
|
||||
* @param itr iterator (modified)
|
||||
*
|
||||
* @return 1 if there is a next object; 0 otherwise
|
||||
*/
|
||||
#define krmq_itr_next(suf, itr) krmq_itr_next_bidir_##suf(itr, 1)
|
||||
#define krmq_itr_prev(suf, itr) krmq_itr_next_bidir_##suf(itr, 0)
|
||||
|
||||
/**
|
||||
* Return the pointer at the iterator
|
||||
*
|
||||
* @param itr iterator
|
||||
*
|
||||
* @return pointer if present; NULL otherwise
|
||||
*/
|
||||
#define krmq_at(itr) ((itr)->top < (itr)->stack? 0 : *(itr)->top)
|
||||
|
||||
#define KRMQ_INIT2(suf, __scope, __type, __head, __cmp, __lt2) \
|
||||
__KRMQ_FIND(suf, __scope, __type, __head, __cmp) \
|
||||
__KRMQ_RMQ(suf, __scope, __type, __head, __cmp, __lt2) \
|
||||
__KRMQ_ROTATE(suf, __type, __head, __lt2) \
|
||||
__KRMQ_INSERT(suf, __scope, __type, __head, __cmp, __lt2) \
|
||||
__KRMQ_ERASE(suf, __scope, __type, __head, __cmp, __lt2) \
|
||||
__KRMQ_ITR(suf, __scope, __type, __head, __cmp)
|
||||
|
||||
#define KRMQ_INIT(suf, __type, __head, __cmp, __lt2) \
|
||||
KRMQ_INIT2(suf,, __type, __head, __cmp, __lt2)
|
||||
|
||||
#endif
|
||||
@@ -37,6 +37,14 @@
|
||||
#define KS_SEP_LINE 2 // line separator: "\n" (Unix) or "\r\n" (Windows)
|
||||
#define KS_SEP_MAX 2
|
||||
|
||||
#ifndef klib_unused
|
||||
#if (defined __clang__ && __clang_major__ >= 3) || (defined __GNUC__ && __GNUC__ >= 3)
|
||||
#define klib_unused __attribute__ ((__unused__))
|
||||
#else
|
||||
#define klib_unused
|
||||
#endif
|
||||
#endif /* klib_unused */
|
||||
|
||||
#define __KS_TYPE(type_t) \
|
||||
typedef struct __kstream_t { \
|
||||
int begin, end; \
|
||||
@@ -64,7 +72,7 @@
|
||||
}
|
||||
|
||||
#define __KS_INLINED(__read) \
|
||||
static inline int ks_getc(kstream_t *ks) \
|
||||
static inline klib_unused int ks_getc(kstream_t *ks) \
|
||||
{ \
|
||||
if (ks->is_eof && ks->begin >= ks->end) return -1; \
|
||||
if (ks->begin >= ks->end) { \
|
||||
@@ -81,7 +89,7 @@
|
||||
#ifndef KSTRING_T
|
||||
#define KSTRING_T kstring_t
|
||||
typedef struct __kstring_t {
|
||||
unsigned l, m;
|
||||
size_t l, m;
|
||||
char *s;
|
||||
} kstring_t;
|
||||
#endif
|
||||
|
||||
@@ -37,9 +37,26 @@ typedef struct {
|
||||
int depth;
|
||||
} ks_isort_stack_t;
|
||||
|
||||
#define KSORT_SWAP(type_t, a, b) { register type_t t=(a); (a)=(b); (b)=t; }
|
||||
#define KSORT_SWAP(type_t, a, b) { type_t t=(a); (a)=(b); (b)=t; }
|
||||
|
||||
#define KSORT_INIT(name, type_t, __sort_lt) \
|
||||
#define KSORT_INIT(name, type_t, __sort_lt) \
|
||||
void ks_heapdown_##name(size_t i, size_t n, type_t l[]) \
|
||||
{ \
|
||||
size_t k = i; \
|
||||
type_t tmp = l[i]; \
|
||||
while ((k = (k << 1) + 1) < n) { \
|
||||
if (k != n - 1 && __sort_lt(l[k], l[k+1])) ++k; \
|
||||
if (__sort_lt(l[k], tmp)) break; \
|
||||
l[i] = l[k]; i = k; \
|
||||
} \
|
||||
l[i] = tmp; \
|
||||
} \
|
||||
void ks_heapmake_##name(size_t lsize, type_t l[]) \
|
||||
{ \
|
||||
size_t i; \
|
||||
for (i = (lsize >> 1) - 1; i != (size_t)(-1); --i) \
|
||||
ks_heapdown_##name(i, lsize, l); \
|
||||
} \
|
||||
type_t ks_ksmall_##name(size_t n, type_t arr[], size_t kk) \
|
||||
{ \
|
||||
type_t *low, *high, *k, *ll, *hh, *mid; \
|
||||
|
||||
@@ -14,6 +14,14 @@
|
||||
#define KSW_EZ_REV_CIGAR 0x80 // reverse CIGAR in the output
|
||||
#define KSW_EZ_SPLICE_FOR 0x100
|
||||
#define KSW_EZ_SPLICE_REV 0x200
|
||||
#define KSW_EZ_SPLICE_FLANK 0x400
|
||||
|
||||
// The subset of CIGAR operators used by ksw code.
|
||||
// Use MM_CIGAR_* from minimap.h if you need the full list.
|
||||
#define KSW_CIGAR_MATCH 0
|
||||
#define KSW_CIGAR_INS 1
|
||||
#define KSW_CIGAR_DEL 2
|
||||
#define KSW_CIGAR_N_SKIP 3
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
@@ -26,6 +34,7 @@ typedef struct {
|
||||
int mte, mte_q; // max score when reaching the end of target
|
||||
int score; // max score reaching both ends; may be KSW_NEG_INF
|
||||
int m_cigar, n_cigar;
|
||||
int reach_end;
|
||||
uint32_t *cigar;
|
||||
} ksw_extz_t;
|
||||
|
||||
@@ -46,17 +55,20 @@ typedef struct {
|
||||
* @param flag flag (see KSW_EZ_* macros)
|
||||
* @param ez (out) scores and cigar
|
||||
*/
|
||||
void ksw_extz(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int flag, ksw_extz_t *ez);
|
||||
void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int flag, ksw_extz_t *ez);
|
||||
void ksw_extz(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int w, int zdrop, int flag, ksw_extz_t *ez);
|
||||
|
||||
void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez);
|
||||
|
||||
void ksw_extd(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t gapo, int8_t gape, int8_t gapo2, int8_t gape2, int w, int zdrop, int flag, ksw_extz_t *ez);
|
||||
|
||||
void ksw_extd2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t gapo, int8_t gape, int8_t gapo2, int8_t gape2, int w, int zdrop, int flag, ksw_extz_t *ez);
|
||||
int8_t gapo, int8_t gape, int8_t gapo2, int8_t gape2, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez);
|
||||
|
||||
void ksw_exts2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t gapo, int8_t gape, int8_t gapo2, int8_t noncan, int zdrop, int flag, ksw_extz_t *ez);
|
||||
int8_t gapo, int8_t gape, int8_t gapo2, int8_t noncan, int zdrop, int8_t junc_bonus, int flag, const uint8_t *junc, ksw_extz_t *ez);
|
||||
|
||||
void ksw_extf2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t mch, int8_t mis, int8_t e, int w, int xdrop, ksw_extz_t *ez);
|
||||
|
||||
@@ -111,7 +123,7 @@ static inline uint32_t *ksw_push_cigar(void *km, int *n_cigar, int *m_cigar, uin
|
||||
// bit 0-2: which type gets the max - 0 for H, 1 for E, 2 for F, 3 for \tilde{E} and 4 for \tilde{F}
|
||||
// bit 3/0x08: 1 if a continuation on the E state (bit 5/0x20 for a continuation on \tilde{E})
|
||||
// bit 4/0x10: 1 if a continuation on the F state (bit 6/0x40 for a continuation on \tilde{F})
|
||||
static inline void ksw_backtrack(void *km, int is_rot, int is_rev, int with_N, const uint8_t *p, const int *off, const int *off_end, int n_col, int i0, int j0,
|
||||
static inline void ksw_backtrack(void *km, int is_rot, int is_rev, int min_intron_len, const uint8_t *p, const int *off, const int *off_end, int n_col, int i0, int j0,
|
||||
int *m_cigar_, int *n_cigar_, uint32_t **cigar_)
|
||||
{ // p[] - lower 3 bits: which type gets the max; bit
|
||||
int n_cigar = 0, m_cigar = *m_cigar_, i = i0, j = j0, r, state = 0;
|
||||
@@ -122,23 +134,23 @@ static inline void ksw_backtrack(void *km, int is_rot, int is_rev, int with_N, c
|
||||
r = i + j;
|
||||
if (i < off[r]) force_state = 2;
|
||||
if (off_end && i > off_end[r]) force_state = 1;
|
||||
tmp = force_state < 0? p[r * n_col + i - off[r]] : 0;
|
||||
tmp = force_state < 0? p[(size_t)r * n_col + i - off[r]] : 0;
|
||||
} else {
|
||||
if (j < off[i]) force_state = 2;
|
||||
if (off_end && j > off_end[i]) force_state = 1;
|
||||
tmp = force_state < 0? p[i * n_col + j - off[i]] : 0;
|
||||
tmp = force_state < 0? p[(size_t)i * n_col + j - off[i]] : 0;
|
||||
}
|
||||
if (state == 0) state = tmp & 7; // if requesting the H state, find state one maximizes it.
|
||||
else if (!(tmp >> (state + 2) & 1)) state = 0; // if requesting other states, _state_ stays the same if it is a continuation; otherwise, set to H
|
||||
if (state == 0) state = tmp & 7; // TODO: probably this line can be merged into the "else if" line right above; not 100% sure
|
||||
if (force_state >= 0) state = force_state;
|
||||
if (state == 0) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, 0, 1), --i, --j; // match
|
||||
else if (state == 1 || (state == 3 && !with_N)) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, 2, 1), --i; // deletion
|
||||
else if (state == 3 && with_N) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, 3, 1), --i; // intron
|
||||
else cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, 1, 1), --j; // insertion
|
||||
if (state == 0) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, KSW_CIGAR_MATCH, 1), --i, --j;
|
||||
else if (state == 1 || (state == 3 && min_intron_len <= 0)) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, KSW_CIGAR_DEL, 1), --i;
|
||||
else if (state == 3 && min_intron_len > 0) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, KSW_CIGAR_N_SKIP, 1), --i;
|
||||
else cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, KSW_CIGAR_INS, 1), --j;
|
||||
}
|
||||
if (i >= 0) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, 2, i + 1); // first deletion
|
||||
if (j >= 0) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, 1, j + 1); // first insertion
|
||||
if (i >= 0) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, min_intron_len > 0 && i >= min_intron_len? KSW_CIGAR_N_SKIP : KSW_CIGAR_DEL, i + 1); // first deletion
|
||||
if (j >= 0) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, KSW_CIGAR_INS, j + 1); // first insertion
|
||||
if (!is_rev)
|
||||
for (i = 0; i < n_cigar>>1; ++i) // reverse CIGAR
|
||||
tmp = cigar[i], cigar[i] = cigar[n_cigar-1-i], cigar[n_cigar-1-i] = tmp;
|
||||
@@ -149,7 +161,7 @@ static inline void ksw_reset_extz(ksw_extz_t *ez)
|
||||
{
|
||||
ez->max_q = ez->max_t = ez->mqe_t = ez->mte_q = -1;
|
||||
ez->max = 0, ez->score = ez->mqe = ez->mte = KSW_NEG_INF;
|
||||
ez->n_cigar = 0, ez->zdropped = 0;
|
||||
ez->n_cigar = 0, ez->zdropped = 0, ez->reach_end = 0;
|
||||
}
|
||||
|
||||
static inline int ksw_apply_zdrop(ksw_extz_t *ez, int is_rot, int32_t H, int a, int b, int zdrop, int8_t e)
|
||||
|
||||
+29
-30
@@ -17,18 +17,20 @@
|
||||
void __cpuidex(int cpuid[4], int func_id, int subfunc_id)
|
||||
{
|
||||
#if defined(__x86_64__)
|
||||
asm volatile ("cpuid"
|
||||
__asm__ volatile ("cpuid"
|
||||
: "=a" (cpuid[0]), "=b" (cpuid[1]), "=c" (cpuid[2]), "=d" (cpuid[3])
|
||||
: "0" (func_id), "2" (subfunc_id));
|
||||
#else // on 32bit, ebx can NOT be used as PIC code
|
||||
asm volatile ("xchgl %%ebx, %1; cpuid; xchgl %%ebx, %1"
|
||||
__asm__ volatile ("xchgl %%ebx, %1; cpuid; xchgl %%ebx, %1"
|
||||
: "=a" (cpuid[0]), "=r" (cpuid[1]), "=c" (cpuid[2]), "=d" (cpuid[3])
|
||||
: "0" (func_id), "2" (subfunc_id));
|
||||
#endif
|
||||
}
|
||||
#endif
|
||||
|
||||
int x86_simd(void)
|
||||
static int ksw_simd = -1;
|
||||
|
||||
static int x86_simd(void)
|
||||
{
|
||||
int flag = 0, cpuid[4], max_id;
|
||||
__cpuidex(cpuid, 0, 0);
|
||||
@@ -50,48 +52,45 @@ int x86_simd(void)
|
||||
return flag;
|
||||
}
|
||||
|
||||
void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int flag, ksw_extz_t *ez)
|
||||
void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez)
|
||||
{
|
||||
extern void ksw_extz2_sse2(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int flag, ksw_extz_t *ez);
|
||||
extern void ksw_extz2_sse41(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int flag, ksw_extz_t *ez);
|
||||
unsigned simd;
|
||||
simd = x86_simd();
|
||||
if (simd & SIMD_SSE4_1)
|
||||
ksw_extz2_sse41(km, qlen, query, tlen, target, m, mat, q, e, w, zdrop, flag, ez);
|
||||
else if (simd & SIMD_SSE2)
|
||||
ksw_extz2_sse2(km, qlen, query, tlen, target, m, mat, q, e, w, zdrop, flag, ez);
|
||||
extern void ksw_extz2_sse2(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez);
|
||||
extern void ksw_extz2_sse41(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez);
|
||||
if (ksw_simd < 0) ksw_simd = x86_simd();
|
||||
if (ksw_simd & SIMD_SSE4_1)
|
||||
ksw_extz2_sse41(km, qlen, query, tlen, target, m, mat, q, e, w, zdrop, end_bonus, flag, ez);
|
||||
else if (ksw_simd & SIMD_SSE2)
|
||||
ksw_extz2_sse2(km, qlen, query, tlen, target, m, mat, q, e, w, zdrop, end_bonus, flag, ez);
|
||||
else abort();
|
||||
}
|
||||
|
||||
void ksw_extd2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int flag, ksw_extz_t *ez)
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez)
|
||||
{
|
||||
extern void ksw_extd2_sse2(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int flag, ksw_extz_t *ez);
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez);
|
||||
extern void ksw_extd2_sse41(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int flag, ksw_extz_t *ez);
|
||||
unsigned simd;
|
||||
simd = x86_simd();
|
||||
if (simd & SIMD_SSE4_1)
|
||||
ksw_extd2_sse41(km, qlen, query, tlen, target, m, mat, q, e, q2, e2, w, zdrop, flag, ez);
|
||||
else if (simd & SIMD_SSE2)
|
||||
ksw_extd2_sse2(km, qlen, query, tlen, target, m, mat, q, e, q2, e2, w, zdrop, flag, ez);
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez);
|
||||
if (ksw_simd < 0) ksw_simd = x86_simd();
|
||||
if (ksw_simd & SIMD_SSE4_1)
|
||||
ksw_extd2_sse41(km, qlen, query, tlen, target, m, mat, q, e, q2, e2, w, zdrop, end_bonus, flag, ez);
|
||||
else if (ksw_simd & SIMD_SSE2)
|
||||
ksw_extd2_sse2(km, qlen, query, tlen, target, m, mat, q, e, q2, e2, w, zdrop, end_bonus, flag, ez);
|
||||
else abort();
|
||||
}
|
||||
|
||||
void ksw_exts2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int flag, ksw_extz_t *ez)
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int8_t junc_bonus, int flag, const uint8_t *junc, ksw_extz_t *ez)
|
||||
{
|
||||
extern void ksw_exts2_sse2(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int flag, ksw_extz_t *ez);
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int8_t junc_bonus, int flag, const uint8_t *junc, ksw_extz_t *ez);
|
||||
extern void ksw_exts2_sse41(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int flag, ksw_extz_t *ez);
|
||||
unsigned simd;
|
||||
simd = x86_simd();
|
||||
if (simd & SIMD_SSE4_1)
|
||||
ksw_exts2_sse41(km, qlen, query, tlen, target, m, mat, q, e, q2, noncan, zdrop, flag, ez);
|
||||
else if (simd & SIMD_SSE2)
|
||||
ksw_exts2_sse2(km, qlen, query, tlen, target, m, mat, q, e, q2, noncan, zdrop, flag, ez);
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int8_t junc_bonus, int flag, const uint8_t *junc, ksw_extz_t *ez);
|
||||
if (ksw_simd < 0) ksw_simd = x86_simd();
|
||||
if (ksw_simd & SIMD_SSE4_1)
|
||||
ksw_exts2_sse41(km, qlen, query, tlen, target, m, mat, q, e, q2, noncan, zdrop, junc_bonus, flag, junc, ez);
|
||||
else if (ksw_simd & SIMD_SSE2)
|
||||
ksw_exts2_sse2(km, qlen, query, tlen, target, m, mat, q, e, q2, noncan, zdrop, junc_bonus, flag, junc, ez);
|
||||
else abort();
|
||||
}
|
||||
#endif
|
||||
|
||||
+2319
File diff suppressed because it is too large
Load Diff
@@ -0,0 +1,42 @@
|
||||
/* The MIT License
|
||||
|
||||
Copyright (c) 2018- Dana-Farber Cancer Institute
|
||||
2017-2018 Broad Institute, Inc.
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining
|
||||
a copy of this software and associated documentation files (the
|
||||
"Software"), to deal in the Software without restriction, including
|
||||
without limitation the rights to use, copy, modify, merge, publish,
|
||||
distribute, sublicense, and/or sell copies of the Software, and to
|
||||
permit persons to whom the Software is furnished to do so, subject to
|
||||
the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be
|
||||
included in all copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
|
||||
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
|
||||
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
|
||||
NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
|
||||
BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
|
||||
ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
|
||||
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
Modified Copyright (C) 2021 Intel Corporation
|
||||
Contacts: Saurabh Kalikar <saurabh.kalikar@intel.com>;
|
||||
Vasimuddin Md <vasimuddin.md@intel.com>; Sanchit Misra <sanchit.misra@intel.com>;
|
||||
Chirag Jain <chirag@iisc.ac.in>; Heng Li <hli@jimmy.harvard.edu>
|
||||
*/
|
||||
#include <string.h>
|
||||
#include <stdio.h>
|
||||
#include <assert.h>
|
||||
#include "ksw2.h"
|
||||
#include <immintrin.h>
|
||||
#include <x86intrin.h>
|
||||
#include <smmintrin.h>
|
||||
#include <emmintrin.h>
|
||||
void ksw_extd2_avx512(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez);
|
||||
|
||||
void ksw_extd2_avx2(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez);
|
||||
+25
-11
@@ -4,27 +4,35 @@
|
||||
#include "ksw2.h"
|
||||
|
||||
#ifdef __SSE2__
|
||||
#ifdef USE_SIMDE
|
||||
#include <simde/x86/sse2.h>
|
||||
#else
|
||||
#include <emmintrin.h>
|
||||
#endif
|
||||
|
||||
#ifdef KSW_SSE2_ONLY
|
||||
#undef __SSE4_1__
|
||||
#endif
|
||||
|
||||
#ifdef __SSE4_1__
|
||||
#ifdef USE_SIMDE
|
||||
#include <simde/x86/sse4.1.h>
|
||||
#else
|
||||
#include <smmintrin.h>
|
||||
#endif
|
||||
#endif
|
||||
|
||||
#ifdef KSW_CPU_DISPATCH
|
||||
#ifdef __SSE4_1__
|
||||
void ksw_extd2_sse41(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int flag, ksw_extz_t *ez)
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez)
|
||||
#else
|
||||
void ksw_extd2_sse2(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int flag, ksw_extz_t *ez)
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez)
|
||||
#endif
|
||||
#else
|
||||
void ksw_extd2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int flag, ksw_extz_t *ez)
|
||||
int8_t q, int8_t e, int8_t q2, int8_t e2, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez)
|
||||
#endif // ~KSW_CPU_DISPATCH
|
||||
{
|
||||
#define __dp_code_block1 \
|
||||
@@ -61,7 +69,7 @@ void ksw_extd2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
int with_cigar = !(flag&KSW_EZ_SCORE_ONLY), approx_max = !!(flag&KSW_EZ_APPROX_MAX);
|
||||
int32_t *H = 0, H0 = 0, last_H0_t = 0;
|
||||
uint8_t *qr, *sf, *mem, *mem2 = 0;
|
||||
__m128i q_, q2_, qe_, qe2_, zero_, sc_mch_, sc_mis_, m1_;
|
||||
__m128i q_, q2_, qe_, qe2_, zero_, sc_mch_, sc_mis_, m1_, sc_N_;
|
||||
__m128i *u, *v, *x, *y, *x2, *y2, *s, *p = 0;
|
||||
|
||||
ksw_reset_extz(ez);
|
||||
@@ -76,6 +84,7 @@ void ksw_extd2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
qe2_ = _mm_set1_epi8(q2 + e2);
|
||||
sc_mch_ = _mm_set1_epi8(mat[0]);
|
||||
sc_mis_ = _mm_set1_epi8(mat[1]);
|
||||
sc_N_ = mat[m*m-1] == 0? _mm_set1_epi8(-e2) : _mm_set1_epi8(mat[m*m-1]);
|
||||
m1_ = _mm_set1_epi8(m - 1); // wildcard
|
||||
|
||||
if (w < 0) w = tlen > qlen? tlen : qlen;
|
||||
@@ -110,7 +119,7 @@ void ksw_extd2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
for (t = 0; t < tlen_ * 16; ++t) H[t] = KSW_NEG_INF;
|
||||
}
|
||||
if (with_cigar) {
|
||||
mem2 = (uint8_t*)kmalloc(km, ((qlen + tlen - 1) * n_col_ + 1) * 16);
|
||||
mem2 = (uint8_t*)kmalloc(km, ((size_t)(qlen + tlen - 1) * n_col_ + 1) * 16);
|
||||
p = (__m128i*)(((size_t)mem2 + 15) >> 4 << 4);
|
||||
off = (int*)kmalloc(km, (qlen + tlen - 1) * sizeof(int) * 2);
|
||||
off_end = off + qlen + tlen - 1;
|
||||
@@ -162,10 +171,11 @@ void ksw_extd2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
tmp = _mm_cmpeq_epi8(sq, st);
|
||||
#ifdef __SSE4_1__
|
||||
tmp = _mm_blendv_epi8(sc_mis_, sc_mch_, tmp);
|
||||
tmp = _mm_blendv_epi8(tmp, sc_N_, mask);
|
||||
#else
|
||||
tmp = _mm_or_si128(_mm_andnot_si128(tmp, sc_mis_), _mm_and_si128(tmp, sc_mch_));
|
||||
tmp = _mm_or_si128(_mm_andnot_si128(tmp, sc_mis_), _mm_and_si128(tmp, sc_mch_));
|
||||
tmp = _mm_or_si128(_mm_andnot_si128(mask, tmp), _mm_and_si128(mask, sc_N_));
|
||||
#endif
|
||||
tmp = _mm_andnot_si128(mask, tmp);
|
||||
_mm_storeu_si128((__m128i*)((int8_t*)s + t), tmp);
|
||||
}
|
||||
} else {
|
||||
@@ -216,7 +226,7 @@ void ksw_extd2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
#endif
|
||||
}
|
||||
} else if (!(flag&KSW_EZ_RIGHT)) { // gap left-alignment
|
||||
__m128i *pr = p + r * n_col_ - st_;
|
||||
__m128i *pr = p + (size_t)r * n_col_ - st_;
|
||||
off[r] = st, off_end[r] = en;
|
||||
for (t = st_; t <= en_; ++t) {
|
||||
__m128i d, z, a, b, a2, b2, xt1, x2t1, vt1, ut, tmp;
|
||||
@@ -263,7 +273,7 @@ void ksw_extd2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
_mm_store_si128(&pr[t], d);
|
||||
}
|
||||
} else { // gap right-alignment
|
||||
__m128i *pr = p + r * n_col_ - st_;
|
||||
__m128i *pr = p + (size_t)r * n_col_ - st_;
|
||||
off[r] = st, off_end[r] = en;
|
||||
for (t = st_; t <= en_; ++t) {
|
||||
__m128i d, z, a, b, a2, b2, xt1, x2t1, vt1, ut, tmp;
|
||||
@@ -378,10 +388,14 @@ void ksw_extd2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
if (!approx_max) kfree(km, H);
|
||||
if (with_cigar) { // backtrack
|
||||
int rev_cigar = !!(flag & KSW_EZ_REV_CIGAR);
|
||||
if (!ez->zdropped && !(flag&KSW_EZ_EXTZ_ONLY))
|
||||
if (!ez->zdropped && !(flag&KSW_EZ_EXTZ_ONLY)) {
|
||||
ksw_backtrack(km, 1, rev_cigar, 0, (uint8_t*)p, off, off_end, n_col_*16, tlen-1, qlen-1, &ez->m_cigar, &ez->n_cigar, &ez->cigar);
|
||||
else if (ez->max_t >= 0 && ez->max_q >= 0)
|
||||
} else if (!ez->zdropped && (flag&KSW_EZ_EXTZ_ONLY) && ez->mqe + end_bonus > (int)ez->max) {
|
||||
ez->reach_end = 1;
|
||||
ksw_backtrack(km, 1, rev_cigar, 0, (uint8_t*)p, off, off_end, n_col_*16, ez->mqe_t, qlen-1, &ez->m_cigar, &ez->n_cigar, &ez->cigar);
|
||||
} else if (ez->max_t >= 0 && ez->max_q >= 0) {
|
||||
ksw_backtrack(km, 1, rev_cigar, 0, (uint8_t*)p, off, off_end, n_col_*16, ez->max_t, ez->max_q, &ez->m_cigar, &ez->n_cigar, &ez->cigar);
|
||||
}
|
||||
kfree(km, mem2); kfree(km, off);
|
||||
}
|
||||
}
|
||||
|
||||
+66
-21
@@ -4,27 +4,34 @@
|
||||
#include "ksw2.h"
|
||||
|
||||
#ifdef __SSE2__
|
||||
#ifdef USE_SIMDE
|
||||
#include <simde/x86/sse2.h>
|
||||
#else
|
||||
#include <emmintrin.h>
|
||||
|
||||
#endif
|
||||
#ifdef KSW_SSE2_ONLY
|
||||
#undef __SSE4_1__
|
||||
#endif
|
||||
|
||||
#ifdef __SSE4_1__
|
||||
#ifdef USE_SIMDE
|
||||
#include <simde/x86/sse4.1.h>
|
||||
#else
|
||||
#include <smmintrin.h>
|
||||
#endif
|
||||
#endif
|
||||
|
||||
#ifdef KSW_CPU_DISPATCH
|
||||
#ifdef __SSE4_1__
|
||||
void ksw_exts2_sse41(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int flag, ksw_extz_t *ez)
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int8_t junc_bonus, int flag, const uint8_t *junc, ksw_extz_t *ez)
|
||||
#else
|
||||
void ksw_exts2_sse2(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int flag, ksw_extz_t *ez)
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int8_t junc_bonus, int flag, const uint8_t *junc, ksw_extz_t *ez)
|
||||
#endif
|
||||
#else
|
||||
void ksw_exts2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat,
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int flag, ksw_extz_t *ez)
|
||||
int8_t q, int8_t e, int8_t q2, int8_t noncan, int zdrop, int8_t junc_bonus, int flag, const uint8_t *junc, ksw_extz_t *ez)
|
||||
#endif // ~KSW_CPU_DISPATCH
|
||||
{
|
||||
#define __dp_code_block1 \
|
||||
@@ -59,7 +66,7 @@ void ksw_exts2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
int with_cigar = !(flag&KSW_EZ_SCORE_ONLY), approx_max = !!(flag&KSW_EZ_APPROX_MAX);
|
||||
int32_t *H = 0, H0 = 0, last_H0_t = 0;
|
||||
uint8_t *qr, *sf, *mem, *mem2 = 0;
|
||||
__m128i q_, q2_, qe_, zero_, sc_mch_, sc_mis_, m1_;
|
||||
__m128i q_, q2_, qe_, zero_, sc_mch_, sc_mis_, sc_N_, m1_;
|
||||
__m128i *u, *v, *x, *y, *x2, *s, *p = 0, *donor, *acceptor;
|
||||
|
||||
ksw_reset_extz(ez);
|
||||
@@ -71,6 +78,7 @@ void ksw_exts2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
qe_ = _mm_set1_epi8(q + e);
|
||||
sc_mch_ = _mm_set1_epi8(mat[0]);
|
||||
sc_mis_ = _mm_set1_epi8(mat[1]);
|
||||
sc_N_ = mat[m*m-1] == 0? _mm_set1_epi8(-e) : _mm_set1_epi8(mat[m*m-1]);
|
||||
m1_ = _mm_set1_epi8(m - 1); // wildcard
|
||||
|
||||
tlen_ = (tlen + 15) / 16;
|
||||
@@ -99,7 +107,7 @@ void ksw_exts2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
for (t = 0; t < tlen_ * 16; ++t) H[t] = KSW_NEG_INF;
|
||||
}
|
||||
if (with_cigar) {
|
||||
mem2 = (uint8_t*)kmalloc(km, ((qlen + tlen - 1) * n_col_ + 1) * 16);
|
||||
mem2 = (uint8_t*)kmalloc(km, ((size_t)(qlen + tlen - 1) * n_col_ + 1) * 16);
|
||||
p = (__m128i*)(((size_t)mem2 + 15) >> 4 << 4);
|
||||
off = (int*)kmalloc(km, (qlen + tlen - 1) * sizeof(int) * 2);
|
||||
off_end = off + qlen + tlen - 1;
|
||||
@@ -110,19 +118,55 @@ void ksw_exts2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
|
||||
// set the donor and acceptor arrays. TODO: this assumes 0/1/2/3 encoding!
|
||||
if (flag & (KSW_EZ_SPLICE_FOR|KSW_EZ_SPLICE_REV)) {
|
||||
int semi_cost = flag&KSW_EZ_SPLICE_FLANK? -noncan/2 : 0; // GTr or yAG is worth 0.5 bit; see PMID:18688272
|
||||
memset(donor, -noncan, tlen_ * 16);
|
||||
for (t = 0; t < tlen - 2; ++t) {
|
||||
int is_can = 0; // is a canonical site
|
||||
if ((flag & KSW_EZ_SPLICE_FOR) && target[t+1] == 2 && target[t+2] == 3) is_can = 1;
|
||||
if ((flag & KSW_EZ_SPLICE_REV) && target[t+1] == 1 && target[t+2] == 3) is_can = 1;
|
||||
if (is_can) ((int8_t*)donor)[t] = 0;
|
||||
}
|
||||
memset(acceptor, -noncan, tlen_ * 16);
|
||||
for (t = 2; t < tlen; ++t) {
|
||||
int is_can = 0;
|
||||
if ((flag & KSW_EZ_SPLICE_FOR) && target[t-1] == 0 && target[t] == 2) is_can = 1;
|
||||
if ((flag & KSW_EZ_SPLICE_REV) && target[t-1] == 0 && target[t] == 1) is_can = 1;
|
||||
if (is_can) ((int8_t*)acceptor)[t] = 0;
|
||||
if (!(flag & KSW_EZ_REV_CIGAR)) {
|
||||
for (t = 0; t < tlen - 4; ++t) {
|
||||
int can_type = 0; // type of canonical site: 0=none, 1=GT/AG only, 2=GTr/yAG
|
||||
if ((flag & KSW_EZ_SPLICE_FOR) && target[t+1] == 2 && target[t+2] == 3) can_type = 1; // GTr...
|
||||
if ((flag & KSW_EZ_SPLICE_REV) && target[t+1] == 1 && target[t+2] == 3) can_type = 1; // CTr...
|
||||
if (can_type && (target[t+3] == 0 || target[t+3] == 2)) can_type = 2;
|
||||
if (can_type) ((int8_t*)donor)[t] = can_type == 2? 0 : semi_cost;
|
||||
}
|
||||
if (junc)
|
||||
for (t = 0; t < tlen - 1; ++t)
|
||||
if (((flag & KSW_EZ_SPLICE_FOR) && (junc[t+1]&1)) || ((flag & KSW_EZ_SPLICE_REV) && (junc[t+1]&8)))
|
||||
((int8_t*)donor)[t] += junc_bonus;
|
||||
for (t = 2; t < tlen; ++t) {
|
||||
int can_type = 0;
|
||||
if ((flag & KSW_EZ_SPLICE_FOR) && target[t-1] == 0 && target[t] == 2) can_type = 1; // ...yAG
|
||||
if ((flag & KSW_EZ_SPLICE_REV) && target[t-1] == 0 && target[t] == 1) can_type = 1; // ...yAC
|
||||
if (can_type && (target[t-2] == 1 || target[t-2] == 3)) can_type = 2;
|
||||
if (can_type) ((int8_t*)acceptor)[t] = can_type == 2? 0 : semi_cost;
|
||||
}
|
||||
if (junc)
|
||||
for (t = 0; t < tlen; ++t)
|
||||
if (((flag & KSW_EZ_SPLICE_FOR) && (junc[t]&2)) || ((flag & KSW_EZ_SPLICE_REV) && (junc[t]&4)))
|
||||
((int8_t*)acceptor)[t] += junc_bonus;
|
||||
} else {
|
||||
for (t = 0; t < tlen - 4; ++t) {
|
||||
int can_type = 0; // type of canonical site: 0=none, 1=GT/AG only, 2=GTr/yAG
|
||||
if ((flag & KSW_EZ_SPLICE_FOR) && target[t+1] == 2 && target[t+2] == 0) can_type = 1; // GAy...
|
||||
if ((flag & KSW_EZ_SPLICE_REV) && target[t+1] == 1 && target[t+2] == 0) can_type = 1; // CAy...
|
||||
if (can_type && (target[t+3] == 1 || target[t+3] == 3)) can_type = 2;
|
||||
if (can_type) ((int8_t*)donor)[t] = can_type == 2? 0 : semi_cost;
|
||||
}
|
||||
if (junc)
|
||||
for (t = 0; t < tlen - 1; ++t)
|
||||
if (((flag & KSW_EZ_SPLICE_FOR) && (junc[t+1]&2)) || ((flag & KSW_EZ_SPLICE_REV) && (junc[t+1]&4)))
|
||||
((int8_t*)donor)[t] += junc_bonus;
|
||||
for (t = 2; t < tlen; ++t) {
|
||||
int can_type = 0;
|
||||
if ((flag & KSW_EZ_SPLICE_FOR) && target[t-1] == 3 && target[t] == 2) can_type = 1; // ...rTG
|
||||
if ((flag & KSW_EZ_SPLICE_REV) && target[t-1] == 3 && target[t] == 1) can_type = 1; // ...rTC
|
||||
if (can_type && (target[t-2] == 0 || target[t-2] == 2)) can_type = 2;
|
||||
if (can_type) ((int8_t*)acceptor)[t] = can_type == 2? 0 : semi_cost;
|
||||
}
|
||||
if (junc)
|
||||
for (t = 0; t < tlen; ++t)
|
||||
if (((flag & KSW_EZ_SPLICE_FOR) && (junc[t]&1)) || ((flag & KSW_EZ_SPLICE_REV) && (junc[t]&8)))
|
||||
((int8_t*)acceptor)[t] += junc_bonus;
|
||||
}
|
||||
}
|
||||
|
||||
@@ -159,10 +203,11 @@ void ksw_exts2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
tmp = _mm_cmpeq_epi8(sq, st);
|
||||
#ifdef __SSE4_1__
|
||||
tmp = _mm_blendv_epi8(sc_mis_, sc_mch_, tmp);
|
||||
tmp = _mm_blendv_epi8(tmp, sc_N_, mask);
|
||||
#else
|
||||
tmp = _mm_or_si128(_mm_andnot_si128(tmp, sc_mis_), _mm_and_si128(tmp, sc_mch_));
|
||||
tmp = _mm_or_si128(_mm_andnot_si128(tmp, sc_mis_), _mm_and_si128(tmp, sc_mch_));
|
||||
tmp = _mm_or_si128(_mm_andnot_si128(mask, tmp), _mm_and_si128(mask, sc_N_));
|
||||
#endif
|
||||
tmp = _mm_andnot_si128(mask, tmp);
|
||||
_mm_storeu_si128((__m128i*)((int8_t*)s + t), tmp);
|
||||
}
|
||||
} else {
|
||||
@@ -362,9 +407,9 @@ void ksw_exts2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
if (with_cigar) { // backtrack
|
||||
int rev_cigar = !!(flag & KSW_EZ_REV_CIGAR);
|
||||
if (!ez->zdropped && !(flag&KSW_EZ_EXTZ_ONLY))
|
||||
ksw_backtrack(km, 1, rev_cigar, 1, (uint8_t*)p, off, off_end, n_col_*16, tlen-1, qlen-1, &ez->m_cigar, &ez->n_cigar, &ez->cigar);
|
||||
ksw_backtrack(km, 1, rev_cigar, long_thres, (uint8_t*)p, off, off_end, n_col_*16, tlen-1, qlen-1, &ez->m_cigar, &ez->n_cigar, &ez->cigar);
|
||||
else if (ez->max_t >= 0 && ez->max_q >= 0)
|
||||
ksw_backtrack(km, 1, rev_cigar, 1, (uint8_t*)p, off, off_end, n_col_*16, ez->max_t, ez->max_q, &ez->m_cigar, &ez->n_cigar, &ez->cigar);
|
||||
ksw_backtrack(km, 1, rev_cigar, long_thres, (uint8_t*)p, off, off_end, n_col_*16, ez->max_t, ez->max_q, &ez->m_cigar, &ez->n_cigar, &ez->cigar);
|
||||
kfree(km, mem2); kfree(km, off);
|
||||
}
|
||||
}
|
||||
|
||||
+25
-11
@@ -3,24 +3,32 @@
|
||||
#include "ksw2.h"
|
||||
|
||||
#ifdef __SSE2__
|
||||
#ifdef USE_SIMDE
|
||||
#include <simde/x86/sse2.h>
|
||||
#else
|
||||
#include <emmintrin.h>
|
||||
#endif
|
||||
|
||||
#ifdef KSW_SSE2_ONLY
|
||||
#undef __SSE4_1__
|
||||
#endif
|
||||
|
||||
#ifdef __SSE4_1__
|
||||
#ifdef USE_SIMDE
|
||||
#include <simde/x86/sse4.1.h>
|
||||
#else
|
||||
#include <smmintrin.h>
|
||||
#endif
|
||||
#endif
|
||||
|
||||
#ifdef KSW_CPU_DISPATCH
|
||||
#ifdef __SSE4_1__
|
||||
void ksw_extz2_sse41(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int flag, ksw_extz_t *ez)
|
||||
void ksw_extz2_sse41(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez)
|
||||
#else
|
||||
void ksw_extz2_sse2(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int flag, ksw_extz_t *ez)
|
||||
void ksw_extz2_sse2(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez)
|
||||
#endif
|
||||
#else
|
||||
void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int flag, ksw_extz_t *ez)
|
||||
void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uint8_t *target, int8_t m, const int8_t *mat, int8_t q, int8_t e, int w, int zdrop, int end_bonus, int flag, ksw_extz_t *ez)
|
||||
#endif // ~KSW_CPU_DISPATCH
|
||||
{
|
||||
#define __dp_code_block1 \
|
||||
@@ -50,7 +58,7 @@ void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
int with_cigar = !(flag&KSW_EZ_SCORE_ONLY), approx_max = !!(flag&KSW_EZ_APPROX_MAX);
|
||||
int32_t *H = 0, H0 = 0, last_H0_t = 0;
|
||||
uint8_t *qr, *sf, *mem, *mem2 = 0;
|
||||
__m128i q_, qe2_, zero_, flag1_, flag2_, flag8_, flag16_, sc_mch_, sc_mis_, m1_, max_sc_;
|
||||
__m128i q_, qe2_, zero_, flag1_, flag2_, flag8_, flag16_, sc_mch_, sc_mis_, sc_N_, m1_, max_sc_;
|
||||
__m128i *u, *v, *x, *y, *s, *p = 0;
|
||||
|
||||
ksw_reset_extz(ez);
|
||||
@@ -65,6 +73,7 @@ void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
flag16_ = _mm_set1_epi8(0x10);
|
||||
sc_mch_ = _mm_set1_epi8(mat[0]);
|
||||
sc_mis_ = _mm_set1_epi8(mat[1]);
|
||||
sc_N_ = mat[m*m-1] == 0? _mm_set1_epi8(-e) : _mm_set1_epi8(mat[m*m-1]);
|
||||
m1_ = _mm_set1_epi8(m - 1); // wildcard
|
||||
max_sc_ = _mm_set1_epi8(mat[0] + (q + e) * 2);
|
||||
|
||||
@@ -88,7 +97,7 @@ void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
for (t = 0; t < tlen_ * 16; ++t) H[t] = KSW_NEG_INF;
|
||||
}
|
||||
if (with_cigar) {
|
||||
mem2 = (uint8_t*)kmalloc(km, ((qlen + tlen - 1) * n_col_ + 1) * 16);
|
||||
mem2 = (uint8_t*)kmalloc(km, ((size_t)(qlen + tlen - 1) * n_col_ + 1) * 16);
|
||||
p = (__m128i*)(((size_t)mem2 + 15) >> 4 << 4);
|
||||
off = (int*)kmalloc(km, (qlen + tlen - 1) * sizeof(int) * 2);
|
||||
off_end = off + qlen + tlen - 1;
|
||||
@@ -130,10 +139,11 @@ void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
tmp = _mm_cmpeq_epi8(sq, st);
|
||||
#ifdef __SSE4_1__
|
||||
tmp = _mm_blendv_epi8(sc_mis_, sc_mch_, tmp);
|
||||
tmp = _mm_blendv_epi8(tmp, sc_N_, mask);
|
||||
#else
|
||||
tmp = _mm_or_si128(_mm_andnot_si128(tmp, sc_mis_), _mm_and_si128(tmp, sc_mch_));
|
||||
tmp = _mm_or_si128(_mm_andnot_si128(tmp, sc_mis_), _mm_and_si128(tmp, sc_mch_));
|
||||
tmp = _mm_or_si128(_mm_andnot_si128(mask, tmp), _mm_and_si128(mask, sc_N_));
|
||||
#endif
|
||||
tmp = _mm_andnot_si128(mask, tmp);
|
||||
_mm_storeu_si128((__m128i*)((uint8_t*)s + t), tmp);
|
||||
}
|
||||
} else {
|
||||
@@ -167,7 +177,7 @@ void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
#endif
|
||||
}
|
||||
} else if (!(flag&KSW_EZ_RIGHT)) { // gap left-alignment
|
||||
__m128i *pr = p + r * n_col_ - st_;
|
||||
__m128i *pr = p + (size_t)r * n_col_ - st_;
|
||||
off[r] = st, off_end[r] = en;
|
||||
for (t = st_; t <= en_; ++t) {
|
||||
__m128i d, z, a, b, xt1, vt1, ut, tmp;
|
||||
@@ -193,7 +203,7 @@ void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
_mm_store_si128(&pr[t], d);
|
||||
}
|
||||
} else { // gap right-alignment
|
||||
__m128i *pr = p + r * n_col_ - st_;
|
||||
__m128i *pr = p + (size_t)r * n_col_ - st_;
|
||||
off[r] = st, off_end[r] = en;
|
||||
for (t = st_; t <= en_; ++t) {
|
||||
__m128i d, z, a, b, xt1, vt1, ut, tmp;
|
||||
@@ -289,10 +299,14 @@ void ksw_extz2_sse(void *km, int qlen, const uint8_t *query, int tlen, const uin
|
||||
if (!approx_max) kfree(km, H);
|
||||
if (with_cigar) { // backtrack
|
||||
int rev_cigar = !!(flag & KSW_EZ_REV_CIGAR);
|
||||
if (!ez->zdropped && !(flag&KSW_EZ_EXTZ_ONLY))
|
||||
if (!ez->zdropped && !(flag&KSW_EZ_EXTZ_ONLY)) {
|
||||
ksw_backtrack(km, 1, rev_cigar, 0, (uint8_t*)p, off, off_end, n_col_*16, tlen-1, qlen-1, &ez->m_cigar, &ez->n_cigar, &ez->cigar);
|
||||
else if (ez->max_t >= 0 && ez->max_q >= 0)
|
||||
} else if (!ez->zdropped && (flag&KSW_EZ_EXTZ_ONLY) && ez->mqe + end_bonus > (int)ez->max) {
|
||||
ez->reach_end = 1;
|
||||
ksw_backtrack(km, 1, rev_cigar, 0, (uint8_t*)p, off, off_end, n_col_*16, ez->mqe_t, qlen-1, &ez->m_cigar, &ez->n_cigar, &ez->cigar);
|
||||
} else if (ez->max_t >= 0 && ez->max_q >= 0) {
|
||||
ksw_backtrack(km, 1, rev_cigar, 0, (uint8_t*)p, off, off_end, n_col_*16, ez->max_t, ez->max_q, &ez->m_cigar, &ez->n_cigar, &ez->cigar);
|
||||
}
|
||||
kfree(km, mem2); kfree(km, off);
|
||||
}
|
||||
}
|
||||
|
||||
+7
-2
@@ -1,9 +1,14 @@
|
||||
#include <stdlib.h>
|
||||
#include <stdint.h>
|
||||
#include <string.h>
|
||||
#include <emmintrin.h>
|
||||
#include "ksw2.h"
|
||||
|
||||
#ifdef USE_SIMDE
|
||||
#include <simde/x86/sse2.h>
|
||||
#else
|
||||
#include <emmintrin.h>
|
||||
#endif
|
||||
|
||||
#ifdef __GNUC__
|
||||
#define LIKELY(x) __builtin_expect((x),1)
|
||||
#define UNLIKELY(x) __builtin_expect((x),0)
|
||||
@@ -122,7 +127,7 @@ int ksw_ll_i16(void *q_, int tlen, const uint8_t *target, int _gapo, int _gape,
|
||||
f = _mm_max_epi16(f, h);
|
||||
h = _mm_load_si128(H0 + j);
|
||||
}
|
||||
for (k = 0; LIKELY(k < 16); ++k) {
|
||||
for (k = 0; LIKELY(k < 8); ++k) {
|
||||
f = _mm_slli_si128(f, 2);
|
||||
for (j = 0; LIKELY(j < slen); ++j) {
|
||||
h = _mm_load_si128(H1 + j);
|
||||
|
||||
@@ -2,6 +2,7 @@
|
||||
#include <stdlib.h>
|
||||
#include <limits.h>
|
||||
#include <stdint.h>
|
||||
#include "kthread.h"
|
||||
|
||||
#if (defined(WIN32) || defined(_WIN32)) && defined(_MSC_VER)
|
||||
#define __sync_fetch_and_add(ptr, addend) _InterlockedExchangeAdd((void*)ptr, addend)
|
||||
|
||||
@@ -0,0 +1,521 @@
|
||||
#include <stdint.h>
|
||||
#include <string.h>
|
||||
#include <stdio.h>
|
||||
#include <assert.h>
|
||||
#include "mmpriv.h"
|
||||
#include "kalloc.h"
|
||||
#include "krmq.h"
|
||||
#include <x86intrin.h>
|
||||
//#include "simd_chain.h"
|
||||
//#include "parallel_chaining_32_bit.h"
|
||||
#include "parallel_chaining_v2_22.h"
|
||||
|
||||
#ifdef MANUAL_PROFILING
|
||||
extern uint64_t dp_time, rmq_time, rmq_t1, rmq_t2, rmq_t3, rmq_t4;
|
||||
#endif
|
||||
|
||||
extern bool enable_vect_dp_chaining;
|
||||
uint64_t *mg_chain_backtrack(void *km, int64_t n, const int32_t *f, const int64_t *p, int32_t *v, int32_t *t, int32_t min_cnt, int32_t min_sc, int32_t *n_u_, int32_t *n_v_)
|
||||
{
|
||||
mm128_t *z;
|
||||
uint64_t *u;
|
||||
int64_t i, k, n_z, n_v;
|
||||
int32_t n_u;
|
||||
|
||||
*n_u_ = *n_v_ = 0;
|
||||
for (i = 0, n_z = 0; i < n; ++i) // precompute n_z
|
||||
if (f[i] >= min_sc) ++n_z;
|
||||
if (n_z == 0) return 0;
|
||||
KMALLOC(km, z, n_z);
|
||||
for (i = 0, k = 0; i < n; ++i) // populate z[]
|
||||
if (f[i] >= min_sc) z[k].x = f[i], z[k++].y = i;
|
||||
radix_sort_128x(z, z + n_z);
|
||||
|
||||
memset(t, 0, n * 4);
|
||||
for (k = n_z - 1, n_v = n_u = 0; k >= 0; --k) { // precompute n_u
|
||||
int64_t n_v0 = n_v;
|
||||
int32_t sc;
|
||||
for (i = z[k].y; i >= 0 && t[i] == 0; i = p[i])
|
||||
++n_v, t[i] = 1;
|
||||
sc = i < 0? z[k].x : (int32_t)z[k].x - f[i];
|
||||
if (sc >= min_sc && n_v > n_v0 && n_v - n_v0 >= min_cnt)
|
||||
++n_u;
|
||||
else n_v = n_v0;
|
||||
}
|
||||
KMALLOC(km, u, n_u);
|
||||
memset(t, 0, n * 4);
|
||||
for (k = n_z - 1, n_v = n_u = 0; k >= 0; --k) { // populate u[]
|
||||
int64_t n_v0 = n_v;
|
||||
int32_t sc;
|
||||
for (i = z[k].y; i >= 0 && t[i] == 0; i = p[i])
|
||||
v[n_v++] = i, t[i] = 1;
|
||||
sc = i < 0? z[k].x : (int32_t)z[k].x - f[i];
|
||||
if (sc >= min_sc && n_v > n_v0 && n_v - n_v0 >= min_cnt)
|
||||
u[n_u++] = (uint64_t)sc << 32 | (n_v - n_v0);
|
||||
else n_v = n_v0;
|
||||
}
|
||||
kfree(km, z);
|
||||
assert(n_v < INT32_MAX);
|
||||
*n_u_ = n_u, *n_v_ = n_v;
|
||||
return u;
|
||||
}
|
||||
|
||||
static mm128_t *compact_a(void *km, int32_t n_u, uint64_t *u, int32_t n_v, int32_t *v, mm128_t *a)
|
||||
{
|
||||
mm128_t *b, *w;
|
||||
uint64_t *u2;
|
||||
int64_t i, j, k;
|
||||
|
||||
// write the result to b[]
|
||||
KMALLOC(km, b, n_v);
|
||||
for (i = 0, k = 0; i < n_u; ++i) {
|
||||
int32_t k0 = k, ni = (int32_t)u[i];
|
||||
for (j = 0; j < ni; ++j)
|
||||
b[k++] = a[v[k0 + (ni - j - 1)]];
|
||||
}
|
||||
kfree(km, v);
|
||||
|
||||
// sort u[] and a[] by the target position, such that adjacent chains may be joined
|
||||
KMALLOC(km, w, n_u);
|
||||
for (i = k = 0; i < n_u; ++i) {
|
||||
w[i].x = b[k].x, w[i].y = (uint64_t)k<<32|i;
|
||||
k += (int32_t)u[i];
|
||||
}
|
||||
radix_sort_128x(w, w + n_u);
|
||||
KMALLOC(km, u2, n_u);
|
||||
for (i = k = 0; i < n_u; ++i) {
|
||||
int32_t j = (int32_t)w[i].y, n = (int32_t)u[j];
|
||||
u2[i] = u[j];
|
||||
memcpy(&a[k], &b[w[i].y>>32], n * sizeof(mm128_t));
|
||||
k += n;
|
||||
}
|
||||
memcpy(u, u2, n_u * 8);
|
||||
memcpy(b, a, k * sizeof(mm128_t)); // write _a_ to _b_ and deallocate _a_ because _a_ is oversized, sometimes a lot
|
||||
kfree(km, a); kfree(km, w); kfree(km, u2);
|
||||
return b;
|
||||
}
|
||||
|
||||
static inline int32_t comput_sc(const mm128_t *ai, const mm128_t *aj, int32_t max_dist_x, int32_t max_dist_y, int32_t bw, float chn_pen_gap, float chn_pen_skip, int is_cdna, int n_seg)
|
||||
{
|
||||
|
||||
uint64_t ai_x, ai_y, aj_x, aj_y;
|
||||
ai_x = ai->x; ai_y = ai->y; aj_x = aj->x; aj_y = aj->y;
|
||||
|
||||
#ifdef CHAIN_DEBUG
|
||||
int32_t sc_vect = obj.comput_sc_vectorized_avx2_caller(ai_x, ai_y, aj_x, aj_y, aj->y>>32&0xff);
|
||||
#endif
|
||||
|
||||
//if (sc_vect == 0) return INT32_MIN;
|
||||
//else
|
||||
//return sc_vect;
|
||||
|
||||
//fprintf(stderr, "%lld %lld %lld %lld \n", ai_x, ai_y, aj_x, aj_y);
|
||||
//fprintf(stderr, "%lld %lld %lld %f %f %d %d\n", max_dist_x, max_dist_y, bw, chn_pen_gap, chn_pen_skip, is_cdna, n_seg);
|
||||
int32_t dq = (int32_t)ai_y - (int32_t)aj_y, dr, dd, dg, q_span, sc;
|
||||
int32_t sidi = (ai_y & MM_SEED_SEG_MASK) >> MM_SEED_SEG_SHIFT;
|
||||
int32_t sidj = (aj_y & MM_SEED_SEG_MASK) >> MM_SEED_SEG_SHIFT;
|
||||
if (dq <= 0 || dq > max_dist_x) {
|
||||
|
||||
#ifdef CHAIN_DEBUG
|
||||
if(INT32_MIN != sc_vect){
|
||||
//fprintf(stderr, "score mismatch %d -- %d", sc , sc_vect);
|
||||
fprintf(stderr, "int-min exit: %llu, %llu, %llu, %llu : %d -- %d\n", ai_x, ai_y, aj_x, aj_y, sc, sc_vect);
|
||||
}
|
||||
#endif
|
||||
return INT32_MIN;
|
||||
}
|
||||
dr = (int32_t)(ai_x - aj_x);
|
||||
if (sidi == sidj && (dr == 0 || dq > max_dist_y)) {
|
||||
|
||||
#ifdef CHAIN_DEBUG
|
||||
if(INT32_MIN != sc_vect){
|
||||
//fprintf(stderr, "score mismatch %d -- %d", sc , sc_vect);
|
||||
fprintf(stderr, "int-min exit: %llu, %llu, %llu, %llu : %d -- %d\n", ai_x, ai_y, aj_x, aj_y, sc, sc_vect);
|
||||
}
|
||||
#endif
|
||||
return INT32_MIN;
|
||||
}
|
||||
dd = dr > dq? dr - dq : dq - dr;
|
||||
if (sidi == sidj && dd > bw) {
|
||||
|
||||
#ifdef CHAIN_DEBUG
|
||||
if(INT32_MIN != sc_vect){
|
||||
//fprintf(stderr, "score mismatch %d -- %d", sc , sc_vect);
|
||||
fprintf(stderr, "int-min exit: %llu, %llu, %llu, %llu : %d -- %d\n", ai_x, ai_y, aj_x, aj_y, sc, sc_vect);
|
||||
}
|
||||
#endif
|
||||
return INT32_MIN;
|
||||
}
|
||||
if (n_seg > 1 && !is_cdna && sidi == sidj && dr > max_dist_y) {
|
||||
|
||||
#ifdef CHAIN_DEBUG
|
||||
if(INT32_MIN != sc_vect){
|
||||
//fprintf(stderr, "score mismatch %d -- %d", sc , sc_vect);
|
||||
fprintf(stderr, "int-min exit: %llu, %llu, %llu, %llu : %d -- %d\n", ai_x, ai_y, aj_x, aj_y, sc, sc_vect);
|
||||
}
|
||||
#endif
|
||||
return INT32_MIN;
|
||||
}
|
||||
dg = dr < dq? dr : dq;
|
||||
q_span = aj->y>>32&0xff;
|
||||
sc = q_span < dg? q_span : dg;
|
||||
if (dd || dg > q_span) {
|
||||
float lin_pen, log_pen;
|
||||
lin_pen = chn_pen_gap * (float)dd + chn_pen_skip * (float)dg;
|
||||
log_pen = dd >= 1? mg_log2(dd + 1) : 0.0f; // mg_log2() only works for dd>=2
|
||||
if (is_cdna || sidi != sidj) {
|
||||
if (sidi != sidj && dr == 0) ++sc; // possibly due to overlapping paired ends; give a minor bonus
|
||||
else if (dr > dq || sidi != sidj) sc -= (int)(lin_pen < log_pen? lin_pen : log_pen); // deletion or jump between paired ends
|
||||
else sc -= (int)(lin_pen + .5f * log_pen);
|
||||
} else sc -= (int)(lin_pen + .5f * log_pen);
|
||||
}
|
||||
#ifdef CHAIN_DEBUG
|
||||
|
||||
if(sc != sc_vect ){
|
||||
//fprintf(stderr, "score mismatch %d -- %d", sc , sc_vect);
|
||||
fprintf(stderr, "outer: %llu, %llu, %llu, %llu : %d -- %d\n", ai_x, ai_y, aj_x, aj_y, sc, sc_vect);
|
||||
}
|
||||
#endif
|
||||
return sc;
|
||||
}
|
||||
|
||||
/* Input:
|
||||
* a[].x: tid<<33 | rev<<32 | tpos
|
||||
* a[].y: flags<<40 | q_span<<32 | q_pos
|
||||
* Output:
|
||||
* n_u: #chains
|
||||
* u[]: score<<32 | #anchors (sum of lower 32 bits of u[] is the returned length of a[])
|
||||
* input a[] is deallocated on return
|
||||
*/
|
||||
mm128_t *mg_lchain_dp(int max_dist_x, int max_dist_y, int bw, int max_skip, int max_iter, int min_cnt, int min_sc, float chn_pen_gap, float chn_pen_skip,
|
||||
int is_cdna, int n_seg, int64_t n, mm128_t *a, int *n_u_, uint64_t **_u, void *km)
|
||||
{ // TODO: make sure this works when n has more than 32 bits
|
||||
///fprintf(stderr, "chaining called\n");
|
||||
|
||||
|
||||
|
||||
#ifdef MANUAL_PROFILING
|
||||
uint64_t align_start = __rdtsc();
|
||||
#endif
|
||||
|
||||
int32_t *f, *t, *v, *v_1, *p_1, n_u, n_v, mmax_f = 0;
|
||||
int64_t *p, i, j, max_ii, st = 0, n_iter = 0;
|
||||
uint64_t *u;
|
||||
uint32_t* f_1;
|
||||
if (_u) *_u = 0, *n_u_ = 0;
|
||||
if (n == 0 || a == 0) {
|
||||
kfree(km, a);
|
||||
return 0;
|
||||
}
|
||||
if (max_dist_x < bw) max_dist_x = bw;
|
||||
if (max_dist_y < bw && !is_cdna) max_dist_y = bw;
|
||||
KMALLOC(km, p, n);
|
||||
KMALLOC(km, p_1, n);
|
||||
KMALLOC(km, f, n);
|
||||
KMALLOC(km, f_1, n);
|
||||
KMALLOC(km, v, n);
|
||||
KMALLOC(km, v_1, n);
|
||||
KCALLOC(km, t, n);
|
||||
|
||||
//#ifdef PARALLEL_CHAINING
|
||||
if(enable_vect_dp_chaining){
|
||||
// Parallel chaining data-structures
|
||||
anchor_t* anchors = (anchor_t*)malloc(n* sizeof(anchor_t));
|
||||
for (i = 0; i < n; ++i) {
|
||||
uint64_t ri = a[i].x;
|
||||
int32_t qi = (int32_t)a[i].y, q_span = a[i].y>>32&0xff; // NB: only 8 bits of span is used!!!
|
||||
anchors[i].r = ri;
|
||||
anchors[i].q = qi;
|
||||
anchors[i].l = q_span;
|
||||
}
|
||||
num_bits_t *anchor_r, *anchor_q, *anchor_l;
|
||||
create_SoA_Anchors_32_bit(anchors, n, anchor_r, anchor_q, anchor_l);
|
||||
dp_chain obj(max_dist_x, max_dist_y, bw, max_skip, max_iter, min_cnt, min_sc, chn_pen_gap, chn_pen_skip, is_cdna, n_seg);
|
||||
|
||||
#ifdef PARALLEL_CHAINING
|
||||
obj.mm_dp_vectorized(n, &anchors[0], anchor_r, anchor_q, anchor_l, f_1, p_1, v_1, max_dist_x, max_dist_y, NULL, NULL);
|
||||
#endif
|
||||
// -16 is due to extra padding at the start of arrays
|
||||
anchor_r -= 16; anchor_q -= 16; anchor_l -= 16;
|
||||
free(anchor_r);
|
||||
free(anchor_q);
|
||||
free(anchor_l);
|
||||
free(anchors);
|
||||
for(int i = 0; i < n; i++){
|
||||
#if 1
|
||||
f[i] = f_1[i];
|
||||
p[i] = p_1[i];
|
||||
v[i] = v_1[i];
|
||||
#endif
|
||||
}
|
||||
|
||||
//
|
||||
} else {
|
||||
//#else
|
||||
|
||||
// fill the score and backtrack arrays
|
||||
for (i = 0, max_ii = -1; i < n; ++i) {
|
||||
int64_t max_j = -1, end_j;
|
||||
int32_t max_f = a[i].y>>32&0xff, n_skip = 0;
|
||||
while (st < i && (a[i].x>>32 != a[st].x>>32 || a[i].x > a[st].x + max_dist_x)) ++st;
|
||||
if (i - st > max_iter) st = i - max_iter;
|
||||
int my_cnt = 0;
|
||||
for (j = i - 1; j >= st; --j) {
|
||||
int32_t sc;
|
||||
sc = comput_sc(&a[i], &a[j], max_dist_x, max_dist_y, bw, chn_pen_gap, chn_pen_skip, is_cdna, n_seg);
|
||||
++n_iter;
|
||||
if (sc == INT32_MIN) continue;
|
||||
sc += f[j];
|
||||
if (sc > max_f) {
|
||||
max_f = sc, max_j = j;
|
||||
if (n_skip > 0) --n_skip;
|
||||
} else if (t[j] == (int32_t)i) {
|
||||
if (++n_skip > max_skip)
|
||||
break;
|
||||
}
|
||||
if (p[j] >= 0) t[p[j]] = i;
|
||||
}
|
||||
end_j = j;
|
||||
int debug_iter = 2057329;
|
||||
|
||||
if (max_ii < 0 || a[i].x - a[max_ii].x > (int64_t)max_dist_x) {
|
||||
int32_t max = INT32_MIN;
|
||||
max_ii = -1;
|
||||
for (j = i - 1; j >= st; --j) {
|
||||
if (max < (int32_t)f[j]) max = f[j], max_ii = j;
|
||||
}
|
||||
}
|
||||
if (max_ii >= 0 && max_ii < end_j) {
|
||||
int32_t tmp;
|
||||
tmp = comput_sc(&a[i], &a[max_ii], max_dist_x, max_dist_y, bw, chn_pen_gap, chn_pen_skip, is_cdna, n_seg);
|
||||
// if (i == debug_iter) fprintf(stderr, "mm2: endj: %d max_ii: %d max_f: %d tmp_score: %d \n", end_j, max_ii, max_f, tmp);
|
||||
|
||||
|
||||
if (tmp != INT32_MIN && max_f < tmp + f[max_ii]){
|
||||
max_f = tmp + f[max_ii], max_j = max_ii;
|
||||
}
|
||||
}
|
||||
f[i] = max_f, p[i] = max_j;
|
||||
v[i] = max_j >= 0 && v[max_j] > max_f? v[max_j] : max_f; // v[] keeps the peak score up to i; f[] is the score ending at i, not always the peak
|
||||
|
||||
if (max_ii < 0 || (a[i].x - a[max_ii].x <= (int64_t)max_dist_x && f[max_ii] < f[i]))
|
||||
max_ii = i;
|
||||
if (mmax_f < max_f) mmax_f = max_f;
|
||||
}
|
||||
|
||||
}
|
||||
//#endif
|
||||
|
||||
#ifdef CHAIN_DEBUG
|
||||
|
||||
for(int i = 0; i < n; i++){
|
||||
if(f[i] != f_1[i] || p[i] != p_1[i] || v[i] !=v_1[i])
|
||||
{
|
||||
fprintf(stderr, "i:%d %d %d %d %d %d %d\n",i, f[i], f_1[i], p[i], p_1[i], v[i], v_1[i] );
|
||||
}
|
||||
#if 0
|
||||
f[i] = f_1[i];
|
||||
p[i] = p_1[i];
|
||||
v[i] = v_1[i];
|
||||
#endif
|
||||
}
|
||||
#endif
|
||||
u = mg_chain_backtrack(km, n, f, p, v, t, min_cnt, min_sc, &n_u, &n_v);
|
||||
*n_u_ = n_u, *_u = u; // NB: note that u[] may not be sorted by score here
|
||||
kfree(km, p); kfree(km, p_1); kfree(km, f); kfree(km, f_1); kfree(km, t); kfree(km, v_1);
|
||||
if (n_u == 0) {
|
||||
kfree(km, a); kfree(km, v);
|
||||
return 0;
|
||||
}
|
||||
|
||||
|
||||
#ifdef MANUAL_PROFILING
|
||||
dp_time += __rdtsc() - align_start;
|
||||
#endif
|
||||
return compact_a(km, n_u, u, n_v, v, a);
|
||||
}
|
||||
|
||||
typedef struct lc_elem_s {
|
||||
int32_t y;
|
||||
int64_t i;
|
||||
double pri;
|
||||
KRMQ_HEAD(struct lc_elem_s) head;
|
||||
} lc_elem_t;
|
||||
|
||||
#define lc_elem_cmp(a, b) ((a)->y < (b)->y? -1 : (a)->y > (b)->y? 1 : ((a)->i > (b)->i) - ((a)->i < (b)->i))
|
||||
#define lc_elem_lt2(a, b) ((a)->pri < (b)->pri)
|
||||
KRMQ_INIT(lc_elem, lc_elem_t, head, lc_elem_cmp, lc_elem_lt2)
|
||||
|
||||
KALLOC_POOL_INIT(rmq, lc_elem_t)
|
||||
|
||||
static inline int32_t comput_sc_simple(const mm128_t *ai, const mm128_t *aj, float chn_pen_gap, float chn_pen_skip, int32_t *exact, int32_t *width)
|
||||
{
|
||||
int32_t dq = (int32_t)ai->y - (int32_t)aj->y, dr, dd, dg, q_span, sc;
|
||||
dr = (int32_t)(ai->x - aj->x);
|
||||
*width = dd = dr > dq? dr - dq : dq - dr;
|
||||
dg = dr < dq? dr : dq;
|
||||
q_span = aj->y>>32&0xff;
|
||||
sc = q_span < dg? q_span : dg;
|
||||
if (exact) *exact = (dd == 0 && dg <= q_span);
|
||||
if (dd || dq > q_span) {
|
||||
float lin_pen, log_pen;
|
||||
lin_pen = chn_pen_gap * (float)dd + chn_pen_skip * (float)dg;
|
||||
log_pen = dd >= 1? mg_log2(dd + 1) : 0.0f; // mg_log2() only works for dd>=2
|
||||
sc -= (int)(lin_pen + .5f * log_pen);
|
||||
}
|
||||
return sc;
|
||||
}
|
||||
|
||||
mm128_t *mg_lchain_rmq(int max_dist, int max_dist_inner, int bw, int max_chn_skip, int cap_rmq_size, int min_cnt, int min_sc, float chn_pen_gap, float chn_pen_skip,
|
||||
int64_t n, mm128_t *a, int *n_u_, uint64_t **_u, void *km)
|
||||
{
|
||||
#ifdef MANUAL_PROFILING
|
||||
uint64_t start = __rdtsc();
|
||||
#endif
|
||||
uint64_t tim;
|
||||
//fprintf(stderr, "rmq call \n");
|
||||
int32_t *f,*t, *v, n_u, n_v, mmax_f = 0, max_rmq_size = 0;
|
||||
int64_t *p, i, i0, st = 0, st_inner = 0, n_iter = 0;
|
||||
uint64_t *u;
|
||||
lc_elem_t *root = 0, *root_inner = 0;
|
||||
void *mem_mp = 0;
|
||||
kmp_rmq_t *mp;
|
||||
|
||||
if (_u) *_u = 0, *n_u_ = 0;
|
||||
if (n == 0 || a == 0) {
|
||||
kfree(km, a);
|
||||
return 0;
|
||||
}
|
||||
if (max_dist < bw) max_dist = bw;
|
||||
if (max_dist_inner <= 0 || max_dist_inner >= max_dist) max_dist_inner = 0;
|
||||
KMALLOC(km, p, n);
|
||||
KMALLOC(km, f, n);
|
||||
KCALLOC(km, t, n);
|
||||
KMALLOC(km, v, n);
|
||||
mem_mp = km_init2(km, 0x10000);
|
||||
mp = kmp_init_rmq(mem_mp);
|
||||
|
||||
// fill the score and backtrack arrays
|
||||
for (i = i0 = 0; i < n; ++i) {
|
||||
int64_t max_j = -1;
|
||||
int32_t q_span = a[i].y>>32&0xff, max_f = q_span;
|
||||
lc_elem_t s, *q, *r, lo, hi;
|
||||
// add in-range anchors
|
||||
#ifdef MANUAL_PROFILING_RMQ
|
||||
tim = __rdtsc();
|
||||
#endif
|
||||
if (i0 < i && a[i0].x != a[i].x) {
|
||||
int64_t j;
|
||||
for (j = i0; j < i; ++j) {
|
||||
q = kmp_alloc_rmq(mp);
|
||||
q->y = (int32_t)a[j].y, q->i = j, q->pri = -(f[j] + 0.5 * chn_pen_gap * ((int32_t)a[j].x + (int32_t)a[j].y));
|
||||
krmq_insert(lc_elem, &root, q, 0);
|
||||
if (max_dist_inner > 0) {
|
||||
r = kmp_alloc_rmq(mp);
|
||||
*r = *q;
|
||||
krmq_insert(lc_elem, &root_inner, r, 0);
|
||||
}
|
||||
}
|
||||
i0 = i;
|
||||
}
|
||||
#ifdef MANUAL_PROFILING_RMQ
|
||||
rmq_t1 += __rdtsc() - tim;
|
||||
#endif
|
||||
// get rid of active chains out of range
|
||||
#ifdef MANUAL_PROFILING_RMQ
|
||||
tim = __rdtsc();
|
||||
#endif
|
||||
while (st < i && (a[i].x>>32 != a[st].x>>32 || a[i].x > a[st].x + max_dist || krmq_size(head, root) > cap_rmq_size)) {
|
||||
s.y = (int32_t)a[st].y, s.i = st;
|
||||
if ((q = krmq_find(lc_elem, root, &s, 0)) != 0) {
|
||||
q = krmq_erase(lc_elem, &root, q, 0);
|
||||
kmp_free_rmq(mp, q);
|
||||
}
|
||||
++st;
|
||||
}
|
||||
#ifdef MANUAL_PROFILING_RMQ
|
||||
rmq_t2 += __rdtsc() - tim;
|
||||
#endif
|
||||
#ifdef MANUAL_PROFILING_RMQ
|
||||
tim = __rdtsc();
|
||||
#endif
|
||||
if (max_dist_inner > 0) { // similar to the block above, but applied to the inner tree
|
||||
while (st_inner < i && (a[i].x>>32 != a[st_inner].x>>32 || a[i].x > a[st_inner].x + max_dist_inner || krmq_size(head, root_inner) > cap_rmq_size)) {
|
||||
s.y = (int32_t)a[st_inner].y, s.i = st_inner;
|
||||
if ((q = krmq_find(lc_elem, root_inner, &s, 0)) != 0) {
|
||||
q = krmq_erase(lc_elem, &root_inner, q, 0);
|
||||
kmp_free_rmq(mp, q);
|
||||
}
|
||||
++st_inner;
|
||||
}
|
||||
}
|
||||
#ifdef MANUAL_PROFILING_RMQ
|
||||
rmq_t3 += __rdtsc() - tim;
|
||||
#endif
|
||||
// RMQ
|
||||
lo.i = INT32_MAX, lo.y = (int32_t)a[i].y - max_dist;
|
||||
hi.i = 0, hi.y = (int32_t)a[i].y;
|
||||
if ((q = krmq_rmq(lc_elem, root, &lo, &hi)) != 0) {
|
||||
int32_t sc, exact, width, n_skip = 0;
|
||||
int64_t j = q->i;
|
||||
assert(q->y >= lo.y && q->y <= hi.y);
|
||||
sc = f[j] + comput_sc_simple(&a[i], &a[j], chn_pen_gap, chn_pen_skip, &exact, &width);
|
||||
if (width <= bw && sc > max_f) max_f = sc, max_j = j;
|
||||
if (!exact && root_inner && (int32_t)a[i].y > 0) {
|
||||
lc_elem_t *lo, *hi;
|
||||
s.y = (int32_t)a[i].y - 1, s.i = n;
|
||||
krmq_interval(lc_elem, root_inner, &s, &lo, &hi);
|
||||
if (lo) {
|
||||
const lc_elem_t *q;
|
||||
int32_t width, n_rmq_iter = 0;
|
||||
krmq_itr_t(lc_elem) itr;
|
||||
krmq_itr_find(lc_elem, root_inner, lo, &itr);
|
||||
while ((q = krmq_at(&itr)) != 0) {
|
||||
#ifdef MANUAL_PROFILING_RMQ
|
||||
tim = __rdtsc();
|
||||
#endif
|
||||
if (q->y < (int32_t)a[i].y - max_dist_inner) break;
|
||||
++n_rmq_iter;
|
||||
j = q->i;
|
||||
sc = f[j] + comput_sc_simple(&a[i], &a[j], chn_pen_gap, chn_pen_skip, 0, &width);
|
||||
if (width <= bw) {
|
||||
if (sc > max_f) {
|
||||
max_f = sc, max_j = j;
|
||||
if (n_skip > 0) --n_skip;
|
||||
} else if (t[j] == (int32_t)i) {
|
||||
if (++n_skip > max_chn_skip)
|
||||
break;
|
||||
}
|
||||
if (p[j] >= 0) t[p[j]] = i;
|
||||
}
|
||||
if (!krmq_itr_prev(lc_elem, &itr)) break;
|
||||
#ifdef MANUAL_PROFILING_RMQ
|
||||
rmq_t4 += __rdtsc() - tim;
|
||||
#endif
|
||||
}
|
||||
n_iter += n_rmq_iter;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// set max
|
||||
assert(max_j < 0 || (a[max_j].x < a[i].x && (int32_t)a[max_j].y < (int32_t)a[i].y));
|
||||
f[i] = max_f, p[i] = max_j;
|
||||
v[i] = max_j >= 0 && v[max_j] > max_f? v[max_j] : max_f; // v[] keeps the peak score up to i; f[] is the score ending at i, not always the peak
|
||||
if (mmax_f < max_f) mmax_f = max_f;
|
||||
if (max_rmq_size < krmq_size(head, root)) max_rmq_size = krmq_size(head, root);
|
||||
}
|
||||
km_destroy(mem_mp);
|
||||
|
||||
u = mg_chain_backtrack(km, n, f, p, v, t, min_cnt, min_sc, &n_u, &n_v);
|
||||
*n_u_ = n_u, *_u = u; // NB: note that u[] may not be sorted by score here
|
||||
kfree(km, p); kfree(km, f); kfree(km, t);
|
||||
if (n_u == 0) {
|
||||
kfree(km, a); kfree(km, v);
|
||||
return 0;
|
||||
}
|
||||
#ifdef MANUAL_PROFILING
|
||||
rmq_time += __rdtsc() - start;
|
||||
#endif
|
||||
return compact_a(km, n_u, u, n_v, v, a);
|
||||
}
|
||||
Submodule
+1
Submodule lib/simde added at b30129b3b4
@@ -1,12 +1,82 @@
|
||||
#include <stdlib.h>
|
||||
#include <stdio.h>
|
||||
#include <string.h>
|
||||
#include <errno.h>
|
||||
#include "bseq.h"
|
||||
#include "minimap.h"
|
||||
#include "mmpriv.h"
|
||||
#include "getopt.h"
|
||||
#include "ketopt.h"
|
||||
#include <x86intrin.h>
|
||||
#include <immintrin.h>
|
||||
#include <sys/time.h>
|
||||
#include <stdlib.h>
|
||||
#include <stdio.h>
|
||||
#include <string.h>
|
||||
#include <string>
|
||||
#include <map>
|
||||
#include <errno.h>
|
||||
#include "bseq.h"
|
||||
#include "minimap.h"
|
||||
#include "mmpriv.h"
|
||||
#include "ketopt.h"
|
||||
|
||||
#define MM_VERSION "2.1.1-r341"
|
||||
//#include "profile.h"
|
||||
#include <stdint.h>
|
||||
#include <unistd.h>
|
||||
#include <x86intrin.h>
|
||||
|
||||
using namespace std;
|
||||
uint64_t avg;
|
||||
uint64_t minimizer_lookup_time, alignment_time, dp_time, rmq_time, rmq_t1, rmq_t2, rmq_t3, rmq_t4;
|
||||
|
||||
bool enable_vect_dp_chaining = false;
|
||||
|
||||
#ifdef LISA_HASH
|
||||
#include "lisa_hash.h"
|
||||
lisa_hash<uint64_t, uint64_t> *lh;
|
||||
#endif
|
||||
|
||||
// New memory allocation approach for alignment optimizations
|
||||
//
|
||||
void *km1;
|
||||
uint64_t km_size = 500000000; // 500 MB
|
||||
int km_top;
|
||||
/*
|
||||
void *kcalloc_(void* km, int count, int size)
|
||||
{
|
||||
assert(count*size < km_size);
|
||||
km_top += count*size + 1024;
|
||||
memset(km, 0, count * size);
|
||||
|
||||
// printf("km_top: %d\n", km_top);
|
||||
return km;
|
||||
}
|
||||
|
||||
void *kmalloc_(void* km, int count) {
|
||||
if(km_top + count >= km_size)
|
||||
printf("count: %d\n", count);
|
||||
assert(km_top + count < km_size);
|
||||
void *mem = (void*) ((int8_t*) km + km_top);
|
||||
km_top += count + 1024;
|
||||
// printf("km_top: %d\n", km_top);
|
||||
return mem;
|
||||
}
|
||||
|
||||
void kfree_all() { km_top = 0;}
|
||||
*/
|
||||
|
||||
// Memory for alignment end
|
||||
|
||||
|
||||
#ifndef __rdtsc
|
||||
#ifdef _rdtsc
|
||||
#define __rdtsc _rdtsc
|
||||
#else
|
||||
#define __rdtsc __builtin_ia32_rdtsc
|
||||
#endif
|
||||
#endif
|
||||
|
||||
#define MM_VERSION "2.22-r1101"
|
||||
|
||||
#ifdef __linux__
|
||||
#include <sys/resource.h>
|
||||
@@ -22,258 +92,461 @@ void liftrlimit()
|
||||
void liftrlimit() {}
|
||||
#endif
|
||||
|
||||
static struct option long_options[] = {
|
||||
{ "bucket-bits", required_argument, 0, 0 },
|
||||
{ "mb-size", required_argument, 0, 'K' },
|
||||
{ "int-rname", no_argument, 0, 0 },
|
||||
{ "no-kalloc", no_argument, 0, 0 },
|
||||
{ "print-qname", no_argument, 0, 0 },
|
||||
{ "no-self", no_argument, 0, 0 },
|
||||
{ "print-seed", no_argument, 0, 0 },
|
||||
{ "max-chain-skip", required_argument, 0, 0 },
|
||||
{ "min-dp-len", required_argument, 0, 0 },
|
||||
{ "print-aln-seq", no_argument, 0, 0 },
|
||||
{ "splice", no_argument, 0, 0 },
|
||||
{ "cost-non-gt-ag", required_argument, 0, 0 },
|
||||
{ "no-sam-sq", no_argument, 0, 0 },
|
||||
{ "help", no_argument, 0, 'h' },
|
||||
{ "max-intron-len", required_argument, 0, 'G' },
|
||||
{ "version", no_argument, 0, 'V' },
|
||||
{ "min-count", required_argument, 0, 'n' },
|
||||
{ "min-chain-score",required_argument, 0, 'm' },
|
||||
{ "mask-level", required_argument, 0, 'M' },
|
||||
{ "min-dp-score", required_argument, 0, 's' },
|
||||
{ "sam", no_argument, 0, 'a' },
|
||||
{ 0, 0, 0, 0}
|
||||
static ko_longopt_t long_options[] = {
|
||||
{ "bucket-bits", ko_required_argument, 300 },
|
||||
{ "mb-size", ko_required_argument, 'K' },
|
||||
{ "seed", ko_required_argument, 302 },
|
||||
{ "no-kalloc", ko_no_argument, 303 },
|
||||
{ "print-qname", ko_no_argument, 304 },
|
||||
{ "no-self", ko_no_argument, 'D' },
|
||||
{ "print-seeds", ko_no_argument, 306 },
|
||||
{ "max-chain-skip", ko_required_argument, 307 },
|
||||
{ "min-dp-len", ko_required_argument, 308 },
|
||||
{ "print-aln-seq", ko_no_argument, 309 },
|
||||
{ "splice", ko_no_argument, 310 },
|
||||
{ "cost-non-gt-ag", ko_required_argument, 'C' },
|
||||
{ "no-long-join", ko_no_argument, 312 },
|
||||
{ "sr", ko_no_argument, 313 },
|
||||
{ "frag", ko_required_argument, 314 },
|
||||
{ "secondary", ko_required_argument, 315 },
|
||||
{ "cs", ko_optional_argument, 316 },
|
||||
{ "end-bonus", ko_required_argument, 317 },
|
||||
{ "no-pairing", ko_no_argument, 318 },
|
||||
{ "splice-flank", ko_required_argument, 319 },
|
||||
{ "idx-no-seq", ko_no_argument, 320 },
|
||||
{ "end-seed-pen", ko_required_argument, 321 },
|
||||
{ "for-only", ko_no_argument, 322 },
|
||||
{ "rev-only", ko_no_argument, 323 },
|
||||
{ "heap-sort", ko_required_argument, 324 },
|
||||
{ "all-chain", ko_no_argument, 'P' },
|
||||
{ "dual", ko_required_argument, 326 },
|
||||
{ "max-clip-ratio", ko_required_argument, 327 },
|
||||
{ "min-occ-floor", ko_required_argument, 328 },
|
||||
{ "MD", ko_no_argument, 329 },
|
||||
{ "lj-min-ratio", ko_required_argument, 330 },
|
||||
{ "score-N", ko_required_argument, 331 },
|
||||
{ "eqx", ko_no_argument, 332 },
|
||||
{ "paf-no-hit", ko_no_argument, 333 },
|
||||
{ "split-prefix", ko_required_argument, 334 },
|
||||
{ "no-end-flt", ko_no_argument, 335 },
|
||||
{ "hard-mask-level",ko_no_argument, 336 },
|
||||
{ "cap-sw-mem", ko_required_argument, 337 },
|
||||
{ "max-qlen", ko_required_argument, 338 },
|
||||
{ "max-chain-iter", ko_required_argument, 339 },
|
||||
{ "junc-bed", ko_required_argument, 340 },
|
||||
{ "junc-bonus", ko_required_argument, 341 },
|
||||
{ "sam-hit-only", ko_no_argument, 342 },
|
||||
{ "chain-gap-scale",ko_required_argument, 343 },
|
||||
{ "alt", ko_required_argument, 344 },
|
||||
{ "alt-drop", ko_required_argument, 345 },
|
||||
{ "mask-len", ko_required_argument, 346 },
|
||||
{ "rmq", ko_optional_argument, 347 },
|
||||
{ "qstrand", ko_no_argument, 348 },
|
||||
{ "cap-kalloc", ko_required_argument, 349 },
|
||||
{ "help", ko_no_argument, 'h' },
|
||||
{ "max-intron-len", ko_required_argument, 'G' },
|
||||
{ "version", ko_no_argument, 'V' },
|
||||
{ "min-count", ko_required_argument, 'n' },
|
||||
{ "min-chain-score",ko_required_argument, 'm' },
|
||||
{ "mask-level", ko_required_argument, 'M' },
|
||||
{ "min-dp-score", ko_required_argument, 's' },
|
||||
{ "sam", ko_no_argument, 'a' },
|
||||
{ 0, 0, 0 }
|
||||
};
|
||||
|
||||
static inline int64_t mm_parse_num(const char *str)
|
||||
static inline int64_t mm_parse_num2(const char *str, char **q)
|
||||
{
|
||||
double x;
|
||||
char *p;
|
||||
x = strtod(optarg, &p);
|
||||
if (*p == 'G' || *p == 'g') x *= 1e9;
|
||||
else if (*p == 'M' || *p == 'm') x *= 1e6;
|
||||
else if (*p == 'K' || *p == 'k') x *= 1e3;
|
||||
x = strtod(str, &p);
|
||||
if (*p == 'G' || *p == 'g') x *= 1e9, ++p;
|
||||
else if (*p == 'M' || *p == 'm') x *= 1e6, ++p;
|
||||
else if (*p == 'K' || *p == 'k') x *= 1e3, ++p;
|
||||
if (q) *q = p;
|
||||
return (int64_t)(x + .499);
|
||||
}
|
||||
|
||||
static inline int64_t mm_parse_num(const char *str)
|
||||
{
|
||||
return mm_parse_num2(str, 0);
|
||||
}
|
||||
|
||||
static inline void yes_or_no(mm_mapopt_t *opt, int64_t flag, int long_idx, const char *arg, int yes_to_set)
|
||||
{
|
||||
if (yes_to_set) {
|
||||
if (strcmp(arg, "yes") == 0 || strcmp(arg, "y") == 0) opt->flag |= flag;
|
||||
else if (strcmp(arg, "no") == 0 || strcmp(arg, "n") == 0) opt->flag &= ~flag;
|
||||
else fprintf(stderr, "[WARNING]\033[1;31m option '--%s' only accepts 'yes' or 'no'.\033[0m\n", long_options[long_idx].name);
|
||||
} else {
|
||||
if (strcmp(arg, "yes") == 0 || strcmp(arg, "y") == 0) opt->flag &= ~flag;
|
||||
else if (strcmp(arg, "no") == 0 || strcmp(arg, "n") == 0) opt->flag |= flag;
|
||||
else fprintf(stderr, "[WARNING]\033[1;31m option '--%s' only accepts 'yes' or 'no'.\033[0m\n", long_options[long_idx].name);
|
||||
}
|
||||
}
|
||||
|
||||
int main(int argc, char *argv[])
|
||||
{
|
||||
mm_mapopt_t opt;
|
||||
int i, c, k = 15, w = -1, bucket_bits = MM_IDX_DEF_B, n_threads = 3, keep_name = 1, is_idx, is_hpc = 0, long_idx, idx_par_set = 0, max_intron_len = 0, n_idx_part = 0;
|
||||
int minibatch_size = 200000000;
|
||||
uint64_t batch_size = 4000000000ULL;
|
||||
mm_bseq_file_t *fp = 0;
|
||||
char *fnw = 0, *rg = 0, *s;
|
||||
FILE *fpr = 0, *fpw = 0, *fp_help = stderr;
|
||||
// Memory allocation for alignment optimizations
|
||||
//km1 = calloc(km_size, 1); // 10 MB init contg. alloc
|
||||
#ifdef PARALLEL_CHAINING
|
||||
enable_vect_dp_chaining = true;
|
||||
#endif
|
||||
|
||||
const char *opt_str = "2aSDw:k:K:t:r:f:Vv:g:G:I:d:XT:s:x:Hcp:M:n:z:A:B:O:E:m:N:Qu:R:hF:LC:yYPo:e:U:";
|
||||
ketopt_t o = KETOPT_INIT;
|
||||
mm_mapopt_t opt;
|
||||
mm_idxopt_t ipt;
|
||||
int i, c, n_threads = 3, n_parts, old_best_n = -1;
|
||||
char *fnw = 0, *rg = 0, *junc_bed = 0, *s, *alt_list = 0;
|
||||
FILE *fp_help = stderr;
|
||||
mm_idx_reader_t *idx_rdr;
|
||||
mm_idx_t *mi;
|
||||
|
||||
mm_verbose = 3;
|
||||
liftrlimit();
|
||||
mm_realtime0 = realtime();
|
||||
mm_mapopt_init(&opt);
|
||||
mm_set_opt(0, &ipt, &opt);
|
||||
string preset_arg = "";
|
||||
|
||||
while ((c = getopt_long(argc, argv, "aSw:k:K:t:r:f:Vv:g:G:I:d:XT:s:x:Hcp:M:n:z:A:B:O:E:m:N:Qu:R:h", long_options, &long_idx)) >= 0) {
|
||||
if (c == 'w') w = atoi(optarg), idx_par_set = 1;
|
||||
else if (c == 'k') k = atoi(optarg), idx_par_set = 1;
|
||||
else if (c == 'H') is_hpc = 1, idx_par_set = 1;
|
||||
else if (c == 'd') fnw = optarg; // the above are indexing related options, except -I
|
||||
else if (c == 'r') opt.bw = (int)mm_parse_num(optarg);
|
||||
else if (c == 'f') opt.mid_occ_frac = atof(optarg);
|
||||
else if (c == 't') n_threads = atoi(optarg);
|
||||
else if (c == 'v') mm_verbose = atoi(optarg);
|
||||
else if (c == 'g') opt.max_gap = (int)mm_parse_num(optarg);
|
||||
else if (c == 'G') max_intron_len = (int)mm_parse_num(optarg);
|
||||
else if (c == 'N') opt.best_n = atoi(optarg);
|
||||
else if (c == 'p') opt.pri_ratio = atof(optarg);
|
||||
else if (c == 'M') opt.mask_level = atof(optarg);
|
||||
else if (c == 'c') opt.flag |= MM_F_OUT_CG | MM_F_CIGAR;
|
||||
else if (c == 'S') opt.flag |= MM_F_OUT_CS | MM_F_CIGAR;
|
||||
else if (c == 'X') opt.flag |= MM_F_AVA | MM_F_NO_SELF;
|
||||
else if (c == 'a') opt.flag |= MM_F_OUT_SAM | MM_F_CIGAR;
|
||||
else if (c == 'Q') opt.flag |= MM_F_NO_QUAL;
|
||||
else if (c == 'T') opt.sdust_thres = atoi(optarg);
|
||||
else if (c == 'n') opt.min_cnt = atoi(optarg);
|
||||
else if (c == 'm') opt.min_chain_score = atoi(optarg);
|
||||
else if (c == 'A') opt.a = atoi(optarg);
|
||||
else if (c == 'B') opt.b = atoi(optarg);
|
||||
else if (c == 'z') opt.zdrop = atoi(optarg);
|
||||
else if (c == 's') opt.min_dp_max = atoi(optarg);
|
||||
else if (c == 'I') batch_size = mm_parse_num(optarg);
|
||||
else if (c == 'K') minibatch_size = (int)mm_parse_num(optarg);
|
||||
else if (c == 'R') rg = optarg;
|
||||
else if (c == 'h') fp_help = stdout;
|
||||
else if (c == 0 && long_idx == 0) bucket_bits = atoi(optarg); // --bucket-bits
|
||||
else if (c == 0 && long_idx == 2) keep_name = 0; // --int-rname
|
||||
else if (c == 0 && long_idx == 3) mm_dbg_flag |= MM_DBG_NO_KALLOC; // --no-kalloc
|
||||
else if (c == 0 && long_idx == 4) mm_dbg_flag |= MM_DBG_PRINT_QNAME; // --print-qname
|
||||
else if (c == 0 && long_idx == 5) opt.flag |= MM_F_NO_SELF; // --no-self
|
||||
else if (c == 0 && long_idx == 6) mm_dbg_flag |= MM_DBG_PRINT_QNAME | MM_DBG_PRINT_SEED; // --print-seed
|
||||
else if (c == 0 && long_idx == 7) opt.max_chain_skip = atoi(optarg); // --max-chain-skip
|
||||
else if (c == 0 && long_idx == 8) opt.min_ksw_len = atoi(optarg); // --min-dp-len
|
||||
else if (c == 0 && long_idx == 9) mm_dbg_flag |= MM_DBG_PRINT_QNAME | MM_DBG_PRINT_ALN_SEQ; // --print-aln-seq
|
||||
else if (c == 0 && long_idx ==10) opt.flag |= MM_F_SPLICE; // --splice
|
||||
else if (c == 0 && long_idx ==11) opt.noncan = atoi(optarg); // --cost-non-gt-ag
|
||||
else if (c == 0 && long_idx ==12) opt.flag |= MM_F_NO_SAM_SQ; // --no-sam-sq
|
||||
else if (c == 'V') {
|
||||
puts(MM_VERSION);
|
||||
return 0;
|
||||
} else if (c == 'u') {
|
||||
if (*optarg == 'b') opt.flag |= MM_F_SPLICE_FOR|MM_F_SPLICE_REV;
|
||||
else if (*optarg == 'B') opt.flag |= MM_F_SPLICE_BOTH;
|
||||
else if (*optarg == 'f') opt.flag |= MM_F_SPLICE_FOR, opt.flag &= ~MM_F_SPLICE_REV;
|
||||
else if (*optarg == 'r') opt.flag |= MM_F_SPLICE_REV, opt.flag &= ~MM_F_SPLICE_FOR;
|
||||
else if (*optarg == 'n') opt.flag &= ~(MM_F_SPLICE_FOR|MM_F_SPLICE_REV);
|
||||
else {
|
||||
fprintf(stderr, "[E::%s] unrecognized cDNA direction\n", __func__);
|
||||
return 1;
|
||||
}
|
||||
} else if (c == 'O') {
|
||||
opt.q = opt.q2 = strtol(optarg, &s, 10);
|
||||
if (*s == ',') opt.q2 = strtol(s + 1, &s, 10);
|
||||
} else if (c == 'E') {
|
||||
opt.e = opt.e2 = strtol(optarg, &s, 10);
|
||||
if (*s == ',') opt.e2 = strtol(s + 1, &s, 10);
|
||||
} else if (c == 'x') {
|
||||
if (strcmp(optarg, "ava-ont") == 0) {
|
||||
opt.flag |= MM_F_AVA | MM_F_NO_SELF;
|
||||
opt.min_chain_score = 100, opt.pri_ratio = 0.0f, opt.max_gap = 10000, opt.max_chain_skip = 25;
|
||||
minibatch_size = 500000000;
|
||||
k = 15, w = 5;
|
||||
} else if (strcmp(optarg, "ava-pb") == 0) {
|
||||
opt.flag |= MM_F_AVA | MM_F_NO_SELF;
|
||||
opt.min_chain_score = 100, opt.pri_ratio = 0.0f, opt.max_gap = 10000, opt.max_chain_skip = 25;
|
||||
minibatch_size = 500000000;
|
||||
is_hpc = 1, k = 19, w = 5;
|
||||
} else if (strcmp(optarg, "map10k") == 0 || strcmp(optarg, "map-pb") == 0) {
|
||||
is_hpc = 1, k = 19;
|
||||
} else if (strcmp(optarg, "map-ont") == 0) {
|
||||
is_hpc = 0, k = 15;
|
||||
} else if (strcmp(optarg, "asm5") == 0) {
|
||||
k = 19, w = 19;
|
||||
opt.a = 1, opt.b = 19, opt.q = 39, opt.q2 = 81, opt.e = 3, opt.e2 = 1, opt.zdrop = 200;
|
||||
opt.min_dp_max = 200;
|
||||
} else if (strcmp(optarg, "asm10") == 0) {
|
||||
k = 19, w = 19;
|
||||
opt.a = 1, opt.b = 9, opt.q = 16, opt.q2 = 41, opt.e = 2, opt.e2 = 1, opt.zdrop = 200;
|
||||
opt.min_dp_max = 200;
|
||||
} else if (strcmp(optarg, "splice") == 0 || strcmp(optarg, "cdna") == 0) {
|
||||
k = 15, w = 5;
|
||||
opt.flag |= MM_F_SPLICE | MM_F_SPLICE_FOR | MM_F_SPLICE_REV;
|
||||
opt.max_gap = 2000, opt.max_gap_ref = opt.bw = 200000;
|
||||
opt.a = 1, opt.b = 2, opt.q = 2, opt.e = 1, opt.q2 = 32, opt.e2 = 0;
|
||||
opt.noncan = 5;
|
||||
opt.zdrop = 200;
|
||||
} else {
|
||||
fprintf(stderr, "[E::%s] unknown preset '%s'\n", __func__, optarg);
|
||||
while ((c = ketopt(&o, argc, argv, 1, opt_str, long_options)) >= 0) { // test command line options and apply option -x/preset first
|
||||
if (c == 'x') {
|
||||
preset_arg += (string) o.arg;
|
||||
if (mm_set_opt(o.arg, &ipt, &opt) < 0) {
|
||||
fprintf(stderr, "[ERROR] unknown preset '%s'\n", o.arg);
|
||||
return 1;
|
||||
}
|
||||
} else if (c == ':') {
|
||||
fprintf(stderr, "[ERROR] missing option argument\n");
|
||||
return 1;
|
||||
} else if (c == '?') {
|
||||
fprintf(stderr, "[ERROR] unknown option in \"%s\"\n", argv[o.i - 1]);
|
||||
return 1;
|
||||
}
|
||||
}
|
||||
if (w < 0) w = (int)(.6666667 * k + .499);
|
||||
if ((opt.flag & MM_F_SPLICE) && max_intron_len > 0)
|
||||
opt.max_gap_ref = opt.bw = max_intron_len;
|
||||
o = KETOPT_INIT;
|
||||
|
||||
if (argc == optind || fp_help == stdout) {
|
||||
while ((c = ketopt(&o, argc, argv, 1, opt_str, long_options)) >= 0) {
|
||||
if (c == 'w') ipt.w = atoi(o.arg);
|
||||
else if (c == 'k') ipt.k = atoi(o.arg);
|
||||
else if (c == 'H') ipt.flag |= MM_I_HPC;
|
||||
else if (c == 'd') fnw = o.arg; // the above are indexing related options, except -I
|
||||
else if (c == 't') n_threads = atoi(o.arg);
|
||||
else if (c == 'v') mm_verbose = atoi(o.arg);
|
||||
else if (c == 'g') opt.max_gap = (int)mm_parse_num(o.arg);
|
||||
else if (c == 'G') mm_mapopt_max_intron_len(&opt, (int)mm_parse_num(o.arg));
|
||||
else if (c == 'F') opt.max_frag_len = (int)mm_parse_num(o.arg);
|
||||
else if (c == 'N') old_best_n = opt.best_n, opt.best_n = atoi(o.arg);
|
||||
else if (c == 'p') opt.pri_ratio = atof(o.arg);
|
||||
else if (c == 'M') opt.mask_level = atof(o.arg);
|
||||
else if (c == 'c') opt.flag |= MM_F_OUT_CG | MM_F_CIGAR;
|
||||
else if (c == 'D') opt.flag |= MM_F_NO_DIAG;
|
||||
else if (c == 'P') opt.flag |= MM_F_ALL_CHAINS;
|
||||
else if (c == 'X') opt.flag |= MM_F_ALL_CHAINS | MM_F_NO_DIAG | MM_F_NO_DUAL | MM_F_NO_LJOIN; // -D -P --no-long-join --dual=no
|
||||
else if (c == 'a') opt.flag |= MM_F_OUT_SAM | MM_F_CIGAR;
|
||||
else if (c == 'Q') opt.flag |= MM_F_NO_QUAL;
|
||||
else if (c == 'Y') opt.flag |= MM_F_SOFTCLIP;
|
||||
else if (c == 'L') opt.flag |= MM_F_LONG_CIGAR;
|
||||
else if (c == 'y') opt.flag |= MM_F_COPY_COMMENT;
|
||||
else if (c == 'T') opt.sdust_thres = atoi(o.arg);
|
||||
else if (c == 'n') opt.min_cnt = atoi(o.arg);
|
||||
else if (c == 'm') opt.min_chain_score = atoi(o.arg);
|
||||
else if (c == 'A') opt.a = atoi(o.arg);
|
||||
else if (c == 'B') opt.b = atoi(o.arg);
|
||||
else if (c == 's') opt.min_dp_max = atoi(o.arg);
|
||||
else if (c == 'C') opt.noncan = atoi(o.arg);
|
||||
else if (c == 'I') ipt.batch_size = mm_parse_num(o.arg);
|
||||
else if (c == 'K') opt.mini_batch_size = mm_parse_num(o.arg);
|
||||
else if (c == 'e') opt.occ_dist = mm_parse_num(o.arg);
|
||||
else if (c == 'R') rg = o.arg;
|
||||
else if (c == 'h') fp_help = stdout;
|
||||
else if (c == '2') opt.flag |= MM_F_2_IO_THREADS;
|
||||
else if (c == 'o') {
|
||||
if (strcmp(o.arg, "-") != 0) {
|
||||
if (freopen(o.arg, "wb", stdout) == NULL) {
|
||||
fprintf(stderr, "[ERROR]\033[1;31m failed to write the output to file '%s'\033[0m: %s\n", o.arg, strerror(errno));
|
||||
exit(1);
|
||||
}
|
||||
}
|
||||
}
|
||||
else if (c == 300) ipt.bucket_bits = atoi(o.arg); // --bucket-bits
|
||||
else if (c == 302) opt.seed = atoi(o.arg); // --seed
|
||||
else if (c == 303) mm_dbg_flag |= MM_DBG_NO_KALLOC; // --no-kalloc
|
||||
else if (c == 304) mm_dbg_flag |= MM_DBG_PRINT_QNAME; // --print-qname
|
||||
else if (c == 306) mm_dbg_flag |= MM_DBG_PRINT_QNAME | MM_DBG_PRINT_SEED, n_threads = 1; // --print-seed
|
||||
else if (c == 307) opt.max_chain_skip = atoi(o.arg); // --max-chain-skip
|
||||
else if (c == 339) opt.max_chain_iter = atoi(o.arg); // --max-chain-iter
|
||||
else if (c == 308) opt.min_ksw_len = atoi(o.arg); // --min-dp-len
|
||||
else if (c == 309) mm_dbg_flag |= MM_DBG_PRINT_QNAME | MM_DBG_PRINT_ALN_SEQ, n_threads = 1; // --print-aln-seq
|
||||
else if (c == 310) opt.flag |= MM_F_SPLICE; // --splice
|
||||
else if (c == 312) opt.flag |= MM_F_NO_LJOIN; // --no-long-join
|
||||
else if (c == 313) opt.flag |= MM_F_SR; // --sr
|
||||
else if (c == 317) opt.end_bonus = atoi(o.arg); // --end-bonus
|
||||
else if (c == 318) opt.flag |= MM_F_INDEPEND_SEG; // --no-pairing
|
||||
else if (c == 320) ipt.flag |= MM_I_NO_SEQ; // --idx-no-seq
|
||||
else if (c == 321) opt.anchor_ext_shift = atoi(o.arg); // --end-seed-pen
|
||||
else if (c == 322) opt.flag |= MM_F_FOR_ONLY; // --for-only
|
||||
else if (c == 323) opt.flag |= MM_F_REV_ONLY; // --rev-only
|
||||
else if (c == 327) opt.max_clip_ratio = atof(o.arg); // --max-clip-ratio
|
||||
else if (c == 328) opt.min_mid_occ = atoi(o.arg); // --min-occ-floor
|
||||
else if (c == 329) opt.flag |= MM_F_OUT_MD; // --MD
|
||||
else if (c == 331) opt.sc_ambi = atoi(o.arg); // --score-N
|
||||
else if (c == 332) opt.flag |= MM_F_EQX; // --eqx
|
||||
else if (c == 333) opt.flag |= MM_F_PAF_NO_HIT; // --paf-no-hit
|
||||
else if (c == 334) opt.split_prefix = o.arg; // --split-prefix
|
||||
else if (c == 335) opt.flag |= MM_F_NO_END_FLT; // --no-end-flt
|
||||
else if (c == 336) opt.flag |= MM_F_HARD_MLEVEL; // --hard-mask-level
|
||||
else if (c == 337) opt.max_sw_mat = mm_parse_num(o.arg); // --cap-sw-mat
|
||||
else if (c == 338) opt.max_qlen = mm_parse_num(o.arg); // --max-qlen
|
||||
else if (c == 340) junc_bed = o.arg; // --junc-bed
|
||||
else if (c == 341) opt.junc_bonus = atoi(o.arg); // --junc-bonus
|
||||
else if (c == 342) opt.flag |= MM_F_SAM_HIT_ONLY; // --sam-hit-only
|
||||
else if (c == 343) opt.chain_gap_scale = atof(o.arg); // --chain-gap-scale
|
||||
else if (c == 344) alt_list = o.arg; // --alt
|
||||
else if (c == 345) opt.alt_drop = atof(o.arg); // --alt-drop
|
||||
else if (c == 346) opt.mask_len = mm_parse_num(o.arg); // --mask-len
|
||||
else if (c == 348) opt.flag |= MM_F_QSTRAND | MM_F_NO_INV; // --qstrand
|
||||
else if (c == 349) opt.cap_kalloc = mm_parse_num(o.arg); // --cap-kalloc
|
||||
else if (c == 330) {
|
||||
fprintf(stderr, "[WARNING] \033[1;31m --lj-min-ratio has been deprecated.\033[0m\n");
|
||||
} else if (c == 314) { // --frag
|
||||
yes_or_no(&opt, MM_F_FRAG_MODE, o.longidx, o.arg, 1);
|
||||
} else if (c == 315) { // --secondary
|
||||
yes_or_no(&opt, MM_F_NO_PRINT_2ND, o.longidx, o.arg, 0);
|
||||
} else if (c == 316) { // --cs
|
||||
opt.flag |= MM_F_OUT_CS | MM_F_CIGAR;
|
||||
if (o.arg == 0 || strcmp(o.arg, "short") == 0) {
|
||||
opt.flag &= ~MM_F_OUT_CS_LONG;
|
||||
} else if (strcmp(o.arg, "long") == 0) {
|
||||
opt.flag |= MM_F_OUT_CS_LONG;
|
||||
} else if (strcmp(o.arg, "none") == 0) {
|
||||
opt.flag &= ~MM_F_OUT_CS;
|
||||
} else if (mm_verbose >= 2) {
|
||||
fprintf(stderr, "[WARNING]\033[1;31m --cs only takes 'short' or 'long'. Invalid values are assumed to be 'short'.\033[0m\n");
|
||||
}
|
||||
} else if (c == 319) { // --splice-flank
|
||||
yes_or_no(&opt, MM_F_SPLICE_FLANK, o.longidx, o.arg, 1);
|
||||
} else if (c == 324) { // --heap-sort
|
||||
yes_or_no(&opt, MM_F_HEAP_SORT, o.longidx, o.arg, 1);
|
||||
} else if (c == 326) { // --dual
|
||||
yes_or_no(&opt, MM_F_NO_DUAL, o.longidx, o.arg, 0);
|
||||
} else if (c == 347) { // --rmq
|
||||
yes_or_no(&opt, MM_F_RMQ, o.longidx, o.arg, 1);
|
||||
} else if (c == 'S') {
|
||||
opt.flag |= MM_F_OUT_CS | MM_F_CIGAR | MM_F_OUT_CS_LONG;
|
||||
if (mm_verbose >= 2)
|
||||
fprintf(stderr, "[WARNING]\033[1;31m option -S is deprecated and may be removed in future. Please use --cs=long instead.\033[0m\n");
|
||||
} else if (c == 'V') {
|
||||
puts(MM_VERSION);
|
||||
return 0;
|
||||
} else if (c == 'r') {
|
||||
opt.bw = (int)mm_parse_num2(o.arg, &s);
|
||||
if (*s == ',') opt.bw_long = (int)mm_parse_num2(s + 1, &s);
|
||||
} else if (c == 'U') {
|
||||
opt.min_mid_occ = strtol(o.arg, &s, 10);
|
||||
if (*s == ',') opt.max_mid_occ = strtol(s + 1, &s, 10);
|
||||
} else if (c == 'f') {
|
||||
double x;
|
||||
char *p;
|
||||
x = strtod(o.arg, &p);
|
||||
if (x < 1.0) opt.mid_occ_frac = x, opt.mid_occ = 0;
|
||||
else opt.mid_occ = (int)(x + .499);
|
||||
if (*p == ',') opt.max_occ = (int)(strtod(p+1, &p) + .499);
|
||||
} else if (c == 'u') {
|
||||
if (*o.arg == 'b') opt.flag |= MM_F_SPLICE_FOR|MM_F_SPLICE_REV; // both strands
|
||||
else if (*o.arg == 'f') opt.flag |= MM_F_SPLICE_FOR, opt.flag &= ~MM_F_SPLICE_REV; // match GT-AG
|
||||
else if (*o.arg == 'r') opt.flag |= MM_F_SPLICE_REV, opt.flag &= ~MM_F_SPLICE_FOR; // match CT-AC (reverse complement of GT-AG)
|
||||
else if (*o.arg == 'n') opt.flag &= ~(MM_F_SPLICE_FOR|MM_F_SPLICE_REV); // don't try to match the GT-AG signal
|
||||
else {
|
||||
fprintf(stderr, "[ERROR]\033[1;31m unrecognized cDNA direction\033[0m\n");
|
||||
return 1;
|
||||
}
|
||||
} else if (c == 'z') {
|
||||
opt.zdrop = opt.zdrop_inv = strtol(o.arg, &s, 10);
|
||||
if (*s == ',') opt.zdrop_inv = strtol(s + 1, &s, 10);
|
||||
} else if (c == 'O') {
|
||||
opt.q = opt.q2 = strtol(o.arg, &s, 10);
|
||||
if (*s == ',') opt.q2 = strtol(s + 1, &s, 10);
|
||||
} else if (c == 'E') {
|
||||
opt.e = opt.e2 = strtol(o.arg, &s, 10);
|
||||
if (*s == ',') opt.e2 = strtol(s + 1, &s, 10);
|
||||
}
|
||||
}
|
||||
if ((opt.flag & MM_F_SPLICE) && (opt.flag & MM_F_FRAG_MODE)) {
|
||||
fprintf(stderr, "[ERROR]\033[1;31m --splice and --frag should not be specified at the same time.\033[0m\n");
|
||||
return 1;
|
||||
}
|
||||
if (!fnw && !(opt.flag&MM_F_CIGAR))
|
||||
ipt.flag |= MM_I_NO_SEQ;
|
||||
if (mm_check_opt(&ipt, &opt) < 0)
|
||||
return 1;
|
||||
if (opt.best_n == 0) {
|
||||
fprintf(stderr, "[WARNING]\033[1;31m changed '-N 0' to '-N %d --secondary=no'.\033[0m\n", old_best_n);
|
||||
opt.best_n = old_best_n, opt.flag |= MM_F_NO_PRINT_2ND;
|
||||
}
|
||||
|
||||
if (argc == o.ind || fp_help == stdout) {
|
||||
fprintf(fp_help, "Usage: minimap2 [options] <target.fa>|<target.idx> [query.fa] [...]\n");
|
||||
fprintf(fp_help, "Options:\n");
|
||||
fprintf(fp_help, " Indexing:\n");
|
||||
fprintf(fp_help, " -H use homopolymer-compressed k-mer\n");
|
||||
fprintf(fp_help, " -k INT k-mer size (no larger than 28) [%d]\n", k);
|
||||
fprintf(fp_help, " -w INT minizer window size [{-k}*2/3]\n");
|
||||
fprintf(fp_help, " -H use homopolymer-compressed k-mer (preferrable for PacBio)\n");
|
||||
fprintf(fp_help, " -k INT k-mer size (no larger than 28) [%d]\n", ipt.k);
|
||||
fprintf(fp_help, " -w INT minimizer window size [%d]\n", ipt.w);
|
||||
fprintf(fp_help, " -I NUM split index for every ~NUM input bases [4G]\n");
|
||||
fprintf(fp_help, " -d FILE dump index to FILE []\n");
|
||||
fprintf(fp_help, " Mapping:\n");
|
||||
fprintf(fp_help, " -f FLOAT filter out top FLOAT fraction of repetitive minimizers [%g]\n", opt.mid_occ_frac);
|
||||
fprintf(fp_help, " -g INT stop chain enlongation if there are no minimizers in INT-bp [%d]\n", opt.max_gap);
|
||||
fprintf(fp_help, " -r INT bandwidth used in chaining and DP-based alignment [%d]\n", opt.bw);
|
||||
fprintf(fp_help, " -g NUM stop chain enlongation if there are no minimizers in INT-bp [%d]\n", opt.max_gap);
|
||||
fprintf(fp_help, " -G NUM max intron length (effective with -xsplice; changing -r) [200k]\n");
|
||||
fprintf(fp_help, " -F NUM max fragment length (effective with -xsr or in the fragment mode) [800]\n");
|
||||
fprintf(fp_help, " -r NUM[,NUM] chaining/alignment bandwidth and long-join bandwidth [%d,%d]\n", opt.bw, opt.bw_long);
|
||||
fprintf(fp_help, " -n INT minimal number of minimizers on a chain [%d]\n", opt.min_cnt);
|
||||
fprintf(fp_help, " -m INT minimal chaining score (matching bases minus log gap penalty) [%d]\n", opt.min_chain_score);
|
||||
// fprintf(fp_help, " -T INT SDUST threshold; 0 to disable SDUST [%d]\n", opt.sdust_thres); // TODO: this option is never used; might be buggy
|
||||
fprintf(fp_help, " -X skip self and dual mappings (for the all-vs-all mode)\n");
|
||||
fprintf(fp_help, " -p FLOAT min secondary-to-primary score ratio [%g]\n", opt.pri_ratio);
|
||||
fprintf(fp_help, " -N INT retain at most INT secondary alignments [%d]\n", opt.best_n);
|
||||
fprintf(fp_help, " -G NUM max intron length (only effective following -x splice) [200k]\n");
|
||||
fprintf(fp_help, " Alignment:\n");
|
||||
fprintf(fp_help, " -A INT matching score [%d]\n", opt.a);
|
||||
fprintf(fp_help, " -B INT mismatch penalty [%d]\n", opt.b);
|
||||
fprintf(fp_help, " -B INT mismatch penalty (larger value for lower divergence) [%d]\n", opt.b);
|
||||
fprintf(fp_help, " -O INT[,INT] gap open penalty [%d,%d]\n", opt.q, opt.q2);
|
||||
fprintf(fp_help, " -E INT[,INT] gap extension penalty; a k-long gap costs min{O1+k*E1,O2+k*E2} [%d,%d]\n", opt.e, opt.e2);
|
||||
fprintf(fp_help, " -z INT Z-drop score [%d]\n", opt.zdrop);
|
||||
fprintf(fp_help, " -z INT[,INT] Z-drop score and inversion Z-drop score [%d,%d]\n", opt.zdrop, opt.zdrop_inv);
|
||||
fprintf(fp_help, " -s INT minimal peak DP alignment score [%d]\n", opt.min_dp_max);
|
||||
fprintf(fp_help, " -u CHAR how to find GT-AG. f:transcript strand, b:both strands, n:don't match GT-AG [n]\n");
|
||||
fprintf(fp_help, " Input/Output:\n");
|
||||
fprintf(fp_help, " -a output in the SAM format (PAF by default)\n");
|
||||
fprintf(fp_help, " -Q don't output base quality in SAM\n");
|
||||
fprintf(fp_help, " -o FILE output alignments to FILE [stdout]\n");
|
||||
fprintf(fp_help, " -L write CIGAR with >65535 ops at the CG tag\n");
|
||||
fprintf(fp_help, " -R STR SAM read group line in a format like '@RG\\tID:foo\\tSM:bar' []\n");
|
||||
fprintf(fp_help, " -c output CIGAR in PAF\n");
|
||||
fprintf(fp_help, " -S output the cs tag in PAF (cs encodes both query and ref sequences)\n");
|
||||
fprintf(fp_help, " --cs[=STR] output the cs tag; STR is 'short' (if absent) or 'long' [none]\n");
|
||||
fprintf(fp_help, " --MD output the MD tag\n");
|
||||
fprintf(fp_help, " --eqx write =/X CIGAR operators\n");
|
||||
fprintf(fp_help, " -Y use soft clipping for supplementary alignments\n");
|
||||
fprintf(fp_help, " -t INT number of threads [%d]\n", n_threads);
|
||||
fprintf(fp_help, " -K NUM minibatch size [200M]\n");
|
||||
fprintf(fp_help, " -K NUM minibatch size for mapping [500M]\n");
|
||||
// fprintf(fp_help, " -v INT verbose level [%d]\n", mm_verbose);
|
||||
fprintf(fp_help, " --version show version number\n");
|
||||
fprintf(fp_help, " Preset:\n");
|
||||
fprintf(fp_help, " -x STR preset (recommended to be applied before other options) []\n");
|
||||
fprintf(fp_help, " map10k/map-pb: -Hk19 (PacBio/ONT vs reference mapping)\n");
|
||||
fprintf(fp_help, " map-ont: -k15 (slightly more sensitive than 'map10k' for ONT vs reference)\n");
|
||||
fprintf(fp_help, " asm5: -k19 -w19 -A1 -B19 -O39,81 -E3,1 -s200 -z200 (asm to ref mapping; break at 5%% div.)\n");
|
||||
fprintf(fp_help, " asm10: -k19 -w19 -A1 -B9 -O16,41 -E2,1 -s200 -z200 (asm to ref mapping; break at 10%% div.)\n");
|
||||
fprintf(fp_help, " ava-pb: -Hk19 -w5 -Xp0 -m100 -g10000 -K500m --max-chain-skip 25 (PacBio read overlap)\n");
|
||||
fprintf(fp_help, " ava-ont: -k15 -w5 -Xp0 -m100 -g10000 -K500m --max-chain-skip 25 (ONT read overlap)\n");
|
||||
fprintf(fp_help, " splice: long-read spliced alignment (see minimap2.1 for details)\n");
|
||||
fprintf(fp_help, "\nSee `man ./minimap2.1' for detailed description of command-line options.\n");
|
||||
fprintf(fp_help, " -x STR preset (always applied before other options; see minimap2.1 for details) []\n");
|
||||
fprintf(fp_help, " - map-pb/map-ont - PacBio CLR/Nanopore vs reference mapping\n");
|
||||
fprintf(fp_help, " - map-hifi - PacBio HiFi reads vs reference mapping\n");
|
||||
fprintf(fp_help, " - ava-pb/ava-ont - PacBio/Nanopore read overlap\n");
|
||||
fprintf(fp_help, " - asm5/asm10/asm20 - asm-to-ref mapping, for ~0.1/1/5%% sequence divergence\n");
|
||||
fprintf(fp_help, " - splice/splice:hq - long-read/Pacbio-CCS spliced alignment\n");
|
||||
fprintf(fp_help, " - sr - genomic short-read mapping\n");
|
||||
fprintf(fp_help, "\nSee `man ./minimap2.1' for detailed description of these and other advanced command-line options.\n");
|
||||
return fp_help == stdout? 0 : 1;
|
||||
}
|
||||
|
||||
is_idx = mm_idx_is_idx(argv[optind]);
|
||||
if (is_idx < 0) {
|
||||
fprintf(stderr, "[ERROR] failed to open file '%s'\n", argv[optind]);
|
||||
if ((opt.flag & MM_F_SR) && argc - o.ind > 3) {
|
||||
fprintf(stderr, "[ERROR] incorrect input: in the sr mode, please specify no more than two query files.\n");
|
||||
return 1;
|
||||
}
|
||||
if (!is_idx && fnw == 0 && argc - optind < 2) {
|
||||
preset_arg = (string)argv[o.ind] + "_" + preset_arg + "_minimizers_key_value_sorted";
|
||||
idx_rdr = mm_idx_reader_open(argv[o.ind], &ipt, fnw);
|
||||
if (idx_rdr == 0) {
|
||||
fprintf(stderr, "[ERROR] failed to open file '%s': %s\n", argv[o.ind], strerror(errno));
|
||||
return 1;
|
||||
}
|
||||
if (!idx_rdr->is_idx && fnw == 0 && argc - o.ind < 2) {
|
||||
fprintf(stderr, "[ERROR] missing input: please specify a query file to map or option -d to keep the index\n");
|
||||
mm_idx_reader_close(idx_rdr);
|
||||
return 1;
|
||||
}
|
||||
if (is_idx) fpr = fopen(argv[optind], "rb");
|
||||
else fp = mm_bseq_open(argv[optind]);
|
||||
if (fnw) fpw = fopen(fnw, "wb");
|
||||
if (opt.flag & MM_F_OUT_SAM)
|
||||
mm_write_sam_hdr_no_SQ(rg, MM_VERSION, argc, argv);
|
||||
for (;;) {
|
||||
mm_idx_t *mi;
|
||||
if (fpr) {
|
||||
mi = mm_idx_load(fpr);
|
||||
if (mi == 0) break;
|
||||
if (idx_par_set && mm_verbose >= 2 && (mi->k != k || mi->w != w || mi->is_hpc != is_hpc))
|
||||
fprintf(stderr, "[WARNING] \033[1;31mIndexing parameters on the command line (-k/-w/-H) overridden by parameters in the prebuilt index.\033[0m\n");
|
||||
} else {
|
||||
mi = mm_idx_gen(fp, w, k, bucket_bits, is_hpc, minibatch_size, n_threads, batch_size, keep_name);
|
||||
if (opt.best_n == 0 && (opt.flag&MM_F_CIGAR) && mm_verbose >= 2)
|
||||
fprintf(stderr, "[WARNING]\033[1;31m `-N 0' reduces alignment accuracy. Please use --secondary=no to suppress secondary alignments.\033[0m\n");
|
||||
while ((mi = mm_idx_reader_read(idx_rdr, n_threads)) != 0) {
|
||||
int ret;
|
||||
if ((opt.flag & MM_F_CIGAR) && (mi->flag & MM_I_NO_SEQ)) {
|
||||
fprintf(stderr, "[ERROR] the prebuilt index doesn't contain sequences.\n");
|
||||
mm_idx_destroy(mi);
|
||||
mm_idx_reader_close(idx_rdr);
|
||||
return 1;
|
||||
}
|
||||
if ((opt.flag & MM_F_OUT_SAM) && idx_rdr->n_parts == 1) {
|
||||
if (mm_idx_reader_eof(idx_rdr)) {
|
||||
if (opt.split_prefix == 0)
|
||||
ret = mm_write_sam_hdr(mi, rg, MM_VERSION, argc, argv);
|
||||
else
|
||||
ret = mm_write_sam_hdr(0, rg, MM_VERSION, argc, argv);
|
||||
} else {
|
||||
ret = mm_write_sam_hdr(0, rg, MM_VERSION, argc, argv);
|
||||
if (opt.split_prefix == 0 && mm_verbose >= 2)
|
||||
fprintf(stderr, "[WARNING]\033[1;31m For a multi-part index, no @SQ lines will be outputted. Please use --split-prefix.\033[0m\n");
|
||||
}
|
||||
if (ret != 0) {
|
||||
mm_idx_destroy(mi);
|
||||
mm_idx_reader_close(idx_rdr);
|
||||
return 1;
|
||||
}
|
||||
}
|
||||
if (mi == 0) break;
|
||||
++n_idx_part;
|
||||
if (mm_verbose >= 2 && n_idx_part > 1 && (opt.flag&MM_F_OUT_SAM) && !(opt.flag&MM_F_NO_SAM_SQ))
|
||||
fprintf(stderr, "[WARNING] \033[1;31mSAM output is malformated due to internal @SQ lines. Please add option --no-sam-sq or filter afterwards.\033[0m\n");
|
||||
if (mm_verbose >= 3)
|
||||
fprintf(stderr, "[M::%s::%.3f*%.2f] loaded/built the index for %d target sequence(s)\n",
|
||||
__func__, realtime() - mm_realtime0, cputime() / (realtime() - mm_realtime0), mi->n_seq);
|
||||
if (fpw) {
|
||||
mm_idx_dump(fpw, mi);
|
||||
if (mm_verbose >= 3)
|
||||
fprintf(stderr, "[M::%s::%.3f*%.2f] dumpped the (partial) index to disk\n", __func__, realtime() - mm_realtime0, cputime() / (realtime() - mm_realtime0));
|
||||
}
|
||||
if (argc != optind + 1) mm_mapopt_update(&opt, mi);
|
||||
if (argc != o.ind + 1) mm_mapopt_update(&opt, mi);
|
||||
if (mm_verbose >= 3) mm_idx_stat(mi);
|
||||
for (i = optind + 1; i < argc; ++i)
|
||||
mm_map_file(mi, argv[i], &opt, n_threads, minibatch_size);
|
||||
mm_idx_destroy(mi);
|
||||
#ifdef LISA_INDEX
|
||||
mm_idx_dump_hash(preset_arg.c_str(), mi);
|
||||
#endif
|
||||
if (junc_bed) mm_idx_bed_read(mi, junc_bed, 1);
|
||||
if (alt_list) mm_idx_alt_read(mi, alt_list);
|
||||
if (argc - (o.ind + 1) == 0) {
|
||||
mm_idx_destroy(mi);
|
||||
continue; // no query files
|
||||
}
|
||||
ret = 0;
|
||||
#ifdef LISA_HASH
|
||||
fprintf(stderr, "Using LISA_HASH..\n");
|
||||
mm_idx_destroy_mm_hash(mi);
|
||||
char* prefix;
|
||||
lh = new lisa_hash<uint64_t, uint64_t>(preset_arg, prefix);
|
||||
fprintf(stderr, "Loading done.\n");
|
||||
// total_time = __rdtsc();
|
||||
// fprintf(stderr, "\nIndexing Real time: %.3f sec;\n", realtime() - mapping_time);
|
||||
#endif
|
||||
mm_realtime0 = realtime();
|
||||
if (!(opt.flag & MM_F_FRAG_MODE)) {
|
||||
for (i = o.ind + 1; i < argc; ++i) {
|
||||
ret = mm_map_file(mi, argv[i], &opt, n_threads);
|
||||
if (ret < 0) break;
|
||||
}
|
||||
} else {
|
||||
ret = mm_map_file_frag(mi, argc - (o.ind + 1), (const char**)&argv[o.ind + 1], &opt, n_threads);
|
||||
}
|
||||
//mm_idx_destroy(mi);
|
||||
if (ret < 0) {
|
||||
fprintf(stderr, "ERROR: failed to map the query file\n");
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
}
|
||||
if (fpw) fclose(fpw);
|
||||
if (fpr) fclose(fpr);
|
||||
if (fp) mm_bseq_close(fp);
|
||||
#ifdef LISA_HASH
|
||||
mm_idx_destroy_seq(mi);
|
||||
#else
|
||||
mm_idx_destroy(mi);
|
||||
#endif
|
||||
n_parts = idx_rdr->n_parts;
|
||||
mm_idx_reader_close(idx_rdr);
|
||||
|
||||
fprintf(stderr, "[M::%s] Version: %s\n", __func__, MM_VERSION);
|
||||
fprintf(stderr, "[M::%s] CMD:", __func__);
|
||||
for (i = 0; i < argc; ++i)
|
||||
fprintf(stderr, " %s", argv[i]);
|
||||
fprintf(stderr, "\n[M::%s] Real time: %.3f sec; CPU: %.3f sec\n", __func__, realtime() - mm_realtime0, cputime());
|
||||
if (opt.split_prefix)
|
||||
mm_split_merge(argc - (o.ind + 1), (const char**)&argv[o.ind + 1], &opt, n_parts);
|
||||
|
||||
if (fflush(stdout) == EOF) {
|
||||
perror("[ERROR] failed to write the results");
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
|
||||
if (mm_verbose >= 3) {
|
||||
fprintf(stderr, "[M::%s] Version: %s\n", __func__, MM_VERSION);
|
||||
fprintf(stderr, "[M::%s] CMD:", __func__);
|
||||
for (i = 0; i < argc; ++i)
|
||||
fprintf(stderr, " %s", argv[i]);
|
||||
fprintf(stderr, "\n[M::%s] Real time: %.3f sec; CPU: %.3f sec; Peak RSS: %.3f GB\n", __func__, realtime() - mm_realtime0, cputime(), peakrss() / 1024.0 / 1024.0 / 1024.0);
|
||||
}
|
||||
|
||||
fprintf(stderr, "minimizer-lookup: %lld dp: %lld rmq: %lld rmq_t1: %lld rmq_t2: %lld rmq_t3: %lld rmq_t4: %lld alignment: %lld %lld\n", minimizer_lookup_time, dp_time, rmq_time, rmq_t1, rmq_t2, rmq_t3, rmq_t4, alignment_time, avg);
|
||||
#ifdef LISA_HASH
|
||||
delete lh;
|
||||
#endif
|
||||
return 0;
|
||||
}
|
||||
|
||||
@@ -5,147 +5,420 @@
|
||||
#include <stdio.h>
|
||||
#include <sys/types.h>
|
||||
|
||||
#define MM_IDX_DEF_B 14
|
||||
#define MM_F_NO_DIAG 0x001 // no exact diagonal hit
|
||||
#define MM_F_NO_DUAL 0x002 // skip pairs where query name is lexicographically larger than target name
|
||||
#define MM_F_CIGAR 0x004
|
||||
#define MM_F_OUT_SAM 0x008
|
||||
#define MM_F_NO_QUAL 0x010
|
||||
#define MM_F_OUT_CG 0x020
|
||||
#define MM_F_OUT_CS 0x040
|
||||
#define MM_F_SPLICE 0x080 // splice mode
|
||||
#define MM_F_SPLICE_FOR 0x100 // match GT-AG
|
||||
#define MM_F_SPLICE_REV 0x200 // match CT-AC, the reverse complement of GT-AG
|
||||
#define MM_F_NO_LJOIN 0x400
|
||||
#define MM_F_OUT_CS_LONG 0x800
|
||||
#define MM_F_SR 0x1000
|
||||
#define MM_F_FRAG_MODE 0x2000
|
||||
#define MM_F_NO_PRINT_2ND 0x4000
|
||||
#define MM_F_2_IO_THREADS 0x8000
|
||||
#define MM_F_LONG_CIGAR 0x10000
|
||||
#define MM_F_INDEPEND_SEG 0x20000
|
||||
#define MM_F_SPLICE_FLANK 0x40000
|
||||
#define MM_F_SOFTCLIP 0x80000
|
||||
#define MM_F_FOR_ONLY 0x100000
|
||||
#define MM_F_REV_ONLY 0x200000
|
||||
#define MM_F_HEAP_SORT 0x400000
|
||||
#define MM_F_ALL_CHAINS 0x800000
|
||||
#define MM_F_OUT_MD 0x1000000
|
||||
#define MM_F_COPY_COMMENT 0x2000000
|
||||
#define MM_F_EQX 0x4000000 // use =/X instead of M
|
||||
#define MM_F_PAF_NO_HIT 0x8000000 // output unmapped reads to PAF
|
||||
#define MM_F_NO_END_FLT 0x10000000
|
||||
#define MM_F_HARD_MLEVEL 0x20000000
|
||||
#define MM_F_SAM_HIT_ONLY 0x40000000
|
||||
#define MM_F_RMQ (0x80000000LL)
|
||||
#define MM_F_QSTRAND (0x100000000LL)
|
||||
#define MM_F_NO_INV (0x200000000LL)
|
||||
|
||||
#define MM_F_NO_SELF 0x001
|
||||
#define MM_F_AVA 0x002
|
||||
#define MM_F_CIGAR 0x004
|
||||
#define MM_F_OUT_SAM 0x008
|
||||
#define MM_F_NO_QUAL 0x010
|
||||
#define MM_F_OUT_CG 0x020
|
||||
#define MM_F_OUT_CS 0x040
|
||||
#define MM_F_SPLICE 0x080
|
||||
#define MM_F_SPLICE_FOR 0x100
|
||||
#define MM_F_SPLICE_REV 0x200
|
||||
#define MM_F_SPLICE_BOTH 0x400
|
||||
#define MM_F_NO_SAM_SQ 0x800
|
||||
#define MM_I_HPC 0x1
|
||||
#define MM_I_NO_SEQ 0x2
|
||||
#define MM_I_NO_NAME 0x4
|
||||
|
||||
#define MM_IDX_MAGIC "MMI\2"
|
||||
|
||||
#define MM_MAX_SEG 255
|
||||
|
||||
#define MM_CIGAR_MATCH 0
|
||||
#define MM_CIGAR_INS 1
|
||||
#define MM_CIGAR_DEL 2
|
||||
#define MM_CIGAR_N_SKIP 3
|
||||
#define MM_CIGAR_SOFTCLIP 4
|
||||
#define MM_CIGAR_HARDCLIP 5
|
||||
#define MM_CIGAR_PADDING 6
|
||||
#define MM_CIGAR_EQ_MATCH 7
|
||||
#define MM_CIGAR_X_MISMATCH 8
|
||||
|
||||
#define MM_CIGAR_STR "MIDNSHP=XB"
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
typedef struct {
|
||||
uint64_t x, y;
|
||||
} mm128_t;
|
||||
|
||||
// emulate 128-bit integers and arrays
|
||||
typedef struct { uint64_t x, y; } mm128_t;
|
||||
typedef struct { size_t n, m; mm128_t *a; } mm128_v;
|
||||
typedef struct { size_t n, m; uint64_t *a; } uint64_v;
|
||||
typedef struct { size_t n, m; uint32_t *a; } uint32_v;
|
||||
|
||||
typedef struct {
|
||||
mm128_v a; // (minimizer, position) array
|
||||
int32_t n; // size of the _p_ array
|
||||
uint64_t *p; // position array for minimizers appearing >1 times
|
||||
void *h; // hash table indexing _p_ and minimizers appearing once
|
||||
} mm_idx_bucket_t;
|
||||
|
||||
// minimap2 index
|
||||
typedef struct {
|
||||
char *name; // name of the db sequence
|
||||
uint64_t offset; // offset in mm_idx_t::S
|
||||
uint32_t len; // length
|
||||
uint32_t is_alt;
|
||||
} mm_idx_seq_t;
|
||||
|
||||
typedef struct {
|
||||
int32_t b, w, k, is_hpc;
|
||||
uint32_t n_seq; // number of reference sequences
|
||||
mm_idx_seq_t *seq; // sequence name, length and offset
|
||||
uint32_t *S; // 4-bit packed sequence
|
||||
mm_idx_bucket_t *B; // index
|
||||
void *km;
|
||||
int32_t b, w, k, flag;
|
||||
uint32_t n_seq; // number of reference sequences
|
||||
int32_t index;
|
||||
int32_t n_alt;
|
||||
mm_idx_seq_t *seq; // sequence name, length and offset
|
||||
uint32_t *S; // 4-bit packed sequence
|
||||
struct mm_idx_bucket_s *B; // index (hidden)
|
||||
struct mm_idx_intv_s *I; // intervals (hidden)
|
||||
void *km, *h;
|
||||
} mm_idx_t;
|
||||
|
||||
// minimap2 alignment
|
||||
typedef struct {
|
||||
uint32_t capacity;
|
||||
int32_t dp_score, dp_max, dp_max2;
|
||||
uint32_t blen;
|
||||
uint32_t n_diff;
|
||||
uint32_t n_ambi:30, trans_strand:2;
|
||||
uint32_t n_cigar;
|
||||
uint32_t capacity; // the capacity of cigar[]
|
||||
int32_t dp_score, dp_max, dp_max2; // DP score; score of the max-scoring segment; score of the best alternate mappings
|
||||
uint32_t n_ambi:30, trans_strand:2; // number of ambiguous bases; transcript strand: 0 for unknown, 1 for +, 2 for -
|
||||
uint32_t n_cigar; // number of cigar operations in cigar[]
|
||||
uint32_t cigar[];
|
||||
} mm_extra_t;
|
||||
|
||||
typedef struct {
|
||||
int32_t id;
|
||||
uint32_t cnt:31, rev:1;
|
||||
uint32_t rid:31, inv:1;
|
||||
int32_t score;
|
||||
int32_t qs, qe, rs, re;
|
||||
int32_t parent, subsc;
|
||||
int32_t as;
|
||||
int32_t fuzzy_mlen, fuzzy_blen;
|
||||
uint32_t mapq:8, split:2, sam_pri:1, n_sub:21; // TODO: n_sub is not used for now
|
||||
int32_t id; // ID for internal uses (see also parent below)
|
||||
int32_t cnt; // number of minimizers; if on the reverse strand
|
||||
int32_t rid; // reference index; if this is an alignment from inversion rescue
|
||||
int32_t score; // DP alignment score
|
||||
int32_t qs, qe, rs, re; // query start and end; reference start and end
|
||||
int32_t parent, subsc; // parent==id if primary; best alternate mapping score
|
||||
int32_t as; // offset in the a[] array (for internal uses only)
|
||||
int32_t mlen, blen; // seeded exact match length; seeded alignment block length
|
||||
int32_t n_sub; // number of suboptimal mappings
|
||||
int32_t score0; // initial chaining score (before chain merging/spliting)
|
||||
uint32_t mapq:8, split:2, rev:1, inv:1, sam_pri:1, proper_frag:1, pe_thru:1, seg_split:1, seg_id:8, split_inv:1, is_alt:1, dummy:6;
|
||||
uint32_t hash;
|
||||
float div;
|
||||
mm_extra_t *p;
|
||||
} mm_reg1_t;
|
||||
|
||||
// indexing and mapping options
|
||||
typedef struct {
|
||||
float max_occ_frac;
|
||||
float mid_occ_frac;
|
||||
int sdust_thres; // score threshold for SDUST; 0 to disable
|
||||
int flag; // see MM_F_* macros
|
||||
short k, w, flag, bucket_bits;
|
||||
int64_t mini_batch_size;
|
||||
uint64_t batch_size;
|
||||
} mm_idxopt_t;
|
||||
|
||||
int bw; // bandwidth
|
||||
typedef struct {
|
||||
int64_t flag; // see MM_F_* macros
|
||||
int seed;
|
||||
int sdust_thres; // score threshold for SDUST; 0 to disable
|
||||
|
||||
int max_qlen; // max query length
|
||||
|
||||
int bw, bw_long; // bandwidth
|
||||
int max_gap, max_gap_ref; // break a chain if there are no minimizers in a max_gap window
|
||||
int max_chain_skip;
|
||||
int min_cnt;
|
||||
int min_chain_score;
|
||||
int max_frag_len;
|
||||
int max_chain_skip, max_chain_iter;
|
||||
int min_cnt; // min number of minimizers on each chain
|
||||
int min_chain_score; // min chaining score
|
||||
float chain_gap_scale;
|
||||
int rmq_size_cap, rmq_inner_dist;
|
||||
int rmq_rescue_size;
|
||||
float rmq_rescue_ratio;
|
||||
|
||||
float mask_level;
|
||||
int mask_len;
|
||||
float pri_ratio;
|
||||
int best_n;
|
||||
int best_n; // top best_n chains are subjected to DP alignment
|
||||
|
||||
int max_join_long, max_join_short;
|
||||
int min_join_flank_sc;
|
||||
float alt_drop;
|
||||
|
||||
int a, b, q, e, q2, e2; // matching score, mismatch, gap-open and gap-ext penalties
|
||||
int noncan;
|
||||
int zdrop;
|
||||
int min_dp_max;
|
||||
int sc_ambi; // score when one or both bases are "N"
|
||||
int noncan; // cost of non-canonical splicing sites
|
||||
int junc_bonus;
|
||||
int zdrop, zdrop_inv; // break alignment if alignment score drops too fast along the diagonal
|
||||
int end_bonus;
|
||||
int min_dp_max; // drop an alignment if the score of the max scoring segment is below this threshold
|
||||
int min_ksw_len;
|
||||
int anchor_ext_len, anchor_ext_shift;
|
||||
float max_clip_ratio; // drop an alignment if BOTH ends are clipped above this ratio
|
||||
|
||||
int max_occ;
|
||||
int mid_occ;
|
||||
int rank_min_len;
|
||||
float rank_frac;
|
||||
|
||||
int pe_ori, pe_bonus;
|
||||
|
||||
float mid_occ_frac; // only used by mm_mapopt_update(); see below
|
||||
int32_t min_mid_occ, max_mid_occ;
|
||||
int32_t mid_occ; // ignore seeds with occurrences above this threshold
|
||||
int32_t max_occ, max_max_occ, occ_dist;
|
||||
int64_t mini_batch_size; // size of a batch of query bases to process in parallel
|
||||
int64_t max_sw_mat;
|
||||
int64_t cap_kalloc;
|
||||
|
||||
const char *split_prefix;
|
||||
} mm_mapopt_t;
|
||||
|
||||
extern int mm_verbose, mm_dbg_flag;
|
||||
extern double mm_realtime0;
|
||||
// index reader
|
||||
typedef struct {
|
||||
int is_idx, n_parts;
|
||||
int64_t idx_size;
|
||||
mm_idxopt_t opt;
|
||||
FILE *fp_out;
|
||||
union {
|
||||
struct mm_bseq_file_s *seq;
|
||||
FILE *idx;
|
||||
} fp;
|
||||
} mm_idx_reader_t;
|
||||
|
||||
struct mm_tbuf_s;
|
||||
// memory buffer for thread-local storage during mapping
|
||||
typedef struct mm_tbuf_s mm_tbuf_t;
|
||||
|
||||
struct mm_bseq_file_s;
|
||||
// global variables
|
||||
extern int mm_verbose, mm_dbg_flag; // verbose level: 0 for no info, 1 for error, 2 for warning, 3 for message (default); debugging flag
|
||||
extern double mm_realtime0; // wall-clock timer
|
||||
|
||||
#define mm_seq4_set(s, i, c) ((s)[(i)>>3] |= (uint32_t)(c) << (((i)&7)<<2))
|
||||
#define mm_seq4_get(s, i) ((s)[(i)>>3] >> (((i)&7)<<2) & 0xf)
|
||||
/**
|
||||
* Set default or preset parameters
|
||||
*
|
||||
* @param preset NULL to set all parameters as default; otherwise apply preset to affected parameters
|
||||
* @param io pointer to indexing parameters
|
||||
* @param mo pointer to mapping parameters
|
||||
*
|
||||
* @return 0 if success; -1 if _present_ unknown
|
||||
*/
|
||||
int mm_set_opt(const char *preset, mm_idxopt_t *io, mm_mapopt_t *mo);
|
||||
int mm_check_opt(const mm_idxopt_t *io, const mm_mapopt_t *mo);
|
||||
|
||||
// compute minimizers
|
||||
void mm_sketch(void *km, const char *str, int len, int w, int k, uint32_t rid, int is_hpc, mm128_v *p);
|
||||
/**
|
||||
* Update mm_mapopt_t::mid_occ via mm_mapopt_t::mid_occ_frac
|
||||
*
|
||||
* If mm_mapopt_t::mid_occ is 0, this function sets it to a number such that no
|
||||
* more than mm_mapopt_t::mid_occ_frac of minimizers in the index have a higher
|
||||
* occurrence.
|
||||
*
|
||||
* @param opt mapping parameters
|
||||
* @param mi minimap2 index
|
||||
*/
|
||||
void mm_mapopt_update(mm_mapopt_t *opt, const mm_idx_t *mi);
|
||||
|
||||
// minimizer indexing
|
||||
mm_idx_t *mm_idx_init(int w, int k, int b, int is_hpc);
|
||||
void mm_idx_destroy(mm_idx_t *mi);
|
||||
mm_idx_t *mm_idx_gen(struct mm_bseq_file_s *fp, int w, int k, int b, int is_hpc, int mini_batch_size, int n_threads, uint64_t batch_size, int keep_name);
|
||||
uint32_t mm_idx_cal_max_occ(const mm_idx_t *mi, float f);
|
||||
void mm_idx_stat(const mm_idx_t *idx);
|
||||
const uint64_t *mm_idx_get(const mm_idx_t *mi, uint64_t minier, int *n);
|
||||
int mm_idx_getseq(const mm_idx_t *mi, uint32_t rid, uint32_t st, uint32_t en, uint8_t *seq);
|
||||
void mm_mapopt_max_intron_len(mm_mapopt_t *opt, int max_intron_len);
|
||||
|
||||
mm_idx_t *mm_idx_build(const char *fn, int w, int k, int is_hpc, int n_threads);
|
||||
int mm_idx_is_idx(const char *fn);
|
||||
/**
|
||||
* Initialize an index reader
|
||||
*
|
||||
* @param fn index or fasta/fastq file name (this function tests the file type)
|
||||
* @param opt indexing parameters
|
||||
* @param fn_out if not NULL, write built index to this file
|
||||
*
|
||||
* @return an index reader on success; NULL if fail to open _fn_
|
||||
*/
|
||||
mm_idx_reader_t *mm_idx_reader_open(const char *fn, const mm_idxopt_t *opt, const char *fn_out);
|
||||
|
||||
// minimizer index I/O
|
||||
void mm_idx_dump(FILE *fp, const mm_idx_t *mi);
|
||||
/**
|
||||
* Read/build an index
|
||||
*
|
||||
* If the input file is an index file, this function reads one part of the
|
||||
* index and returns. If the input file is a sequence file (fasta or fastq),
|
||||
* this function constructs the index for about mm_idxopt_t::batch_size bases.
|
||||
* Importantly, for a huge collection of sequences, this function may only
|
||||
* return an index for part of sequences. It needs to be repeatedly called
|
||||
* to traverse the entire index/sequence file.
|
||||
*
|
||||
* @param r index reader
|
||||
* @param n_threads number of threads for constructing index
|
||||
*
|
||||
* @return an index on success; NULL if reaching the end of the input file
|
||||
*/
|
||||
mm_idx_t *mm_idx_reader_read(mm_idx_reader_t *r, int n_threads);
|
||||
|
||||
/**
|
||||
* Destroy/deallocate an index reader
|
||||
*
|
||||
* @param r index reader
|
||||
*/
|
||||
void mm_idx_reader_close(mm_idx_reader_t *r);
|
||||
|
||||
int mm_idx_reader_eof(const mm_idx_reader_t *r);
|
||||
|
||||
/**
|
||||
* Check whether the file contains a minimap2 index
|
||||
*
|
||||
* @param fn file name
|
||||
*
|
||||
* @return the file size if fn is an index file; 0 if fn is not.
|
||||
*/
|
||||
int64_t mm_idx_is_idx(const char *fn);
|
||||
|
||||
/**
|
||||
* Load a part of an index
|
||||
*
|
||||
* Given a uni-part index, this function loads the entire index into memory.
|
||||
* Given a multi-part index, it loads one part only and places the file pointer
|
||||
* at the end of that part.
|
||||
*
|
||||
* @param fp pointer to FILE object
|
||||
*
|
||||
* @return minimap2 index read from fp
|
||||
*/
|
||||
mm_idx_t *mm_idx_load(FILE *fp);
|
||||
|
||||
// mapping
|
||||
void mm_mapopt_init(mm_mapopt_t *opt);
|
||||
void mm_mapopt_update(mm_mapopt_t *opt, const mm_idx_t *mi);
|
||||
/**
|
||||
* Append an index (or one part of a full index) to file
|
||||
*
|
||||
* @param fp pointer to FILE object
|
||||
* @param mi minimap2 index
|
||||
*/
|
||||
void mm_idx_dump(FILE *fp, const mm_idx_t *mi);
|
||||
|
||||
/**
|
||||
* Store hash table from minimap2 index into a file
|
||||
* @param f_name File name for output file
|
||||
* @param mi minimap2 index
|
||||
*/
|
||||
void mm_idx_dump_hash(const char* f_name, const mm_idx_t *mi);
|
||||
|
||||
/**
|
||||
* Create an index from strings in memory
|
||||
*
|
||||
* @param w minimizer window size
|
||||
* @param k minimizer k-mer size
|
||||
* @param is_hpc use HPC k-mer if true
|
||||
* @param bucket_bits number of bits for the first level of the hash table
|
||||
* @param n number of sequences
|
||||
* @param seq sequences in A/C/G/T
|
||||
* @param name sequence names; could be NULL
|
||||
*
|
||||
* @return minimap2 index
|
||||
*/
|
||||
mm_idx_t *mm_idx_str(int w, int k, int is_hpc, int bucket_bits, int n, const char **seq, const char **name);
|
||||
|
||||
/**
|
||||
* Print index statistics to stderr
|
||||
*
|
||||
* @param mi minimap2 index
|
||||
*/
|
||||
void mm_idx_stat(const mm_idx_t *idx);
|
||||
|
||||
/**
|
||||
* Destroy/deallocate an index
|
||||
*
|
||||
* @param r minimap2 index
|
||||
*/
|
||||
void mm_idx_destroy(mm_idx_t *mi);
|
||||
/**
|
||||
* Destroy/deallocate an hash table index
|
||||
*
|
||||
* @param r minimap2 index
|
||||
*/
|
||||
void mm_idx_destroy_mm_hash(mm_idx_t *mi);
|
||||
|
||||
/**
|
||||
* Destroy/deallocate target sequences
|
||||
*
|
||||
* @param r minimap2 index
|
||||
*/
|
||||
void mm_idx_destroy_seq(mm_idx_t *mi);
|
||||
|
||||
/**
|
||||
* Initialize a thread-local buffer for mapping
|
||||
*
|
||||
* Each mapping thread requires a buffer specific to the thread (see mm_map()
|
||||
* below). The primary purpose of this buffer is to reduce frequent heap
|
||||
* allocations across threads. A buffer shall not be used by two or more
|
||||
* threads.
|
||||
*
|
||||
* @return pointer to a thread-local buffer
|
||||
*/
|
||||
mm_tbuf_t *mm_tbuf_init(void);
|
||||
|
||||
/**
|
||||
* Destroy/deallocate a thread-local buffer for mapping
|
||||
*
|
||||
* @param b the buffer
|
||||
*/
|
||||
void mm_tbuf_destroy(mm_tbuf_t *b);
|
||||
|
||||
void *mm_tbuf_get_km(mm_tbuf_t *b);
|
||||
|
||||
/**
|
||||
* Align a query sequence against an index
|
||||
*
|
||||
* This function possibly finds multiple alignments of the query sequence.
|
||||
* The returned array and the mm_reg1_t::p field of each element are allocated
|
||||
* with malloc().
|
||||
*
|
||||
* @param mi minimap2 index
|
||||
* @param l_seq length of the query sequence
|
||||
* @param seq the query sequence
|
||||
* @param n_regs number of hits (out)
|
||||
* @param b thread-local buffer; two mm_map() calls shall not use one buffer at the same time!
|
||||
* @param opt mapping parameters
|
||||
* @param name query name, used for all-vs-all overlapping and debugging
|
||||
*
|
||||
* @return an array of hits which need to be deallocated with free() together
|
||||
* with mm_reg1_t::p of each element. The size is written to _n_regs_.
|
||||
*/
|
||||
mm_reg1_t *mm_map(const mm_idx_t *mi, int l_seq, const char *seq, int *n_regs, mm_tbuf_t *b, const mm_mapopt_t *opt, const char *name);
|
||||
|
||||
int mm_map_file(const mm_idx_t *idx, const char *fn, const mm_mapopt_t *opt, int n_threads, int tbatch_size);
|
||||
void mm_map_frag(const mm_idx_t *mi, int n_segs, const int *qlens, const char **seqs, int *n_regs, mm_reg1_t **regs, mm_tbuf_t *b, const mm_mapopt_t *opt, const char *qname);
|
||||
|
||||
/**
|
||||
* Align a fasta/fastq file and print alignments to stdout
|
||||
*
|
||||
* @param idx minimap2 index
|
||||
* @param fn fasta/fastq file name
|
||||
* @param opt mapping parameters
|
||||
* @param n_threads number of threads
|
||||
*
|
||||
* @return 0 on success; -1 if _fn_ can't be read
|
||||
*/
|
||||
int mm_map_file(const mm_idx_t *idx, const char *fn, const mm_mapopt_t *opt, int n_threads);
|
||||
|
||||
int mm_map_file_frag(const mm_idx_t *idx, int n_segs, const char **fn, const mm_mapopt_t *opt, int n_threads);
|
||||
|
||||
/**
|
||||
* Generate the cs tag (new in 2.12)
|
||||
*
|
||||
* @param km memory blocks; set to NULL if unsure
|
||||
* @param buf buffer to write the cs/MD tag; typicall NULL on the first call
|
||||
* @param max_len max length of the buffer; typically set to 0 on the first call
|
||||
* @param mi index
|
||||
* @param r alignment
|
||||
* @param seq query sequence
|
||||
* @param no_iden true to use : instead of =
|
||||
*
|
||||
* @return the length of cs
|
||||
*/
|
||||
int mm_gen_cs(void *km, char **buf, int *max_len, const mm_idx_t *mi, const mm_reg1_t *r, const char *seq, int no_iden);
|
||||
int mm_gen_MD(void *km, char **buf, int *max_len, const mm_idx_t *mi, const mm_reg1_t *r, const char *seq);
|
||||
|
||||
// query sequence name and sequence in the minimap2 index
|
||||
int mm_idx_index_name(mm_idx_t *mi);
|
||||
int mm_idx_name2id(const mm_idx_t *mi, const char *name);
|
||||
int mm_idx_getseq(const mm_idx_t *mi, uint32_t rid, uint32_t st, uint32_t en, uint8_t *seq);
|
||||
|
||||
int mm_idx_alt_read(mm_idx_t *mi, const char *fn);
|
||||
int mm_idx_bed_read(mm_idx_t *mi, const char *fn, int read_junc);
|
||||
int mm_idx_bed_junc(const mm_idx_t *mi, int32_t ctg, int32_t st, int32_t en, uint8_t *s);
|
||||
|
||||
// deprecated APIs for backward compatibility
|
||||
void mm_mapopt_init(mm_mapopt_t *opt);
|
||||
mm_idx_t *mm_idx_build(const char *fn, int w, int k, int flag, int n_threads);
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
|
||||
+386
-83
@@ -1,4 +1,4 @@
|
||||
.TH minimap2 1 "6 September 2017" "minimap2-2.1.1-r341" "Bioinformatics tools"
|
||||
.TH minimap2 1 "7 August 2021" "minimap2-2.22 (r1101)" "Bioinformatics tools"
|
||||
.SH NAME
|
||||
.PP
|
||||
minimap2 - mapping and alignment between collections of DNA sequences
|
||||
@@ -99,6 +99,14 @@ multiple times to map it against each batch of target sequences.
|
||||
may be ending with k/K/m/M/g/G. NB: mapping quality is incorrect given a
|
||||
multi-part index.
|
||||
.TP
|
||||
.B --idx-no-seq
|
||||
Don't store target sequences in the index. It saves disk space and memory but
|
||||
the index generated with this option will not work with
|
||||
.B -a
|
||||
or
|
||||
.BR -c .
|
||||
When base-level alignment is not requested, this option is automatically applied.
|
||||
.TP
|
||||
.BI -d \ FILE
|
||||
Save the minimizer index of
|
||||
.I target.fa
|
||||
@@ -113,21 +121,56 @@ provided as the target sequences, options
|
||||
.BR -w ,
|
||||
.B -I
|
||||
will be effectively overridden by the options stored in the index file.
|
||||
.TP
|
||||
.BI --alt \ FILE
|
||||
List of ALT contigs [null]
|
||||
.TP
|
||||
.BI --alt-drop \ FLOAT
|
||||
Drop ALT hits by
|
||||
.I FLOAT
|
||||
fraction when ranking and computing mapping quality [0.15]
|
||||
.SS Mapping options
|
||||
.TP 10
|
||||
.BI -f \ FLOAT
|
||||
Ignore top
|
||||
.BI -f \ FLOAT | INT1 [, INT2 ]
|
||||
If fraction, ignore top
|
||||
.I FLOAT
|
||||
fraction of most frequent minimizers [0.0002]
|
||||
fraction of most frequent minimizers [0.0002]. If integer,
|
||||
ignore minimizers occuring more than
|
||||
.I INT1
|
||||
times.
|
||||
.I INT2
|
||||
is only effective in the
|
||||
.B --sr
|
||||
or
|
||||
.B -xsr
|
||||
mode, which sets the threshold for a second round of seeding.
|
||||
.TP
|
||||
.BI -g \ INT
|
||||
Stop chain enlongation if there are no minimizers in
|
||||
.IR INT -bp
|
||||
[10000].
|
||||
.BI -U \ INT1 [, INT2 ]
|
||||
Lower and upper bounds of k-mer occurrences [10,1000000]. The final k-mer occurrence threshold is
|
||||
.RI max{ INT1 ,\ min{ INT2 ,
|
||||
.BR -f }}.
|
||||
This option prevents excessively small or large
|
||||
.B -f
|
||||
estimated from the input reference. It deprecates
|
||||
.B --min-occ-floor
|
||||
in earlier versions of minimap2.
|
||||
.TP
|
||||
.BI -r \ INT
|
||||
Bandwidth used in chaining and DP-based alignment [1000]. This option
|
||||
approximately controls the maximum gap size.
|
||||
.BI -e \ INT
|
||||
Sample a high-frequency minimizer every
|
||||
.I INT
|
||||
basepairs [500].
|
||||
.TP
|
||||
.BI -g \ NUM
|
||||
Stop chain enlongation if there are no minimizers within
|
||||
.IR NUM -bp
|
||||
[10k].
|
||||
.TP
|
||||
.BI -r \ NUM1 [, NUM2 ]
|
||||
Bandwidth for chaining and base alignment [500,20k].
|
||||
.I NUM1
|
||||
is used for initial chaining and alignment extension;
|
||||
.I NUM2
|
||||
for RMQ-based re-chaining and closing gaps in alignments.
|
||||
.TP
|
||||
.BI -n \ INT
|
||||
Discard chains consisting of
|
||||
@@ -140,20 +183,42 @@ Discard chains with chaining score
|
||||
[40]. Chaining score equals the approximate number of matching bases minus a
|
||||
concave gap penalty. It is computed with dynamic programming.
|
||||
.TP
|
||||
.B -D
|
||||
If query sequence name/length are identical to the target name/length, ignore
|
||||
diagonal anchors. This option also reduces DP-based extension along the
|
||||
diagonal.
|
||||
.TP
|
||||
.B -P
|
||||
Retain all chains and don't attempt to set primary chains. Options
|
||||
.B -p
|
||||
and
|
||||
.B -N
|
||||
have no effect when this option is in use.
|
||||
.TP
|
||||
.BR --dual = yes | no
|
||||
If
|
||||
.BR no ,
|
||||
skip query-target pairs wherein the query name is lexicographically greater
|
||||
than the target name [yes]
|
||||
.TP
|
||||
.B -X
|
||||
Perform all-vs-all mapping. In this mode, if the query sequence name is
|
||||
lexicographically larger than the target sequence name, the hits between them
|
||||
will be suppressed; if the query sequence name is the same as the target name,
|
||||
diagonal minimizer hits will also be suppressed.
|
||||
Equivalent to
|
||||
.RB ' -DP
|
||||
.BR --dual = no
|
||||
.BR --no-long-join '.
|
||||
Primarily used for all-vs-all read overlapping.
|
||||
.TP
|
||||
.BI -p \ FLOAT
|
||||
Minimal secondary-to-primary score ratio to output secondary mappings [0.8].
|
||||
Between two chains overlaping over half of the shorter chain (controled by
|
||||
.BR --mask-level ),
|
||||
Between two chains overlaping over half of the shorter chain (controlled by
|
||||
.BR -M ),
|
||||
the chain with a lower score is secondary to the chain with a higher score.
|
||||
If the ratio of the scores is below
|
||||
.IR FLOAT ,
|
||||
the secondary chain will not be outputted or extended with DP alignment later.
|
||||
This option has no effect when
|
||||
.B -X
|
||||
is applied.
|
||||
.TP
|
||||
.BI -N \ INT
|
||||
Output at most
|
||||
@@ -163,18 +228,90 @@ secondary alignments [5]. This option has no effect when
|
||||
is applied.
|
||||
.TP
|
||||
.BI -G \ NUM
|
||||
Maximal intron length in the splice mode [200k]. This option also changes the
|
||||
bandwidth to
|
||||
Maximum gap on the reference (effective with
|
||||
.BR -xsplice / --splice ).
|
||||
This option also changes the chaining and alignment band width to
|
||||
.IR NUM .
|
||||
Increasing this option slows down spliced alignment.
|
||||
Increasing this option slows down spliced alignment. [200k]
|
||||
.TP
|
||||
.BI -F \ NUM
|
||||
Maximum fragment length (aka insert size; effective with
|
||||
.BR -xsr / --frag = yes )
|
||||
[800]
|
||||
.TP
|
||||
.BI -M \ FLOAT
|
||||
Mark as secondary a chain that overlaps with a better chain by
|
||||
.I FLOAT
|
||||
or more of the shorter chain [0.5]
|
||||
.TP
|
||||
.BR --rmq = no | yes
|
||||
Use the minigraph chaining algorithm [no]. The minigraph algorithm is better
|
||||
for aligning contigs through long INDELs.
|
||||
.TP
|
||||
.B --hard-mask-level
|
||||
Honor option
|
||||
.B -M
|
||||
and disable a heurstic to save unmapped subsequences and disables
|
||||
.BR --mask-len .
|
||||
.TP
|
||||
.BI --mask-len \ NUM
|
||||
Keep an alignment if dropping it leaves an unaligned region on query longer than
|
||||
.IR INT
|
||||
[inf]. Effective without
|
||||
.BR --hard-mask-level .
|
||||
.TP
|
||||
.BI --max-chain-skip \ INT
|
||||
A heuristics that stops chaining early [50]. Minimap2 uses dynamic programming
|
||||
A heuristics that stops chaining early [25]. Minimap2 uses dynamic programming
|
||||
for chaining. The time complexity is quadratic in the number of seeds. This
|
||||
option makes minimap2 exits the inner loop if it repeatedly sees seeds already
|
||||
on chains. Set
|
||||
.I INT
|
||||
to a large number to switch off this heurstics.
|
||||
.TP
|
||||
.BI --max-chain-iter \ INT
|
||||
Check up to
|
||||
.I INT
|
||||
partial chains during chaining [5000]. This is a heuristic to avoid quadratic
|
||||
time complexity in the worst case.
|
||||
.TP
|
||||
.BI --chain-gap-scale \ FLOAT
|
||||
Scale of gap cost during chaining [1.0]
|
||||
.TP
|
||||
.B --no-long-join
|
||||
Disable the long gap patching heuristic. When this option is applied, the
|
||||
maximum alignment gap is mostly controlled by
|
||||
.BR -r .
|
||||
.TP
|
||||
.B --splice
|
||||
Enable the splice alignment mode.
|
||||
.TP
|
||||
.B --sr
|
||||
Enable short-read alignment heuristics. In the short-read mode, minimap2
|
||||
applies a second round of chaining with a higher minimizer occurrence threshold
|
||||
if no good chain is found. In addition, minimap2 attempts to patch gaps between
|
||||
seeds with ungapped alignment.
|
||||
.TP
|
||||
.BI --split-prefix \ STR
|
||||
Prefix to create temporary files. Typically used for a multi-part index.
|
||||
.TP
|
||||
.BR --frag = no | yes
|
||||
Whether to enable the fragment mode [no]
|
||||
.TP
|
||||
.B --for-only
|
||||
Only map to the forward strand of the reference sequences. For paired-end
|
||||
reads in the forward-reverse orientation, the first read is mapped to forward
|
||||
strand of the reference and the second read to the reverse stand.
|
||||
.TP
|
||||
.B --rev-only
|
||||
Only map to the reverse complement strand of the reference sequences.
|
||||
.TP
|
||||
.BR --heap-sort = no | yes
|
||||
If yes, sort anchors with heap merge, instead of radix sort. Heap merge is
|
||||
faster for short reads, but slower for long reads. [no]
|
||||
.TP
|
||||
.B --no-pairing
|
||||
Treat two reads in a pair as independent reads. The mate related fields in SAM
|
||||
are still properly populated.
|
||||
.SS Alignment options
|
||||
.TP 10
|
||||
.BI -A \ INT
|
||||
@@ -194,12 +331,29 @@ Gap extension penalty [2,1]. A gap of length
|
||||
.I k
|
||||
costs
|
||||
.RI min{ O1 + k * E1 , O2 + k * E2 }.
|
||||
In the splice mode, the second gap penalties are not used.
|
||||
.TP
|
||||
.BI -z \ INT
|
||||
Break an alignment if the running score drops too quickly along the diagonal of
|
||||
the DP matrix (diagonal X-drop, or Z-drop) [400]. Increasing the value improves
|
||||
the contiguity of the alignment at the cost of poor alignment in the middle
|
||||
(e.g. caused by a long inversion).
|
||||
.BI -C \ INT
|
||||
Cost for a non-canonical GT-AG splicing (effective with
|
||||
.BR --splice )
|
||||
[0]
|
||||
.TP
|
||||
.BI -z \ INT1[,INT2]
|
||||
Truncate an alignment if the running alignment score drops too quickly along
|
||||
the diagonal of the DP matrix (diagonal X-drop, or Z-drop) [400,200]. If the
|
||||
drop of score is above
|
||||
.IR INT2 ,
|
||||
minimap2 will reverse complement the query in the related region and align
|
||||
again to test small inversions. Minimap2 truncates alignment if there is an
|
||||
inversion or the drop of score is greater than
|
||||
.IR INT1 .
|
||||
Decrease
|
||||
.I INT2
|
||||
to find small inversions at the cost of performance and false positives.
|
||||
Increase
|
||||
.I INT1
|
||||
to improves the contiguity of alignment at the cost of poor alignment in the
|
||||
middle.
|
||||
.TP
|
||||
.BI -s \ INT
|
||||
Minimal peak DP alignment score to output [40]. The peak score is computed from
|
||||
@@ -215,25 +369,125 @@ both strands;
|
||||
.BR n :
|
||||
no attempt to match GT-AG [n]
|
||||
.TP
|
||||
.BI --cost-non-gt-ag \ INT
|
||||
Cost of non-canonical splicing sites [0].
|
||||
.BI --end-bonus \ INT
|
||||
Score bonus when alignment extends to the end of the query sequence [0].
|
||||
.TP
|
||||
.BI --score-N \ INT
|
||||
Score of a mismatch involving ambiguous bases [1].
|
||||
.TP
|
||||
.BR --splice-flank = yes | no
|
||||
Assume the next base to a
|
||||
.B GT
|
||||
donor site tends to be A/G (91% in human and 92% in mouse) and the preceding
|
||||
base to a
|
||||
.B AG
|
||||
acceptor tends to be C/T [no].
|
||||
This trend is evolutionarily conservative, all the way to S. cerevisiae
|
||||
(PMID:18688272). Specifying this option generally leads to higher junction
|
||||
accuracy by several percents, so it is applied by default with
|
||||
.BR --splice .
|
||||
However, the SIRV control does not honor this trend
|
||||
(only ~60%). This option reduces accuracy. If you are benchmarking minimap2
|
||||
on SIRV data, please add
|
||||
.B --splice-flank=no
|
||||
to the command line.
|
||||
.TP
|
||||
.BR --junc-bed \ FILE
|
||||
Gene annotations in the BED12 format (aka 12-column BED), or intron positions
|
||||
in 5-column BED. With this option, minimap2 prefers splicing in annotations.
|
||||
BED12 file can be converted from GTF/GFF3 with `paftools.js gff2bed anno.gtf'
|
||||
[].
|
||||
.TP
|
||||
.BR --junc-bonus \ INT
|
||||
Score bonus for a splice donor or acceptor found in annotation (effective with
|
||||
.BR --junc-bed )
|
||||
[9].
|
||||
.TP
|
||||
.BI --end-seed-pen \ INT
|
||||
Drop a terminal anchor if
|
||||
.IR s <log( g )+ INT ,
|
||||
where
|
||||
.I s
|
||||
is the local alignment score around the anchor and
|
||||
.I g
|
||||
the length of the terminal gap in the chain. This option is only effective
|
||||
with
|
||||
.BR --splice .
|
||||
It helps to avoid tiny terminal exons. [6]
|
||||
.TP
|
||||
.B --no-end-flt
|
||||
Don't filter seeds towards the ends of chains before performing base-level
|
||||
alignment.
|
||||
.TP
|
||||
.BI --cap-sw-mem \ NUM
|
||||
Skip alignment if the DP matrix size is above
|
||||
.IR NUM .
|
||||
Set 0 to disable [100m].
|
||||
.TP
|
||||
.BI --cap-kalloc \ NUM
|
||||
Free thread-local kalloc memory reservoir if after the alignment the size of the reservoir above
|
||||
.IR NUM .
|
||||
Set 0 to disable [0].
|
||||
.SS Input/output options
|
||||
.TP 10
|
||||
.B -a
|
||||
Generate CIGAR and output alignments in the SAM format. Minimap2 outputs in PAF
|
||||
by default.
|
||||
.TP
|
||||
.BI -o \ FILE
|
||||
Output alignments to
|
||||
.I FILE
|
||||
[stdout].
|
||||
.TP
|
||||
.B -Q
|
||||
Ignore base quality in the input file.
|
||||
.TP
|
||||
.B -L
|
||||
Write CIGAR with >65535 operators at the CG tag. Older tools are unable to
|
||||
convert alignments with >65535 CIGAR ops to BAM. This option makes minimap2 SAM
|
||||
compatible with older tools. Newer tools recognizes this tag and reconstruct
|
||||
the real CIGAR in memory.
|
||||
.TP
|
||||
.BI -R \ STR
|
||||
SAM read group line in a format like
|
||||
.B @RG\\\\tID:foo\\\\tSM:bar
|
||||
[].
|
||||
.TP
|
||||
.B -y
|
||||
Copy input FASTA/Q comments to output.
|
||||
.TP
|
||||
.B -c
|
||||
Generate CIGAR. In PAF, the CIGAR is written to the `cg' custom tag.
|
||||
.TP
|
||||
.BI --cs[= STR ]
|
||||
Output the
|
||||
.B cs
|
||||
tag.
|
||||
.I STR
|
||||
can be either
|
||||
.I short
|
||||
or
|
||||
.IR long .
|
||||
If no
|
||||
.I STR
|
||||
is given,
|
||||
.I short
|
||||
is assumed. [none]
|
||||
.TP
|
||||
.B --MD
|
||||
Output the MD tag (see the SAM spec).
|
||||
.TP
|
||||
.B --eqx
|
||||
Output =/X CIGAR operators for sequence match/mismatch.
|
||||
.TP
|
||||
.B -Y
|
||||
In SAM output, use soft clipping for supplementary alignments.
|
||||
.TP
|
||||
.BI --seed \ INT
|
||||
Integer seed for randomizing equally best hits. Minimap2 hashes
|
||||
.I INT
|
||||
and read name when choosing between equally best hits. [11]
|
||||
.TP
|
||||
.BI -t \ INT
|
||||
Number of threads [3]. Minimap2 uses at most three threads when indexing target
|
||||
sequences, and uses up to
|
||||
@@ -241,27 +495,38 @@ sequences, and uses up to
|
||||
threads when mapping (the extra thread is for I/O, which is frequently idle and
|
||||
takes little CPU time).
|
||||
.TP
|
||||
.B -2
|
||||
Use two I/O threads during mapping. By default, minimap2 uses one I/O thread.
|
||||
When I/O is slow (e.g. piping to gzip, or reading from a slow pipe), the I/O
|
||||
thread may become the bottleneck. Apply this option to use one thread for input
|
||||
and another thread for output, at the cost of increased peak RAM.
|
||||
.TP
|
||||
.BI -K \ NUM
|
||||
Number of bases loaded into memory to process in a mini-batch [200M].
|
||||
Number of bases loaded into memory to process in a mini-batch [500M].
|
||||
Similar to option
|
||||
.BR -I ,
|
||||
K/M/G/k/m/g suffix is accepted. A large
|
||||
.I NUM
|
||||
helps load balancing in the multi-threading mode, at the cost of increased
|
||||
memory. Preset
|
||||
.B ava-pb
|
||||
and
|
||||
.B ava-ont
|
||||
use
|
||||
.BR -K500m .
|
||||
memory.
|
||||
.TP
|
||||
.BR --secondary = yes | no
|
||||
Whether to output secondary alignments [yes]
|
||||
.TP
|
||||
.BI --max-qlen \ NUM
|
||||
Filter out query sequences longer than
|
||||
.IR NUM .
|
||||
.TP
|
||||
.B --paf-no-hit
|
||||
In PAF, output unmapped queries; the strand and the reference name fields are
|
||||
set to `*'. Warning: some paftools.js commands may not work with such output
|
||||
for the moment.
|
||||
.TP
|
||||
.B --sam-hit-only
|
||||
In SAM, don't output unmapped reads.
|
||||
.TP
|
||||
.B --version
|
||||
Print version number to stdout
|
||||
.TP
|
||||
.B --no-sam-hdr
|
||||
Don't output SAM header lines. Use this option if the index consists of
|
||||
multiple parts; otherwise the SAM output is malformated due to internal header
|
||||
lines.
|
||||
.SS Preset options
|
||||
.TP 10
|
||||
.BI -x \ STR
|
||||
@@ -273,59 +538,48 @@ Available
|
||||
.I STR
|
||||
are:
|
||||
.RS
|
||||
.TP 8
|
||||
.B map-pb
|
||||
PacBio/Oxford Nanopore read to reference mapping
|
||||
.RB ( -Hk19 )
|
||||
.TP
|
||||
.B map10k
|
||||
The same as
|
||||
.B map-pb
|
||||
.RB ( -Hk19 )
|
||||
.TP
|
||||
.TP 10
|
||||
.B map-ont
|
||||
Slightly more sensitive for Oxford Nanopore to reference mapping
|
||||
.RB ( -k15 ).
|
||||
For PacBio reads, HPC minimizers consistently leads to faster performance and
|
||||
more sensitive results in comparison to normal minimizers. For Oxford Nanopore
|
||||
data, normal minimizers are better, though not much. The effectiveness of HPC
|
||||
is determined by the sequencing error mode.
|
||||
Align noisy long reads of ~10% error rate to a reference genome. This is the
|
||||
default mode.
|
||||
.TP
|
||||
.B map-hifi
|
||||
Align PacBio high-fidelity (HiFi) reads to a reference genome
|
||||
.RB ( -k19
|
||||
.B -w19 -U50,500 -g10k -A1 -B4 -O6,26 -E2,1
|
||||
.BR -s200 ).
|
||||
.TP
|
||||
.B map-pb
|
||||
Align older PacBio continuous long (CLR) reads to a reference genome
|
||||
.RB ( -Hk19 ).
|
||||
.TP
|
||||
.B asm5
|
||||
Long assembly to reference mapping
|
||||
.RB ( -k19
|
||||
.B -w19 -A1 -B19 -O39,81 -E3,1 -s200
|
||||
.BR -z200 ).
|
||||
.B -w19 -U50,500 --rmq -r100k -g10k -A1 -B19 -O39,81 -E3,1 -s200 -z200
|
||||
.BR -N50 ).
|
||||
Typically, the alignment will not extend to regions with 5% or higher sequence
|
||||
divergence. Only use this preset if the average divergence is far below 5%.
|
||||
.TP
|
||||
.B asm10
|
||||
Long assembly to reference mapping
|
||||
.RB ( -k19
|
||||
.B -w19 -A1 -B9 -O16,41 -E2,1 -s200
|
||||
.BR -z200 ).
|
||||
.B -w19 -U50,500 --rmq -r100k -g10k -A1 -B9 -O16,41 -E2,1 -s200 -z200
|
||||
.BR -N50 ).
|
||||
Up to 10% sequence divergence.
|
||||
.TP
|
||||
.B ava-pb
|
||||
PacBio all-vs-all overlap mapping
|
||||
.RB ( -Hk19
|
||||
.B -w5 -Xp0 -m100 -K500m -g10000 --max-chain-skip
|
||||
.BR 25 ).
|
||||
.TP
|
||||
.B ava-ont
|
||||
Oxford Nanopore all-vs-all overlap mapping
|
||||
.RB ( -k15
|
||||
.B -w5 -Xp0 -m100 -K500m -g10000 --max-chain-skip
|
||||
.BR 25 ).
|
||||
Similarly, the major difference from
|
||||
.B ava-pb
|
||||
is that this preset is not using HPC minimizers.
|
||||
.B asm20
|
||||
Long assembly to reference mapping
|
||||
.RB ( -k19
|
||||
.B -w10 -U50,500 --rmq -r100k -g10k -A1 -B4 -O6,26 -E2,1 -s200 -z200
|
||||
.BR -N50 ).
|
||||
Up to 20% sequence divergence.
|
||||
.TP
|
||||
.B splice
|
||||
Long-read spliced alignment
|
||||
.RB ( -k15
|
||||
.B -w5 --splice -g2000 -G200k -A1 -B2 -O2,32 -E1,0 -z200 -ub --cost-non-gt-ag
|
||||
.BR 5 ).
|
||||
.B -w5 --splice -g2k -G200k -A1 -B2 -O2,32 -E1,0 -b0 -C9 -z200 -ub --junc-bonus=9 --cap-sw-mem=0
|
||||
.BR --splice-flank=yes ).
|
||||
In the splice mode, 1) long deletions are taken as introns and represented as
|
||||
the
|
||||
.RB ` N '
|
||||
@@ -333,6 +587,31 @@ CIGAR operator; 2) long insertions are disabled; 3) deletion and insertion gap
|
||||
costs are different during chaining; 4) the computation of the
|
||||
.RB ` ms '
|
||||
tag ignores introns to demote hits to pseudogenes.
|
||||
.TP
|
||||
.B splice:hq
|
||||
Long-read splice alignment for PacBio CCS reads
|
||||
.RB ( -xsplice
|
||||
.B -C5 -O6,24
|
||||
.BR -B4 ).
|
||||
.TP
|
||||
.B sr
|
||||
Short single-end reads without splicing
|
||||
.RB ( -k21
|
||||
.B -w11 --sr --frag=yes -A2 -B8 -O12,32 -E2,1 -b0 -r100 -p.5 -N20 -f1000,5000 -n2 -m20
|
||||
.B -s40 -g100 -2K50m --heap-sort=yes
|
||||
.BR --secondary=no ).
|
||||
.TP
|
||||
.B ava-pb
|
||||
PacBio CLR all-vs-all overlap mapping
|
||||
.RB ( -Hk19
|
||||
.B -Xw5 -e0
|
||||
.BR -m100 ).
|
||||
.TP
|
||||
.B ava-ont
|
||||
Oxford Nanopore all-vs-all overlap mapping
|
||||
.RB ( -k15
|
||||
.B -Xw5 -e0 -m100
|
||||
.BR -r2k ).
|
||||
.RE
|
||||
.SS Miscellaneous options
|
||||
.TP 10
|
||||
@@ -345,7 +624,7 @@ multi-threading mode.
|
||||
.B --print-qname
|
||||
Print query names to stderr, mostly to see which query is crashing minimap2.
|
||||
.TP
|
||||
.B --print-seed
|
||||
.B --print-seeds
|
||||
Print seed positions to stderr, for debugging only.
|
||||
.SH OUTPUT FORMAT
|
||||
.PP
|
||||
@@ -384,15 +663,42 @@ cb | cb | cb
|
||||
r | c | l .
|
||||
Tag Type Description
|
||||
_
|
||||
tp A Type of aln: P/primary, S/secondary and I/inversion
|
||||
tp A Type of aln: P/primary, S/secondary and I,i/inversion
|
||||
cm i Number of minimizers on the chain
|
||||
s1 i Chaining score
|
||||
s2 i Chaining score of the best secondary chain
|
||||
NM i Total number of mismatches and gaps in the alignment
|
||||
MD Z To generate the ref sequence in the alignment
|
||||
AS i DP alignment score
|
||||
SA Z List of other supplementary alignments
|
||||
ms i DP score of the max scoring segment in the alignment
|
||||
nn i Number of ambiguous bases in the alignment
|
||||
ts A Transcript strand (splice mode only)
|
||||
cg Z CIGAR string (only in PAF)
|
||||
cs Z Difference string
|
||||
dv f Approximate per-base sequence divergence
|
||||
de f Gap-compressed per-base sequence divergence
|
||||
rl i Length of query regions harboring repetitive seeds
|
||||
.TE
|
||||
|
||||
.PP
|
||||
The
|
||||
.B cs
|
||||
tag encodes difference sequences in the short form or the entire query
|
||||
.I AND
|
||||
reference sequences in the long form. It consists of a series of operations:
|
||||
.TS
|
||||
center box;
|
||||
cb | cb |cb
|
||||
r | l | l .
|
||||
Op Regex Description
|
||||
_
|
||||
= [ACGTN]+ Identical sequence (long form)
|
||||
: [0-9]+ Identical sequence length
|
||||
* [acgtn][acgtn] Substitution: ref to query
|
||||
+ [acgtn]+ Insertion to the reference
|
||||
- [acgtn]+ Deletion from the reference
|
||||
~ [acgtn]{2}[0-9]+[acgtn]{2} Intron length and splice signal
|
||||
.TE
|
||||
|
||||
.SH LIMITATIONS
|
||||
@@ -403,11 +709,8 @@ where seed positions may be suboptimal. This should not be a big concern
|
||||
because even the optimal alignment may be wrong in such regions.
|
||||
.TP
|
||||
*
|
||||
Minimap2 does not work well with Illumina short reads as of now.
|
||||
.TP
|
||||
*
|
||||
Minimap2 requires SSE2 instructions to compile. It is possible to add
|
||||
non-SSE2 support, but it would make minimap2 slower by several times.
|
||||
Minimap2 requires SSE2 or NEON instructions to compile. It is possible to add
|
||||
non-SSE2/NEON support, but it would make minimap2 slower by several times.
|
||||
.SH SEE ALSO
|
||||
.PP
|
||||
miniasm(1), minimap(1), bwa(1).
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
#include "minimap.h"
|
||||
#include <stdlib.h>
|
||||
#include "mmpriv.h"
|
||||
|
||||
int mm_verbose = 3;
|
||||
int mm_verbose = 1;
|
||||
int mm_dbg_flag = 0;
|
||||
double mm_realtime0;
|
||||
|
||||
@@ -86,26 +87,69 @@ double cputime()
|
||||
|
||||
return kernelModeTime + userModeTime;
|
||||
}
|
||||
|
||||
long peakrss(void) { return 0; }
|
||||
#else
|
||||
#include <sys/resource.h>
|
||||
#include <sys/time.h>
|
||||
|
||||
double cputime()
|
||||
double cputime(void)
|
||||
{
|
||||
struct rusage r;
|
||||
getrusage(RUSAGE_SELF, &r);
|
||||
return r.ru_utime.tv_sec + r.ru_stime.tv_sec + 1e-6 * (r.ru_utime.tv_usec + r.ru_stime.tv_usec);
|
||||
}
|
||||
|
||||
long peakrss(void)
|
||||
{
|
||||
struct rusage r;
|
||||
getrusage(RUSAGE_SELF, &r);
|
||||
#ifdef __linux__
|
||||
return r.ru_maxrss * 1024;
|
||||
#else
|
||||
return r.ru_maxrss;
|
||||
#endif
|
||||
}
|
||||
|
||||
#endif /* WIN32 || _WIN32 */
|
||||
|
||||
double realtime()
|
||||
double realtime(void)
|
||||
{
|
||||
struct timeval tp;
|
||||
struct timezone tzp;
|
||||
gettimeofday(&tp, &tzp);
|
||||
gettimeofday(&tp, NULL);
|
||||
return tp.tv_sec + tp.tv_usec * 1e-6;
|
||||
}
|
||||
|
||||
void mm_err_puts(const char *str)
|
||||
{
|
||||
int ret;
|
||||
ret = puts(str);
|
||||
if (ret == EOF) {
|
||||
perror("[ERROR] failed to write the results");
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
}
|
||||
|
||||
void mm_err_fwrite(const void *p, size_t size, size_t nitems, FILE *fp)
|
||||
{
|
||||
int ret;
|
||||
ret = fwrite(p, size, nitems, fp);
|
||||
if (ret == EOF) {
|
||||
perror("[ERROR] failed to write data");
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
}
|
||||
|
||||
void mm_err_fread(void *p, size_t size, size_t nitems, FILE *fp)
|
||||
{
|
||||
int ret;
|
||||
ret = fread(p, size, nitems, fp);
|
||||
if (ret == EOF) {
|
||||
perror("[ERROR] failed to read data");
|
||||
exit(EXIT_FAILURE);
|
||||
}
|
||||
}
|
||||
|
||||
#include "ksort.h"
|
||||
|
||||
#define sort_key_128x(a) ((a).x)
|
||||
@@ -115,3 +159,4 @@ KRADIX_SORT_INIT(128x, mm128_t, sort_key_128x, 8)
|
||||
KRADIX_SORT_INIT(64, uint64_t, sort_key_64, 8)
|
||||
|
||||
KSORT_INIT_GENERIC(uint32_t)
|
||||
KSORT_INIT_GENERIC(uint64_t)
|
||||
|
||||
+170
-19
@@ -1,28 +1,179 @@
|
||||
The [K8 Javascript shell][k8] is needed to run Javascripts in this directory.
|
||||
Precompiled k8 binaries for Mac and Linux can be found at the [K8 release
|
||||
page][k8bin].
|
||||
## <a name="started"></a>Getting Started
|
||||
|
||||
* [paf2aln.js](paf2aln.js): convert PAF to [MAF][maf] or BLAST-like output for
|
||||
eyeballing. PAF has to be generated with minimap2 option `-S`, which writes
|
||||
the aligned sequences to the `cs` tag. An example:
|
||||
```sh
|
||||
../minimap2 -S ../test/MT-*.fa | k8 paf2aln.js /dev/stdin
|
||||
```
|
||||
```sh
|
||||
# install minimap2
|
||||
git clone https://github.com/lh3/minimap2
|
||||
cd minimap2 && make
|
||||
# install the k8 javascript shell
|
||||
curl -L https://github.com/attractivechaos/k8/releases/download/v0.2.4/k8-0.2.4.tar.bz2 | tar -jxf -
|
||||
cp k8-0.2.4/k8-`uname -s` k8 # or copy it to a directory on your $PATH
|
||||
# export PATH="$PATH:`pwd`:`pwd`/misc" # run this if k8, minimap2 or paftools.js not on your $PATH
|
||||
minimap2 --cs test/MT-human.fa test/MT-orang.fa | paftools.js view - # view alignment
|
||||
minimap2 -c test/MT-human.fa test/MT-orang.fa | paftools.js stat - # basic alignment statistics
|
||||
minimap2 -c --cs test/MT-human.fa test/MT-orang.fa \
|
||||
| sort -k6,6 -k8,8n | paftools.js call -L15000 - # calling variants from asm-to-ref alignment
|
||||
minimap2 -c test/MT-human.fa test/MT-orang.fa \
|
||||
| paftools.js liftover -l10000 - <(echo -e "MT_orang\t2000\t5000") # liftOver
|
||||
# no test data for the following examples
|
||||
paftools.js junceval -e anno.gtf splice.sam > out.txt # compare splice junctions to annotations
|
||||
paftools.js splice2bed anno.gtf > anno.bed # convert GTF/GFF3 to BED12
|
||||
```
|
||||
|
||||
* [mapstat.js](mapstat.js): output basic statistics such as the number of
|
||||
non-redundant mapped bases, number of split and secondary alignments and
|
||||
number of long gaps. This scripts seamlessly works with both SAM and PAF.
|
||||
## Table of Contents
|
||||
|
||||
* [sim-pbsim.js](sim-pbsim.js): convert reads simulated with [PBSIM][pbsim] to
|
||||
FASTA and encode the true mapping positions to read names in a format like
|
||||
`S1_33!chr1!225258409!225267761!-`.
|
||||
- [Getting Started](#started)
|
||||
- [Introduction](#intro)
|
||||
- [Evaluation](#eval)
|
||||
- [Evaluating mapping accuracy with simulated reads](#mapeval)
|
||||
- [Evaluating read overlap sensitivity](#oveval)
|
||||
- [Calling Variants from Assemblies](#asmvar)
|
||||
|
||||
* [sim-eval.js](sim-eval.js): evaluate mapping accuracy for FASTA generated
|
||||
with [sim-pbsim.js](sim-pbsim.js) or [sim-mason2.js](sim-mason2.js).
|
||||
## <a name="intro"></a>Introduction
|
||||
|
||||
* [sam2paf.js](sam2paf.js): convert SAM to PAF.
|
||||
paftools.js is a script that processes alignments in the [PAF format][paf],
|
||||
such as converting between formats, evaluating mapping accuracy, lifting over
|
||||
BED files based on alignment, and calling variants from assembly-to-assembly
|
||||
alignment. This script *requires* the [k8 Javascript shell][k8] to run. On
|
||||
Linux or Mac, you can download the precompiled k8 binary with:
|
||||
|
||||
```sh
|
||||
curl -L https://github.com/attractivechaos/k8/releases/download/v0.2.4/k8-0.2.4.tar.bz2 | tar -jxf -
|
||||
cp k8-0.2.4/k8-`uname -s` $HOME/bin/k8 # assuming $HOME/bin in your $PATH
|
||||
```
|
||||
|
||||
It is highly recommended to copy the executable `k8` to a directory on your
|
||||
`$PATH` such as `/usr/bin/env` can find it. Like python scripts, once you
|
||||
install `k8`, you can launch paftools.js in one of the two ways:
|
||||
|
||||
```sh
|
||||
path/to/paftools.js # only if k8 is on your $PATH
|
||||
k8 path/to/paftools.js
|
||||
```
|
||||
|
||||
In a nutshell, paftools.js has the following commands:
|
||||
|
||||
```
|
||||
Usage: paftools.js <command> [arguments]
|
||||
Commands:
|
||||
view convert PAF to BLAST-like (for eyeballing) or MAF
|
||||
splice2bed convert spliced alignment in PAF/SAM to BED12
|
||||
sam2paf convert SAM to PAF
|
||||
delta2paf convert MUMmer's delta to PAF
|
||||
gff2bed convert GTF/GFF3 to BED12
|
||||
|
||||
stat collect basic mapping information in PAF/SAM
|
||||
liftover simplistic liftOver
|
||||
call call variants from asm-to-ref alignment with the cs tag
|
||||
bedcov compute the number of bases covered
|
||||
|
||||
mapeval evaluate mapping accuracy using mason2/PBSIM-simulated FASTQ
|
||||
mason2fq convert mason2-simulated SAM to FASTQ
|
||||
pbsim2fq convert PBSIM-simulated MAF to FASTQ
|
||||
junceval evaluate splice junction consistency with known annotations
|
||||
ov-eval evaluate read overlap sensitivity using read-to-ref mapping
|
||||
```
|
||||
|
||||
paftools.js seamlessly reads both plain text files and gzip'd text files.
|
||||
|
||||
## <a name="eval"></a>Evaluation
|
||||
|
||||
### <a name="mapeval"></a>Evaluating mapping accuracy with simulated reads
|
||||
|
||||
The **pbsim2fq** command of paftools.js converts the MAF output of [pbsim][pbsim]
|
||||
to FASTQ and encodes the true mapping position in the read name in a format like
|
||||
`S1_33!chr1!225258409!225267761!-`. Similarly, the **mason2fq** command
|
||||
converts [mason2][mason2] simulated SAM to FASTQ.
|
||||
|
||||
Command **mapeval** evaluates mapped SAM/PAF. Here is example output:
|
||||
|
||||
```
|
||||
Q 60 32478 0 0.000000000 32478
|
||||
Q 22 16 1 0.000030775 32494
|
||||
Q 21 43 1 0.000061468 32537
|
||||
Q 19 73 1 0.000091996 32610
|
||||
Q 14 66 1 0.000122414 32676
|
||||
Q 10 27 3 0.000214048 32703
|
||||
Q 8 14 1 0.000244521 32717
|
||||
Q 7 13 2 0.000305530 32730
|
||||
Q 6 46 1 0.000335611 32776
|
||||
Q 3 10 1 0.000366010 32786
|
||||
Q 2 20 2 0.000426751 32806
|
||||
Q 1 248 94 0.003267381 33054
|
||||
Q 0 31 17 0.003778147 33085
|
||||
U 3
|
||||
```
|
||||
|
||||
where each Q-line gives the quality threshold, the number of reads mapped with
|
||||
mapping quality equal to or greater than the threshold, number of wrong
|
||||
mappings, accumulative mapping error rate and the accumulative number of
|
||||
mapped reads. The U-line, if present, gives the number of unmapped reads if
|
||||
they are present in the SAM file.
|
||||
|
||||
Suppose the reported mapping coordinate overlap with the true coordinate like
|
||||
the following:
|
||||
|
||||
```
|
||||
truth: --------------------
|
||||
mapper: ----------------------
|
||||
|<- l1 ->|<-- o -->|<-- l2 -->|
|
||||
```
|
||||
|
||||
Let `r=o/(l1+o+l2)`. The reported mapping is considered correct if `r>0.1` by
|
||||
default.
|
||||
|
||||
### <a name="oveval"></a>Evaluating read overlap sensitivity
|
||||
|
||||
Command **ov-eval** takes *sorted* read-to-reference alignment and read
|
||||
overlaps in PAF as input, and evaluates the sensitivity. For example:
|
||||
|
||||
```sh
|
||||
minimap2 -cx map-pb ref.fa reads.fq.gz | sort -k6,6 -k8,8n > reads-to-ref.paf
|
||||
minimap2 -x ava-pb reads.fq.gz reads.fq.gz > ovlp.paf
|
||||
k8 ov-eval.js reads-to-ref.paf ovlp.paf
|
||||
```
|
||||
|
||||
## <a name="asmvar"></a>Calling Variants from Haploid Assemblies
|
||||
|
||||
The **call** command of paftools.js calls variants from coordinate-sorted
|
||||
assembly-to-reference alignment. It calls variants from the [cs tag][cs] and
|
||||
identifies confident/callable regions as those covered by exactly one contig.
|
||||
Here are example command lines:
|
||||
|
||||
```sh
|
||||
minimap2 -cx asm5 -t8 --cs ref.fa asm.fa > asm.paf # keeping this file is recommended; --cs required!
|
||||
sort -k6,6 -k8,8n asm.paf > asm.srt.paf # sort by reference start coordinate
|
||||
k8 paftools.js call asm.srt.paf > asm.var.txt
|
||||
```
|
||||
|
||||
Here is sample output:
|
||||
|
||||
```
|
||||
V chr1 2276040 2276041 1 60 c g LJII01000171.1 1217409 1217410 +
|
||||
V chr1 2280409 2280410 1 60 a g LJII01000171.1 1221778 1221779 +
|
||||
V chr1 2280504 2280505 1 60 a g LJII01000171.1 1221873 1221874 +
|
||||
R chr1 2325140 2436340
|
||||
V chr1 2325287 2325287 1 60 - ct LJII01000171.1 1272894 1272896 +
|
||||
V chr1 2325642 2325644 1 60 tt - LJII01000171.1 1273251 1273251 +
|
||||
V chr1 2326051 2326052 1 60 c t LJII01000171.1 1273658 1273659 +
|
||||
V chr1 2326287 2326288 1 60 c t LJII01000171.1 1273894 1273895 +
|
||||
```
|
||||
|
||||
where a line starting with `R` gives regions covered by one query contig, and a
|
||||
V-line encodes a variant in the following format: chr, start, end, query depth,
|
||||
mapping quality, REF allele, ALT allele, query name, query start, end and the
|
||||
query orientation. Generally, you should only look at variants where column 5
|
||||
is one.
|
||||
|
||||
By default, when calling variants, "paftools.js call" ignores alignments 50kb
|
||||
or shorter; when deriving callable regions, it ignores alignments 10kb or
|
||||
shorter. It uses two thresholds to avoid edge effects. These defaults are
|
||||
designed for long-read assemblies. For short reads, both should be reduced.
|
||||
|
||||
|
||||
|
||||
[paf]: https://github.com/lh3/miniasm/blob/master/PAF.md
|
||||
[cs]: https://github.com/lh3/minimap2#cs
|
||||
[k8]: https://github.com/attractivechaos/k8
|
||||
[k8bin]: https://github.com/attractivechaos/k8/releases
|
||||
[maf]: https://genome.ucsc.edu/FAQ/FAQformat#format5
|
||||
[pbsim]: https://github.com/pfaucon/PBSIM-PacBio-Simulator
|
||||
[mason2]: https://github.com/seqan/seqan/tree/master/apps/mason2
|
||||
|
||||
@@ -1,266 +0,0 @@
|
||||
/*******************************
|
||||
* Command line option parsing *
|
||||
*******************************/
|
||||
|
||||
var getopt = function(args, ostr) {
|
||||
var oli; // option letter list index
|
||||
if (typeof(getopt.place) == 'undefined')
|
||||
getopt.ind = 0, getopt.arg = null, getopt.place = -1;
|
||||
if (getopt.place == -1) { // update scanning pointer
|
||||
if (getopt.ind >= args.length || args[getopt.ind].charAt(getopt.place = 0) != '-') {
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
if (getopt.place + 1 < args[getopt.ind].length && args[getopt.ind].charAt(++getopt.place) == '-') { // found "--"
|
||||
++getopt.ind;
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
}
|
||||
var optopt = args[getopt.ind].charAt(getopt.place++); // character checked for validity
|
||||
if (optopt == ':' || (oli = ostr.indexOf(optopt)) < 0) {
|
||||
if (optopt == '-') return null; // if the user didn't specify '-' as an option, assume it means null.
|
||||
if (getopt.place < 0) ++getopt.ind;
|
||||
return '?';
|
||||
}
|
||||
if (oli+1 >= ostr.length || ostr.charAt(++oli) != ':') { // don't need argument
|
||||
getopt.arg = null;
|
||||
if (getopt.place < 0 || getopt.place >= args[getopt.ind].length) ++getopt.ind, getopt.place = -1;
|
||||
} else { // need an argument
|
||||
if (getopt.place >= 0 && getopt.place < args[getopt.ind].length)
|
||||
getopt.arg = args[getopt.ind].substr(getopt.place);
|
||||
else if (args.length <= ++getopt.ind) { // no arg
|
||||
getopt.place = -1;
|
||||
if (ostr.length > 0 && ostr.charAt(0) == ':') return ':';
|
||||
return '?';
|
||||
} else getopt.arg = args[getopt.ind]; // white space
|
||||
getopt.place = -1;
|
||||
++getopt.ind;
|
||||
}
|
||||
return optopt;
|
||||
}
|
||||
|
||||
/***********************
|
||||
* Interval operations *
|
||||
***********************/
|
||||
|
||||
Interval = {};
|
||||
|
||||
Interval.sort = function(a)
|
||||
{
|
||||
if (typeof a[0] == 'number')
|
||||
a.sort(function(x, y) { return x - y });
|
||||
else a.sort(function(x, y) { return x[0] != y[0]? x[0] - y[0] : x[1] - y[1] });
|
||||
}
|
||||
|
||||
Interval.merge = function(a, sorted)
|
||||
{
|
||||
if (typeof sorted == 'undefined') sorted = true;
|
||||
if (!sorted) Interval.sort(a);
|
||||
var k = 0;
|
||||
for (var i = 1; i < a.length; ++i) {
|
||||
if (a[k][1] >= a[i][0])
|
||||
a[k][1] = a[k][1] > a[i][1]? a[k][1] : a[i][1];
|
||||
else a[++k] = a[i].slice(0);
|
||||
}
|
||||
a.length = k + 1;
|
||||
}
|
||||
|
||||
Interval.index_end = function(a, sorted)
|
||||
{
|
||||
if (a.length == 0) return;
|
||||
if (typeof sorted == 'undefined') sorted = true;
|
||||
if (!sorted) Interval.sort(a);
|
||||
a[0].push(0);
|
||||
var k = 0, k_en = a[0][1];
|
||||
for (var i = 1; i < a.length; ++i) {
|
||||
if (k_en <= a[i][0]) {
|
||||
for (++k; k < i; ++k)
|
||||
if (a[k][1] > a[i][0])
|
||||
break;
|
||||
k_en = a[k][1];
|
||||
}
|
||||
a[i].push(k);
|
||||
}
|
||||
}
|
||||
|
||||
Interval.find_intv = function(a, x)
|
||||
{
|
||||
var left = -1, right = a.length;
|
||||
if (typeof a[0] == 'number') {
|
||||
while (right - left > 1) {
|
||||
var mid = left + ((right - left) >> 1);
|
||||
if (a[mid] > x) right = mid;
|
||||
else if (a[mid] < x) left = mid;
|
||||
else return mid;
|
||||
}
|
||||
} else {
|
||||
while (right - left > 1) {
|
||||
var mid = left + ((right - left) >> 1);
|
||||
if (a[mid][0] > x) right = mid;
|
||||
else if (a[mid][0] < x) left = mid;
|
||||
else return mid;
|
||||
}
|
||||
}
|
||||
return left;
|
||||
}
|
||||
|
||||
Interval.find_ovlp = function(a, st, en)
|
||||
{
|
||||
if (a.length == 0 || st >= en) return [];
|
||||
var l = Interval.find_intv(a, st);
|
||||
var k = l < 0? 0 : a[l][a[l].length - 1];
|
||||
var b = [];
|
||||
for (var i = k; i < a.length; ++i) {
|
||||
if (a[i][0] >= en) break;
|
||||
else if (st < a[i][1])
|
||||
b.push(a[i]);
|
||||
}
|
||||
return b;
|
||||
}
|
||||
|
||||
/*****************
|
||||
* Main function *
|
||||
*****************/
|
||||
|
||||
var c, l_fuzzy = 0, print_ovlp = false, print_err_only = false, first_only = false;
|
||||
while ((c = getopt(arguments, "l:ep")) != null) {
|
||||
if (c == 'l') l_fuzzy = parseInt(getopt.arg);
|
||||
else if (c == 'e') print_err_only = print_ovlp = true;
|
||||
else if (c == 'p') print_ovlp = true;
|
||||
}
|
||||
|
||||
if (arguments.length - getopt.ind < 2) {
|
||||
print("Usage: k8 intron-eval.js [options] <gene.gtf> <aln.sam>");
|
||||
exit(1);
|
||||
}
|
||||
|
||||
var file, buf = new Bytes();
|
||||
|
||||
var tr = {};
|
||||
file = new File(arguments[getopt.ind]);
|
||||
while (file.readline(buf) >= 0) {
|
||||
var m, t = buf.toString().split("\t");
|
||||
if (t[0].charAt(0) == '#') continue;
|
||||
if (t[2] != 'exon') continue;
|
||||
var st = parseInt(t[3]) - 1;
|
||||
var en = parseInt(t[4]);
|
||||
if ((m = /transcript_id "(\S+)"/.exec(t[8])) == null) continue;
|
||||
var tid = m[1];
|
||||
if (tr[tid] == null) tr[tid] = [t[0], t[6], 0, 0, []];
|
||||
tr[tid][4].push([st, en]);
|
||||
}
|
||||
file.close();
|
||||
|
||||
var anno = {};
|
||||
for (var tid in tr) {
|
||||
var t = tr[tid];
|
||||
Interval.sort(t[4]);
|
||||
t[2] = t[4][0][0];
|
||||
t[3] = t[4][t[4].length - 1][1];
|
||||
if (anno[t[0]] == null) anno[t[0]] = [];
|
||||
var s = t[4];
|
||||
for (var i = 0; i < s.length - 1; ++i) {
|
||||
if (s[i][1] >= s[i+1][0]) throw Error("ERROR: wrong annotation!");
|
||||
anno[t[0]].push([s[i][1], s[i+1][0]]);
|
||||
}
|
||||
}
|
||||
tr = null;
|
||||
|
||||
for (var chr in anno) {
|
||||
var e = anno[chr];
|
||||
if (e.length == 0) continue;
|
||||
Interval.sort(e);
|
||||
var k = 0;
|
||||
for (var i = 1; i < e.length; ++i) // dedup
|
||||
if (e[i][0] != e[k][0] || e[i][1] != e[k][1])
|
||||
e[++k] = e[i].slice(0);
|
||||
e.length = k + 1;
|
||||
Interval.index_end(e);
|
||||
}
|
||||
|
||||
var n_pri = 0, n_unmapped = 0, n_mapped = 0;
|
||||
var n_sgl = 0, n_splice = 0, n_splice_hit = 0, n_splice_novel = 0;
|
||||
|
||||
file = new File(arguments[getopt.ind+1]);
|
||||
var last_qname = null;
|
||||
var re_cigar = /(\d+)([MIDNSHX=])/g;
|
||||
while (file.readline(buf) >= 0) {
|
||||
var m, t = buf.toString().split("\t");
|
||||
|
||||
if (t[0].charAt(0) == '@') continue;
|
||||
var flag = parseInt(t[1]);
|
||||
if (flag&0x100) continue;
|
||||
if (first_only && last_qname == t[0]) continue;
|
||||
if (t[2] == '*') {
|
||||
++n_unmapped;
|
||||
continue;
|
||||
} else {
|
||||
++n_pri;
|
||||
if (last_qname != t[0]) ++n_mapped;
|
||||
}
|
||||
|
||||
var pos = parseInt(t[3]) - 1, intron = [];
|
||||
while ((m = re_cigar.exec(t[5])) != null) {
|
||||
var len = parseInt(m[1]), op = m[2];
|
||||
if (op == 'N') {
|
||||
intron.push([pos, pos + len]);
|
||||
pos += len;
|
||||
} else if (op == 'M' || op == 'X' || op == '=' || op == 'D') pos += len;
|
||||
}
|
||||
if (intron.length == 0) {
|
||||
++n_sgl;
|
||||
continue;
|
||||
}
|
||||
n_splice += intron.length;
|
||||
|
||||
var chr = anno[t[2]];
|
||||
if (chr != null) {
|
||||
for (var i = 0; i < intron.length; ++i) {
|
||||
var o = Interval.find_ovlp(chr, intron[i][0], intron[i][1]);
|
||||
if (o.length > 0) {
|
||||
var hit = false;
|
||||
for (var j = 0; j < o.length; ++j) {
|
||||
var st_diff = intron[i][0] - o[j][0];
|
||||
var en_diff = intron[i][1] - o[j][1];
|
||||
if (st_diff < 0) st_diff = -st_diff;
|
||||
if (en_diff < 0) en_diff = -en_diff;
|
||||
if (st_diff <= l_fuzzy && en_diff <= l_fuzzy)
|
||||
++n_splice_hit, hit = true;
|
||||
if (hit) break;
|
||||
}
|
||||
if (print_ovlp) {
|
||||
var type = hit? 'C' : 'P';
|
||||
if (hit && print_err_only) continue;
|
||||
var x = '[';
|
||||
for (var j = 0; j < o.length; ++j) {
|
||||
if (j) x += ', ';
|
||||
x += '(' + o[j][0] + "," + o[j][1] + ')';
|
||||
}
|
||||
x += ']';
|
||||
print(type, t[0], i+1, t[2], intron[i][0], intron[i][1], x);
|
||||
}
|
||||
} else {
|
||||
++n_splice_novel;
|
||||
if (print_ovlp)
|
||||
print('N', t[0], i+1, t[2], intron[i][0], intron[i][1]);
|
||||
}
|
||||
}
|
||||
} else {
|
||||
n_splice_novel += intron.length;
|
||||
}
|
||||
last_qname = t[0];
|
||||
}
|
||||
file.close();
|
||||
|
||||
buf.destroy();
|
||||
|
||||
if (!print_ovlp) {
|
||||
print("# unmapped reads: " + n_unmapped);
|
||||
print("# mapped reads: " + n_mapped);
|
||||
print("# primary alignments: " + n_pri);
|
||||
print("# singletons: " + n_sgl);
|
||||
print("# predicted introns: " + n_splice);
|
||||
print("# non-overlapping introns: " + n_splice_novel);
|
||||
print("# correct introns: " + n_splice_hit + " (" + (n_splice_hit / n_splice * 100).toFixed(2) + "%)");
|
||||
}
|
||||
-183
@@ -1,183 +0,0 @@
|
||||
var getopt = function(args, ostr) {
|
||||
var oli; // option letter list index
|
||||
if (typeof(getopt.place) == 'undefined')
|
||||
getopt.ind = 0, getopt.arg = null, getopt.place = -1;
|
||||
if (getopt.place == -1) { // update scanning pointer
|
||||
if (getopt.ind >= args.length || args[getopt.ind].charAt(getopt.place = 0) != '-') {
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
if (getopt.place + 1 < args[getopt.ind].length && args[getopt.ind].charAt(++getopt.place) == '-') { // found "--"
|
||||
++getopt.ind;
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
}
|
||||
var optopt = args[getopt.ind].charAt(getopt.place++); // character checked for validity
|
||||
if (optopt == ':' || (oli = ostr.indexOf(optopt)) < 0) {
|
||||
if (optopt == '-') return null; // if the user didn't specify '-' as an option, assume it means null.
|
||||
if (getopt.place < 0) ++getopt.ind;
|
||||
return '?';
|
||||
}
|
||||
if (oli+1 >= ostr.length || ostr.charAt(++oli) != ':') { // don't need argument
|
||||
getopt.arg = null;
|
||||
if (getopt.place < 0 || getopt.place >= args[getopt.ind].length) ++getopt.ind, getopt.place = -1;
|
||||
} else { // need an argument
|
||||
if (getopt.place >= 0 && getopt.place < args[getopt.ind].length)
|
||||
getopt.arg = args[getopt.ind].substr(getopt.place);
|
||||
else if (args.length <= ++getopt.ind) { // no arg
|
||||
getopt.place = -1;
|
||||
if (ostr.length > 0 && ostr.charAt(0) == ':') return ':';
|
||||
return '?';
|
||||
} else getopt.arg = args[getopt.ind]; // white space
|
||||
getopt.place = -1;
|
||||
++getopt.ind;
|
||||
}
|
||||
return optopt;
|
||||
}
|
||||
|
||||
var c, gap_out_len = null;
|
||||
while ((c = getopt(arguments, "l:")) != null)
|
||||
if (c == 'l') gap_out_len = parseInt(getopt.arg);
|
||||
|
||||
if (getopt.ind == arguments.length) {
|
||||
print("Usage: k8 mapstat.js [-l gapOutLen] <in.sam>|<in.paf>");
|
||||
exit(1);
|
||||
}
|
||||
|
||||
var buf = new Bytes();
|
||||
var file = new File(arguments[getopt.ind]);
|
||||
var re = /(\d+)([MIDSHNX=])/g;
|
||||
|
||||
var lineno = 0, n_pri = 0, n_2nd = 0, n_seq = 0, n_cigar_64k = 0, l_tot = 0, l_cov = 0;
|
||||
var n_gap = [[0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0]];
|
||||
|
||||
function cov_len(regs)
|
||||
{
|
||||
regs.sort(function(a,b) {return a[0]-b[0]});
|
||||
var st = regs[0][0], en = regs[0][1], l = 0;
|
||||
for (var i = 1; i < regs.length; ++i) {
|
||||
if (regs[i][0] < en)
|
||||
en = en > regs[i][1]? en : regs[i][1];
|
||||
else l += en - st, st = regs[i][0], en = regs[i][1];
|
||||
}
|
||||
l += en - st;
|
||||
return l;
|
||||
}
|
||||
|
||||
var last = null, last_qlen = null, regs = [];
|
||||
while (file.readline(buf) >= 0) {
|
||||
var line = buf.toString();
|
||||
++lineno;
|
||||
if (line.charAt(0) != '@') {
|
||||
var t = line.split("\t", 12);
|
||||
var m, rs, cigar = null, is_pri = false, is_sam = false, is_rev = false, tname = null;
|
||||
var atlen = null, aqlen, qs, qe, mapq, ori_qlen;
|
||||
if (t[4] == '+' || t[4] == '-') { // PAF
|
||||
if (!/\ts2:i:\d+/.test(line)) {
|
||||
++n_2nd;
|
||||
continue;
|
||||
}
|
||||
if ((m = /\tcg:Z:(\S+)/.exec(line)) != null)
|
||||
cigar = m[1];
|
||||
if (cigar == null) {
|
||||
warn("WARNING: no CIGAR at line " + lineno);
|
||||
continue;
|
||||
}
|
||||
tname = t[5];
|
||||
qs = parseInt(t[2]), qe = parseInt(t[3]);
|
||||
aqlen = qe - qs;
|
||||
is_rev = t[4] == '+'? false : true;
|
||||
rs = parseInt(t[7]);
|
||||
atlen = parseInt(t[8]) - rs;
|
||||
mapq = parseInt(t[11]);
|
||||
ori_qlen = parseInt(t[1]);
|
||||
} else { // SAM
|
||||
var flag = parseInt(t[1]);
|
||||
if ((flag & 4) || t[2] == '*' || t[5] == '*') continue;
|
||||
if (flag & 0x100) {
|
||||
++n_2nd;
|
||||
continue;
|
||||
}
|
||||
cigar = t[5];
|
||||
tname = t[2];
|
||||
rs = parseInt(t[3]) - 1;
|
||||
mapq = parseInt(t[4]);
|
||||
aqlen = t[9].length;
|
||||
is_sam = true;
|
||||
is_rev = !!(flag&0x10);
|
||||
}
|
||||
++n_pri;
|
||||
if (last != t[0]) {
|
||||
if (last != null) {
|
||||
l_tot += last_qlen;
|
||||
l_cov += cov_len(regs);
|
||||
}
|
||||
regs = [];
|
||||
++n_seq, last = t[0];
|
||||
}
|
||||
var M = 0, tl = 0, ql = 0, clip = [0, 0], n_cigar = 0, sclip = 0;
|
||||
while ((m = re.exec(cigar)) != null) {
|
||||
var l = parseInt(m[1]);
|
||||
++n_cigar;
|
||||
if (m[2] == 'M' || m[2] == '=' || m[2] == 'X') {
|
||||
tl += l, ql += l, M += l;
|
||||
} else if (m[2] == 'I' || m[2] == 'D') {
|
||||
var type;
|
||||
if (l < 50) type = 0;
|
||||
else if (l < 100) type = 1;
|
||||
else if (l < 300) type = 2;
|
||||
else if (l < 400) type = 3;
|
||||
else if (l < 1000) type = 4;
|
||||
else type = 5;
|
||||
if (m[2] == 'I') ql += l, ++n_gap[0][type];
|
||||
else tl += l, ++n_gap[1][type];
|
||||
if (gap_out_len != null && l >= gap_out_len)
|
||||
print(t[0], ql, is_rev? '-' : '+', tname, rs + tl, m[2], l);
|
||||
} else if (m[2] == 'N') {
|
||||
tl += l;
|
||||
} else if (m[2] == 'S') {
|
||||
clip[M == 0? 0 : 1] = l, sclip += l;
|
||||
} else if (m[2] == 'H') {
|
||||
clip[M == 0? 0 : 1] = l;
|
||||
}
|
||||
}
|
||||
if (n_cigar > 65535) ++n_cigar_64k;
|
||||
if (ql + sclip != aqlen)
|
||||
warn("WARNING: aligned query length is inconsistent with CIGAR at line " + lineno + " (" + (ql+sclip) + " != " + aqlen + ")");
|
||||
if (atlen != null && atlen != tl)
|
||||
warn("WARNING: aligned reference length is inconsistent with CIGAR at line " + lineno);
|
||||
if (is_sam) {
|
||||
qs = clip[is_rev? 1 : 0], qe = qs + ql;
|
||||
ori_qlen = clip[0] + ql + clip[1];
|
||||
}
|
||||
regs.push([qs, qe]);
|
||||
last_qlen = ori_qlen;
|
||||
}
|
||||
}
|
||||
l_tot += last_qlen;
|
||||
l_cov += cov_len(regs);
|
||||
|
||||
file.close();
|
||||
buf.destroy();
|
||||
|
||||
if (gap_out_len == null) {
|
||||
print("Number of mapped sequences: " + n_seq);
|
||||
print("Number of primary alignments: " + n_pri);
|
||||
print("Number of secondary alignments: " + n_2nd);
|
||||
print("Number of primary alignments with >65535 CIGAR operations: " + n_cigar_64k);
|
||||
print("Number of bases in mapped sequences: " + l_tot);
|
||||
print("Number of mapped bases: " + l_cov);
|
||||
print("Number of insertions in [0,50): " + n_gap[0][0]);
|
||||
print("Number of insertions in [50,100): " + n_gap[0][1]);
|
||||
print("Number of insertions in [100,300): " + n_gap[0][2]);
|
||||
print("Number of insertions in [300,400): " + n_gap[0][3]);
|
||||
print("Number of insertions in [400,1000): " + n_gap[0][4]);
|
||||
print("Number of insertions in [1000,inf): " + n_gap[0][5]);
|
||||
print("Number of deletions in [0,50): " + n_gap[1][0]);
|
||||
print("Number of deletions in [50,100): " + n_gap[1][1]);
|
||||
print("Number of deletions in [100,300): " + n_gap[1][2]);
|
||||
print("Number of deletions in [300,400): " + n_gap[1][3]);
|
||||
print("Number of deletions in [400,1000): " + n_gap[1][4]);
|
||||
print("Number of deletions in [1000,inf): " + n_gap[1][5]);
|
||||
}
|
||||
Executable
+335
@@ -0,0 +1,335 @@
|
||||
#!/usr/bin/env k8
|
||||
|
||||
var getopt = function(args, ostr) {
|
||||
var oli; // option letter list index
|
||||
if (typeof(getopt.place) == 'undefined')
|
||||
getopt.ind = 0, getopt.arg = null, getopt.place = -1;
|
||||
if (getopt.place == -1) { // update scanning pointer
|
||||
if (getopt.ind >= args.length || args[getopt.ind].charAt(getopt.place = 0) != '-') {
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
if (getopt.place + 1 < args[getopt.ind].length && args[getopt.ind].charAt(++getopt.place) == '-') { // found "--"
|
||||
++getopt.ind;
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
}
|
||||
var optopt = args[getopt.ind].charAt(getopt.place++); // character checked for validity
|
||||
if (optopt == ':' || (oli = ostr.indexOf(optopt)) < 0) {
|
||||
if (optopt == '-') return null; // if the user didn't specify '-' as an option, assume it means null.
|
||||
if (getopt.place < 0) ++getopt.ind;
|
||||
return '?';
|
||||
}
|
||||
if (oli+1 >= ostr.length || ostr.charAt(++oli) != ':') { // don't need argument
|
||||
getopt.arg = null;
|
||||
if (getopt.place < 0 || getopt.place >= args[getopt.ind].length) ++getopt.ind, getopt.place = -1;
|
||||
} else { // need an argument
|
||||
if (getopt.place >= 0 && getopt.place < args[getopt.ind].length)
|
||||
getopt.arg = args[getopt.ind].substr(getopt.place);
|
||||
else if (args.length <= ++getopt.ind) { // no arg
|
||||
getopt.place = -1;
|
||||
if (ostr.length > 0 && ostr.charAt(0) == ':') return ':';
|
||||
return '?';
|
||||
} else getopt.arg = args[getopt.ind]; // white space
|
||||
getopt.place = -1;
|
||||
++getopt.ind;
|
||||
}
|
||||
return optopt;
|
||||
}
|
||||
|
||||
function read_fastx(file, buf)
|
||||
{
|
||||
if (file.readline(buf) < 0) return null;
|
||||
var m, line = buf.toString();
|
||||
if ((m = /^([>@])(\S+)/.exec(line)) == null)
|
||||
throw Error("wrong fastx format");
|
||||
var is_fq = (m[1] == '@');
|
||||
var name = m[2];
|
||||
if (file.readline(buf) < 0)
|
||||
throw Error("missing sequence line");
|
||||
var seq = buf.toString();
|
||||
if (is_fq) { // skip quality
|
||||
file.readline(buf);
|
||||
file.readline(buf);
|
||||
}
|
||||
return [name, seq];
|
||||
}
|
||||
|
||||
function filter_paf(a, opt)
|
||||
{
|
||||
if (a.length == 0) return;
|
||||
var k = 0;
|
||||
for (var i = 0; i < a.length; ++i) {
|
||||
var ai = a[i];
|
||||
if (ai[10] < opt.min_blen) continue;
|
||||
if (ai[9] < ai[10] * opt.min_iden) continue;
|
||||
var clip = [0, 0];
|
||||
if (ai[4] == '+') {
|
||||
clip[0] = ai[2] < ai[7]? ai[2] : ai[7];
|
||||
clip[1] = ai[1] - ai[3] < ai[6] - ai[8]? ai[1] - ai[3] : ai[6] - ai[8];
|
||||
} else {
|
||||
clip[0] = ai[2] < ai[6] - ai[8]? ai[2] : ai[6] - ai[8];
|
||||
clip[1] = ai[1] - ai[3] < ai[7]? ai[1] - ai[3] : ai[7];
|
||||
}
|
||||
if (clip[0] > opt.max_clip_len || clip[1] > opt.max_clip_len) continue;
|
||||
a[k++] = ai;
|
||||
}
|
||||
a.length = k;
|
||||
}
|
||||
|
||||
function parse_events(t, ev, id, buf)
|
||||
{
|
||||
var re = /(:(\d+))|(([\+\-\*])([a-z]+))/g;
|
||||
var m, cs = null;
|
||||
for (var j = 12; j < t.length; ++j) {
|
||||
if ((m = /^cs:Z:(\S+)/.exec(t[j])) != null) {
|
||||
cs = m[1].toLowerCase();
|
||||
break;
|
||||
}
|
||||
}
|
||||
if (cs == null) {
|
||||
warn("Warning: no cs tag for read '" + t[0] + "'");
|
||||
return;
|
||||
}
|
||||
var st = t[2], en = t[3];
|
||||
var x = st;
|
||||
while ((m = re.exec(cs)) != null) {
|
||||
var l;
|
||||
if (m[2] != null) { // an identitcal match ":\d+"
|
||||
l = parseInt(m[2]);
|
||||
// [start, end, type, index, changed_base]
|
||||
ev.push([x, x + l, 0, id]);
|
||||
} else {
|
||||
if (m[4] == '*') {
|
||||
l = 1;
|
||||
ev.push([x, x + 1, 1, id, m[5][0]]);
|
||||
} else if (m[4] == '+') {
|
||||
l = m[5].length;
|
||||
ev.push([x, x + l, 2, id]);
|
||||
} else if (m[4] == '-') {
|
||||
l = 0;
|
||||
ev.push([x, x, -1, id, m[5]]);
|
||||
}
|
||||
}
|
||||
x += l;
|
||||
}
|
||||
if (x != en)
|
||||
throw Error("inconsistent cs for read '" + t[0] + "'");
|
||||
}
|
||||
|
||||
function find_het_sub(ev, a, opt)
|
||||
{
|
||||
var n = a.length, last0_i = -1, h = [], d = [];
|
||||
for (var i = 0; i < n; ++i) h[i] = [], d[i] = [];
|
||||
for (var i = 0; i < ev.length; ++i) {
|
||||
if (ev[i][2] == 0) {
|
||||
if (last0_i < 0 || ev[i][0] != ev[last0_i][0]) last0_i = i;
|
||||
else if (ev[i][1] > ev[last0_i][1])
|
||||
last0_i = i;
|
||||
} else if (ev[i][2] == 1 && last0_i >= 0 && ev[i][0] < ev[last0_i][1]) {
|
||||
if (ev[last0_i][1] - ev[last0_i][0] >= opt.min_mlen) {
|
||||
if (opt.dbg_ev) print("EV", ev[last0_i].join("\t"), "|", ev[i].join("\t"));
|
||||
var e0 = ev[last0_i], hl = h[e0[3]];
|
||||
if (hl.length == 0 || hl[hl.length-1][0] != e0[0])
|
||||
hl.push([e0[0], e0[1]]);
|
||||
d[ev[i][3]].push([ev[i][0], e0[1] - e0[0]]);
|
||||
}
|
||||
}
|
||||
}
|
||||
var b = [];
|
||||
for (var i = 0; i < n; ++i) {
|
||||
var sh = 0, dh = 0;
|
||||
for (var j = 0; j < h[i].length; ++j)
|
||||
sh += h[i][j][1] - h[i][j][0];
|
||||
for (var j = 0; j < d[i].length; ++j)
|
||||
dh += d[i][j][1];
|
||||
// [start, end, index, #consistent, lenConsistent, #conflictive, lenConflictive, identity, mlen]
|
||||
b[i] = [a[i][2], a[i][3], i, h[i].length, sh, d[i].length, dh, a[i][9] / a[i][10], a[i][9]];
|
||||
}
|
||||
return b;
|
||||
}
|
||||
|
||||
function flt_utg_for_ec(b, opt)
|
||||
{
|
||||
var k = 0;
|
||||
for (var i = 0; i < b.length; ++i) {
|
||||
var bi = b[i];
|
||||
if (bi[4] == 0 && bi[6] == 0) b[k++] = bi; // entirely ambiguous
|
||||
else if (bi[6] < (bi[4] + bi[6]) * opt.max_ratio0) b[k++] = bi;
|
||||
}
|
||||
b.length = k;
|
||||
if (b.length == 0) return;
|
||||
// find the longest contiguous segment
|
||||
b.sort(function(x,y) { return x[0]-y[0] });
|
||||
var st = b[0][0], en = b[0][1], max_st = 0, max_en = 0, max_max_en = en;
|
||||
for (var i = 1; i < b.length; ++i) {
|
||||
if (b[i][0] > en) {
|
||||
if (en - st > max_en - max_st)
|
||||
max_st = st, max_en = en;
|
||||
st = b[i][0], en = b[i][1];
|
||||
} else {
|
||||
en = en > b[i][1]? en : b[i][1];
|
||||
}
|
||||
max_max_en = max_max_en > b[i][1]? max_max_en : b[i][1];
|
||||
}
|
||||
if (en - st > max_en - max_st)
|
||||
max_st = st, max_en = en;
|
||||
if (max_max_en != en || st != b[0][0]) {
|
||||
var k = 0;
|
||||
for (var i = 0; i < b.length; ++i)
|
||||
if (b[i][0] < max_en && b[i][1] > max_st)
|
||||
b[k++] = b[i];
|
||||
b.length = k;
|
||||
}
|
||||
}
|
||||
|
||||
function flt_utg_for_bin(b, opt) // filter out alignments clearly on the wrong phase
|
||||
{
|
||||
var k = 0;
|
||||
for (var i = 0; i < b.length; ++i) {
|
||||
var bi = b[i];
|
||||
if (bi[4] + bi[6] == 0 || bi[4] >= (bi[4] + bi[6]) * opt.max_ratio0) b[k++] = bi;
|
||||
}
|
||||
b.length = k;
|
||||
}
|
||||
|
||||
function ec_core(b, n_a, ev, buf, ecb) // error correction
|
||||
{
|
||||
var intv = [];
|
||||
for (var i = 0; i < n_a; ++i)
|
||||
intv[i] = null;
|
||||
intv[b[0][2]] = [b[0][0], b[0][1]];
|
||||
var en = b[0][1];
|
||||
for (var i = 1; i < b.length; ++i) {
|
||||
if (b[i][1] <= en) continue;
|
||||
intv[b[i][2]] = [en, b[i][1]];
|
||||
en = b[i][1];
|
||||
}
|
||||
var k = 0;
|
||||
ecb.capacity = buf.capacity;
|
||||
ecb.length = 0;
|
||||
for (var i = 0; i < ev.length; ++i) {
|
||||
var e = ev[i], I = intv[e[3]];
|
||||
if (I == null) continue;
|
||||
if (e[0] >= I[0] && e[0] < I[1]) { // this is to reduce duplicated events around junctions
|
||||
//print("X", e.join("\t"));
|
||||
if (e[2] == 0) {
|
||||
ecb.length += e[1] - e[0];
|
||||
for (var j = e[0]; j < e[1]; ++j)
|
||||
ecb[k++] = buf[j];
|
||||
} else if (e[2] == 1) {
|
||||
++ecb.length;
|
||||
ecb[k++] = e[4].charCodeAt(0);
|
||||
} else if (e[2] < 0) {
|
||||
ecb.length += e[4].length;
|
||||
for (var j = 0; j < e[4].length; ++j)
|
||||
ecb[k++] = e[4].charCodeAt(j);
|
||||
} // else, skip e[2] == 2
|
||||
}
|
||||
}
|
||||
if (ecb.length != k) throw Error("BUG!");
|
||||
}
|
||||
|
||||
function process_paf(a, opt, fp_seq, buf, ecb)
|
||||
{
|
||||
if (a.length == 0) return;
|
||||
var len = a[0][1], name = a[0][0], seq = null;
|
||||
if (len < opt.min_rlen) return;
|
||||
if (fp_seq) {
|
||||
var ret;
|
||||
while ((ret = read_fastx(fp_seq, buf)) != null)
|
||||
if (ret[0] == a[0][0])
|
||||
break;
|
||||
if (ret == null)
|
||||
throw Error("failed to find sequence for read '" + a[0][0] + "'");
|
||||
name = ret[0], seq = ret[1];
|
||||
if (seq.length != len)
|
||||
throw Error("inconsistent length for read '" + name + "'");
|
||||
}
|
||||
filter_paf(a, opt);
|
||||
if (a.length == 0) return;
|
||||
var ev = [];
|
||||
for (var i = 0; i < a.length; ++i)
|
||||
parse_events(a[i], ev, i, buf);
|
||||
ev.sort(function(x,y) { return x[0]!=y[0]? x[0]-y[0] : x[2]-y[2] });
|
||||
if (seq == null) print("SQ", name, a[0][1], a.length);
|
||||
var b = find_het_sub(ev, a, opt);
|
||||
if (opt.ec) flt_utg_for_ec(b, opt);
|
||||
else flt_utg_for_bin(b, opt);
|
||||
if (seq == null) {
|
||||
for (var i = 0; i < b.length; ++i) {
|
||||
var m, ai = a[b[i][2]], score = 0;
|
||||
for (var j = 10; j < ai.length; ++j)
|
||||
if ((m = /^AS:i:(\d+)/.exec(ai[j])) != null)
|
||||
score = m[1];
|
||||
print("TS", b[i][2], b[i][0], b[i][1], ai.slice(5, 9).join("\t"), b[i].slice(3, 7).join("\t"), score);
|
||||
}
|
||||
print("//");
|
||||
} else { // error correction
|
||||
if (b.length == 0) return;
|
||||
buf.set(seq, 0);
|
||||
ec_core(b, a.length, ev, buf, ecb);
|
||||
print(">" + name);
|
||||
print(ecb);
|
||||
}
|
||||
}
|
||||
|
||||
function main(args)
|
||||
{
|
||||
var c, opt = { min_rlen:5000, min_blen:5000, min_iden:0.8, min_mlen:5, max_clip_len:500, max_ratio0:0.25, dbg_ev:false };
|
||||
while ((c = getopt(args, "l:b:d:m:c:r:E")) != null) {
|
||||
if (c == 'l') opt.min_rlen = parseInt(getopt.arg);
|
||||
else if (c == 'b') opt.min_blen = parseInt(getopt.arg);
|
||||
else if (c == 'd') opt.min_iden = parseFloat(getopt.arg);
|
||||
else if (c == 'm') opt.min_slen = parseInt(getopt.arg);
|
||||
else if (c == 'c') opt.max_clip_len = parseInt(getopt.arg);
|
||||
else if (c == 'r') opt.max_ratio0 = parseFloat(getopt.arg);
|
||||
else if (c == 'E') opt.dbg_ev = true;
|
||||
}
|
||||
if (args.length - getopt.ind < 1) {
|
||||
print("Usage: mmphase.js [options] <map-with-cs.paf> [reads.fa]");
|
||||
print("Options:");
|
||||
print(" -l INT min read length [" + opt.min_rlen + "]");
|
||||
print(" -b INT min alignment length [" + opt.min_blen + "]");
|
||||
print(" -d FLOAT min identity [" + opt.min_iden + "]");
|
||||
print(" -s INT min match length [" + opt.min_mlen + "]");
|
||||
print(" -c INT max clip length [" + opt.max_clip_len + "]");
|
||||
print(" -r FLOAT initial ratio for haplotype filtering [" + opt.max_ratio0 + "]");
|
||||
return 0;
|
||||
}
|
||||
|
||||
opt.ec = args.length - getopt.ind < 2? false : true;
|
||||
if (!opt.ec) {
|
||||
print("CC");
|
||||
print("CC", "SQ qName qLen nHits");
|
||||
print("CC", "TS index qStart qEnd tName tLen tStart tEnd nConsistent lCons nConflictive lConf score");
|
||||
print("CC");
|
||||
}
|
||||
|
||||
var buf = new Bytes(), ecb = new Bytes();
|
||||
var fp_paf = new File(args[getopt.ind]);
|
||||
var fp_seq = args.length - getopt.ind >= 2? new File(args[getopt.ind+1]) : null;
|
||||
var a = [];
|
||||
while (fp_paf.readline(buf) >= 0) {
|
||||
var t = buf.toString().split("\t");
|
||||
if (a.length > 0 && a[0][0] != t[0]) {
|
||||
process_paf(a, opt, fp_seq, buf, ecb);
|
||||
a.length = 0;
|
||||
}
|
||||
for (var i = 1; i <= 3; ++i) t[i] = parseInt(t[i]);
|
||||
if (t[1] < opt.min_rlen) continue;
|
||||
for (var i = 6; i <= 10; ++i) t[i] = parseInt(t[i]);
|
||||
if (t[10] < opt.min_blen) continue;
|
||||
a.push(t);
|
||||
}
|
||||
if (a.length >= 0)
|
||||
process_paf(a, opt, fp_seq, buf, ecb);
|
||||
if (fp_seq) fp_seq.close();
|
||||
fp_paf.close();
|
||||
ecb.destroy();
|
||||
buf.destroy();
|
||||
}
|
||||
|
||||
var ret = main(arguments)
|
||||
exit(ret)
|
||||
-171
@@ -1,171 +0,0 @@
|
||||
var getopt = function(args, ostr) {
|
||||
var oli; // option letter list index
|
||||
if (typeof(getopt.place) == 'undefined')
|
||||
getopt.ind = 0, getopt.arg = null, getopt.place = -1;
|
||||
if (getopt.place == -1) { // update scanning pointer
|
||||
if (getopt.ind >= args.length || args[getopt.ind].charAt(getopt.place = 0) != '-') {
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
if (getopt.place + 1 < args[getopt.ind].length && args[getopt.ind].charAt(++getopt.place) == '-') { // found "--"
|
||||
++getopt.ind;
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
}
|
||||
var optopt = args[getopt.ind].charAt(getopt.place++); // character checked for validity
|
||||
if (optopt == ':' || (oli = ostr.indexOf(optopt)) < 0) {
|
||||
if (optopt == '-') return null; // if the user didn't specify '-' as an option, assume it means null.
|
||||
if (getopt.place < 0) ++getopt.ind;
|
||||
return '?';
|
||||
}
|
||||
if (oli+1 >= ostr.length || ostr.charAt(++oli) != ':') { // don't need argument
|
||||
getopt.arg = null;
|
||||
if (getopt.place < 0 || getopt.place >= args[getopt.ind].length) ++getopt.ind, getopt.place = -1;
|
||||
} else { // need an argument
|
||||
if (getopt.place >= 0 && getopt.place < args[getopt.ind].length)
|
||||
getopt.arg = args[getopt.ind].substr(getopt.place);
|
||||
else if (args.length <= ++getopt.ind) { // no arg
|
||||
getopt.place = -1;
|
||||
if (ostr.length > 0 && ostr.charAt(0) == ':') return ':';
|
||||
return '?';
|
||||
} else getopt.arg = args[getopt.ind]; // white space
|
||||
getopt.place = -1;
|
||||
++getopt.ind;
|
||||
}
|
||||
return optopt;
|
||||
}
|
||||
|
||||
var c, maf_out = false, line_len = 80;
|
||||
while ((c = getopt(arguments, "ml:")) != null) {
|
||||
if (c == 'm') maf_out = true;
|
||||
else if (c == 'l') line_len = parseInt(getopt.arg); // TODO: not implemented yet
|
||||
}
|
||||
if (line_len == 0) line_len = 0x7fffffff;
|
||||
|
||||
if (getopt.ind == arguments.length) {
|
||||
print("Usage: k8 paf2aln.js [options] <with-cs.paf>");
|
||||
print("Options:");
|
||||
print(" -m MAF output (BLAST-like output by default)");
|
||||
print(" -l INT line length in BLAST-like output [80]");
|
||||
print("");
|
||||
print("Note: this script only works when minimap2 is run with option '-S'");
|
||||
exit(1);
|
||||
}
|
||||
|
||||
function padding_str(x, len, right)
|
||||
{
|
||||
var s = x.toString();
|
||||
if (s.length < len) {
|
||||
if (right) s += Array(len - s.length + 1).join(" ");
|
||||
else s = Array(len - s.length + 1).join(" ") + s;
|
||||
}
|
||||
return s;
|
||||
}
|
||||
|
||||
function update_aln(s_ref, s_qry, s_mid, type, seq, slen)
|
||||
{
|
||||
var l = type == '*'? 1 : seq.length;
|
||||
if (type == '=') {
|
||||
s_ref.set(seq);
|
||||
s_qry.set(seq);
|
||||
s_mid.set(Array(l+1).join("|"));
|
||||
slen[0] += l, slen[1] += l;
|
||||
} else if (type == '*') {
|
||||
s_ref.set(seq.charAt(0));
|
||||
s_qry.set(seq.charAt(1));
|
||||
s_mid.set(' ');
|
||||
slen[0] += 1, slen[1] += 1;
|
||||
} else if (type == '+') {
|
||||
s_ref.set(Array(l+1).join("-"));
|
||||
s_qry.set(seq);
|
||||
s_mid.set(Array(l+1).join(" "));
|
||||
slen[1] += l;
|
||||
} else if (type == '-') {
|
||||
s_ref.set(seq);
|
||||
s_qry.set(Array(l+1).join("-"));
|
||||
s_mid.set(Array(l+1).join(" "));
|
||||
slen[0] += l;
|
||||
}
|
||||
}
|
||||
|
||||
function print_aln(rs, qs, strand, slen, elen, s_ref, s_qry, s_mid)
|
||||
{
|
||||
print(["Ref+:", padding_str(rs + slen[0] + 1, 10, false), s_ref.toString(), padding_str(rs + elen[0], 10, true)].join(" "));
|
||||
print(" " + s_mid.toString());
|
||||
var st, en;
|
||||
if (strand == '+') st = qs + slen[1] + 1, en = qs + elen[1];
|
||||
else st = qs - slen[1], en = qs - elen[1] + 1;
|
||||
print(["Qry" + strand + ":", padding_str(st, 10, false), s_qry.toString(), padding_str(en , 10, true)].join(" "));
|
||||
}
|
||||
|
||||
var s_ref = new Bytes(), s_qry = new Bytes(), s_mid = new Bytes();
|
||||
var re = /([=\-\+\*])([A-Za-z]+)/g;
|
||||
|
||||
var buf = new Bytes();
|
||||
var file = new File(arguments[getopt.ind]);
|
||||
if (maf_out) print("##maf version=1\n");
|
||||
while (file.readline(buf) >= 0) {
|
||||
var m, line = buf.toString();
|
||||
var t = line.split("\t", 12);
|
||||
if ((m = /\tcs:Z:(\S+)/.exec(line)) == null) continue;
|
||||
var cs = m[1];
|
||||
s_ref.length = s_qry.length = s_mid.length = 0;
|
||||
var slen = [0, 0], elen = [0, 0];
|
||||
if (maf_out) {
|
||||
while ((m = re.exec(cs)) != null)
|
||||
update_aln(s_ref, s_qry, s_mid, m[1], m[2], elen);
|
||||
if (maf_out) {
|
||||
var score = (m = /\tAS:i:(\d+)/.exec(line)) != null? parseInt(m[1]) : 0;
|
||||
var len = t[0].length > t[5].length? t[0].length : t[5].length;
|
||||
print("a " + score);
|
||||
print(["s", padding_str(t[5], len, true), padding_str(t[7], 10, false), padding_str(parseInt(t[8]) - parseInt(t[7]), 10, false),
|
||||
"+", padding_str(t[6], 10, false), s_ref.toString()].join(" "));
|
||||
var qs, qe, ql = parseInt(t[1]);
|
||||
if (t[4] == '+') {
|
||||
qs = parseInt(t[2]);
|
||||
qe = parseInt(t[3]);
|
||||
} else {
|
||||
qs = ql - parseInt(t[3]);
|
||||
qe = ql - parseInt(t[2]);
|
||||
}
|
||||
print(["s", padding_str(t[0], len, true), padding_str(qs, 10, false), padding_str(qe - qs, 10, false),
|
||||
t[4], padding_str(ql, 10, false), s_qry.toString()].join(" "));
|
||||
print("");
|
||||
}
|
||||
} else {
|
||||
line = line.replace(/\tc[sg]:Z:\S+/g, "");
|
||||
print('>' + line);
|
||||
var rs = parseInt(t[7]), qs = t[4] == '+'? parseInt(t[2]) : parseInt(t[3]);
|
||||
var n_blocks = 0;
|
||||
while ((m = re.exec(cs)) != null) {
|
||||
var start = 0, rest = m[1] == '*'? 1 : m[2].length;
|
||||
while (rest > 0) {
|
||||
var l_proc;
|
||||
if (s_ref.length + rest >= line_len) {
|
||||
l_proc = line_len - s_ref.length;
|
||||
update_aln(s_ref, s_qry, s_mid, m[1], m[1] == '*'? m[2] : m[2].substr(start, l_proc), elen);
|
||||
if (n_blocks > 0) print("");
|
||||
print_aln(rs, qs, t[4], slen, elen, s_ref, s_qry, s_mid);
|
||||
++n_blocks;
|
||||
s_ref.length = s_qry.length = s_mid.length = 0;
|
||||
slen[0] = elen[0], slen[1] = elen[1];
|
||||
} else {
|
||||
l_proc = rest;
|
||||
update_aln(s_ref, s_qry, s_mid, m[1], m[1] == '*'? m[2] : m[2].substr(start, l_proc), elen);
|
||||
}
|
||||
rest -= l_proc, start += l_proc;
|
||||
}
|
||||
}
|
||||
if (s_ref.length > 0) {
|
||||
if (n_blocks > 0) print("");
|
||||
print_aln(rs, qs, t[4], slen, elen, s_ref, s_qry, s_mid);
|
||||
++n_blocks;
|
||||
}
|
||||
print("//");
|
||||
}
|
||||
}
|
||||
file.close();
|
||||
buf.destroy();
|
||||
|
||||
s_ref.destroy(); s_qry.destroy(); s_mid.destroy();
|
||||
Executable
+3126
File diff suppressed because it is too large
Load Diff
-111
@@ -1,111 +0,0 @@
|
||||
var getopt = function(args, ostr) {
|
||||
var oli; // option letter list index
|
||||
if (typeof(getopt.place) == 'undefined')
|
||||
getopt.ind = 0, getopt.arg = null, getopt.place = -1;
|
||||
if (getopt.place == -1) { // update scanning pointer
|
||||
if (getopt.ind >= args.length || args[getopt.ind].charAt(getopt.place = 0) != '-') {
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
if (getopt.place + 1 < args[getopt.ind].length && args[getopt.ind].charAt(++getopt.place) == '-') { // found "--"
|
||||
++getopt.ind;
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
}
|
||||
var optopt = args[getopt.ind].charAt(getopt.place++); // character checked for validity
|
||||
if (optopt == ':' || (oli = ostr.indexOf(optopt)) < 0) {
|
||||
if (optopt == '-') return null; // if the user didn't specify '-' as an option, assume it means null.
|
||||
if (getopt.place < 0) ++getopt.ind;
|
||||
return '?';
|
||||
}
|
||||
if (oli+1 >= ostr.length || ostr.charAt(++oli) != ':') { // don't need argument
|
||||
getopt.arg = null;
|
||||
if (getopt.place < 0 || getopt.place >= args[getopt.ind].length) ++getopt.ind, getopt.place = -1;
|
||||
} else { // need an argument
|
||||
if (getopt.place >= 0 && getopt.place < args[getopt.ind].length)
|
||||
getopt.arg = args[getopt.ind].substr(getopt.place);
|
||||
else if (args.length <= ++getopt.ind) { // no arg
|
||||
getopt.place = -1;
|
||||
if (ostr.length > 0 && ostr.charAt(0) == ':') return ':';
|
||||
return '?';
|
||||
} else getopt.arg = args[getopt.ind]; // white space
|
||||
getopt.place = -1;
|
||||
++getopt.ind;
|
||||
}
|
||||
return optopt;
|
||||
}
|
||||
|
||||
var c, pri_only = false;
|
||||
while ((c = getopt(arguments, "p")) != null)
|
||||
if (c == 'p') pri_only = true;
|
||||
|
||||
var file = arguments.length == getopt.ind? new File() : new File(arguments[getopt.ind]);
|
||||
var buf = new Bytes();
|
||||
var re = /(\d+)([MIDSHNX=])/g;
|
||||
|
||||
var len = {}, lineno = 0;
|
||||
while (file.readline(buf) >= 0) {
|
||||
var m, n_cigar = 0, line = buf.toString();
|
||||
++lineno;
|
||||
if (line.charAt(0) == '@') {
|
||||
if (/^@SQ/.test(line)) {
|
||||
var name = (m = /\tSN:(\S+)/.exec(line)) != null? m[1] : null;
|
||||
var l = (m = /\tLN:(\d+)/.exec(line)) != null? parseInt(m[1]) : null;
|
||||
if (name != null && l != null) len[name] = l;
|
||||
}
|
||||
continue;
|
||||
}
|
||||
var t = line.split("\t");
|
||||
var flag = parseInt(t[1]);
|
||||
if (t[9] != '*' && t[10] != '*' && t[9].length != t[10].length) throw Error("ERROR at line " + lineno + ": inconsistent SEQ and QUAL lengths - " + t[9].length + " != " + t[10].length);
|
||||
if (t[2] == '*' || (flag&4)) continue;
|
||||
if (pri_only && (flag&0x100)) continue;
|
||||
var tlen = len[t[2]];
|
||||
if (tlen == null) throw Error("ERROR at line " + lineno + ": can't find the length of contig " + t[2]);
|
||||
var nn = (m = /\tnn:i:(\d+)/.exec(line)) != null? parseInt(m[1]) : 0;
|
||||
var NM = (m = /\tNM:i:(\d+)/.exec(line)) != null? parseInt(m[1]) : null;
|
||||
var have_NM = NM == null? false : true;
|
||||
NM += nn;
|
||||
var clip = [0, 0], I = [0, 0], D = [0, 0], M = 0, N = 0, ql = 0, tl = 0, mm = 0, ext_cigar = false;
|
||||
while ((m = re.exec(t[5])) != null) {
|
||||
var l = parseInt(m[1]);
|
||||
if (m[2] == 'M') M += l, ql += l, tl += l, ext_cigar = false;
|
||||
else if (m[2] == 'I') ++I[0], I[1] += l, ql += l;
|
||||
else if (m[2] == 'D') ++D[0], D[1] += l, tl += l;
|
||||
else if (m[2] == 'N') N += l, tl += l;
|
||||
else if (m[2] == 'S') clip[M == 0? 0 : 1] = l, ql += l;
|
||||
else if (m[2] == 'H') clip[M == 0? 0 : 1] = l;
|
||||
else if (m[2] == '=') M += l, ql += l, tl += l, ext_cigar = true;
|
||||
else if (m[2] == 'X') M += l, ql += l, tl += l, mm += l, ext_cigar = true;
|
||||
++n_cigar;
|
||||
}
|
||||
if (n_cigar > 65535)
|
||||
warn("WARNING at line " + lineno + ": " + n_cigar + " CIGAR operations");
|
||||
if (tl + parseInt(t[3]) - 1 > tlen) {
|
||||
warn("WARNING at line " + lineno + ": alignment end position larger than ref length; skipped");
|
||||
continue;
|
||||
}
|
||||
if (t[9] != '*' && t[9].length != ql) {
|
||||
warn("WARNING at line " + lineno + ": SEQ length inconsistent with CIGAR (" + t[9].length + " != " + ql + "); skipped");
|
||||
continue;
|
||||
}
|
||||
if (!have_NM || ext_cigar) NM = I[1] + D[1] + mm;
|
||||
if (NM < I[1] + D[1] + mm) {
|
||||
warn("WARNING at line " + lineno + ": NM is less than the total number of gaps (" + NM + " < " + (I[1]+D[1]+mm) + ")");
|
||||
NM = I[1] + D[1] + mm;
|
||||
}
|
||||
var extra = ["mm:i:"+(NM-I[1]-D[1]), "io:i:"+I[0], "in:i:"+I[1], "do:i:"+D[0], "dn:i:"+D[1]];
|
||||
var match = M - (NM - I[1] - D[1]);
|
||||
var blen = M + I[1] + D[1];
|
||||
var qlen = M + I[1] + clip[0] + clip[1];
|
||||
var qs, qe;
|
||||
if (flag&16) qs = clip[1], qe = qlen - clip[0];
|
||||
else qs = clip[0], qe = qlen - clip[1];
|
||||
var ts = parseInt(t[3]) - 1, te = ts + M + D[1] + N;
|
||||
var a = [t[0], qlen, qs, qe, flag&16? '-' : '+', t[2], tlen, ts, te, match, blen, t[4]];
|
||||
print(a.join("\t"), extra.join("\t"));
|
||||
}
|
||||
|
||||
buf.destroy();
|
||||
file.close();
|
||||
@@ -1,191 +0,0 @@
|
||||
var getopt = function(args, ostr) {
|
||||
var oli; // option letter list index
|
||||
if (typeof(getopt.place) == 'undefined')
|
||||
getopt.ind = 0, getopt.arg = null, getopt.place = -1;
|
||||
if (getopt.place == -1) { // update scanning pointer
|
||||
if (getopt.ind >= args.length || args[getopt.ind].charAt(getopt.place = 0) != '-') {
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
if (getopt.place + 1 < args[getopt.ind].length && args[getopt.ind].charAt(++getopt.place) == '-') { // found "--"
|
||||
++getopt.ind;
|
||||
getopt.place = -1;
|
||||
return null;
|
||||
}
|
||||
}
|
||||
var optopt = args[getopt.ind].charAt(getopt.place++); // character checked for validity
|
||||
if (optopt == ':' || (oli = ostr.indexOf(optopt)) < 0) {
|
||||
if (optopt == '-') return null; // if the user didn't specify '-' as an option, assume it means null.
|
||||
if (getopt.place < 0) ++getopt.ind;
|
||||
return '?';
|
||||
}
|
||||
if (oli+1 >= ostr.length || ostr.charAt(++oli) != ':') { // don't need argument
|
||||
getopt.arg = null;
|
||||
if (getopt.place < 0 || getopt.place >= args[getopt.ind].length) ++getopt.ind, getopt.place = -1;
|
||||
} else { // need an argument
|
||||
if (getopt.place >= 0 && getopt.place < args[getopt.ind].length)
|
||||
getopt.arg = args[getopt.ind].substr(getopt.place);
|
||||
else if (args.length <= ++getopt.ind) { // no arg
|
||||
getopt.place = -1;
|
||||
if (ostr.length > 0 && ostr.charAt(0) == ':') return ':';
|
||||
return '?';
|
||||
} else getopt.arg = args[getopt.ind]; // white space
|
||||
getopt.place = -1;
|
||||
++getopt.ind;
|
||||
}
|
||||
return optopt;
|
||||
}
|
||||
|
||||
var c, max_mapq = 60, mode = 0, err_out_q = 256, print_err = false, ovlp_ratio = 0.1, cap_short_mapq = false;
|
||||
while ((c = getopt(arguments, "Q:r:m:c")) != null) {
|
||||
if (c == 'Q') err_out_q = parseInt(getopt.arg), print_err = true;
|
||||
else if (c == 'r') ovlp_ratio = parseFloat(getopt.arg);
|
||||
else if (c == 'm') mode = parseInt(getopt.arg);
|
||||
else if (c == 'c') cap_short_mapq = true;
|
||||
}
|
||||
|
||||
var file = arguments.length == getopt.ind? new File() : new File(arguments[getopt.ind]);
|
||||
var buf = new Bytes();
|
||||
|
||||
var tot = [], err = [];
|
||||
for (var q = 0; q <= max_mapq; ++q)
|
||||
tot[q] = err[q] = 0;
|
||||
|
||||
function is_correct(s, b)
|
||||
{
|
||||
if (s[0] != b[0] || s[3] != b[3]) return false;
|
||||
var o, l;
|
||||
if (s[1] < b[1]) {
|
||||
if (s[2] <= b[1]) return false;
|
||||
o = (s[2] < b[2]? s[2] : b[2]) - b[1];
|
||||
l = (s[2] > b[2]? s[2] : b[2]) - s[1];
|
||||
} else {
|
||||
if (b[2] <= s[1]) return false;
|
||||
o = (s[2] < b[2]? s[2] : b[2]) - s[1];
|
||||
l = (s[2] > b[2]? s[2] : b[2]) - b[1];
|
||||
}
|
||||
return o/l > ovlp_ratio? true : false;
|
||||
}
|
||||
|
||||
function count_err(qname, a, tot, err, mode)
|
||||
{
|
||||
if (a.length == 0) return;
|
||||
|
||||
var m, s;
|
||||
if ((m = /^(\S+)!(\S+)!(\d+)!(\d+)!([\+\-])$/.exec(qname)) != null) { // pbsim single-end reads
|
||||
s = [m[1], m[2], parseInt(m[3]), parseInt(m[4]), m[5]];
|
||||
} else if ((m = /^(\S+)!(\S+)!(\d+)_(\d+)!(\d+)_(\d+)!([\+\-])([\+\-])\/([12])$/.exec(qname)) != null) { // mason2 paired-end reads
|
||||
if (m[9] == '1') {
|
||||
s = [m[1], m[2], parseInt(m[3]), parseInt(m[5]), m[7]];
|
||||
} else {
|
||||
s = [m[1], m[2], parseInt(m[4]), parseInt(m[6]), m[8]];
|
||||
}
|
||||
} else throw Error("Failed to parse simulated read names '" + qname + "'");
|
||||
s.shift(); // skip the orginal read name
|
||||
|
||||
if (mode == 0 || mode == 1) { // longest only or first only
|
||||
var max_i = 0;
|
||||
if (mode == 0) { // longest only
|
||||
var max = 0;
|
||||
for (var i = 0; i < a.length; ++i)
|
||||
if (a[i][5] > max)
|
||||
max = a[i][5], max_i = i;
|
||||
}
|
||||
var mapq = a[max_i][4];
|
||||
++tot[mapq];
|
||||
if (!is_correct(s, a[max_i])) {
|
||||
if (mapq >= err_out_q)
|
||||
print('E', qname, a[max_i].join("\t"));
|
||||
++err[mapq];
|
||||
}
|
||||
} else if (mode == 2) { // all primary mode
|
||||
var max_err_mapq = -1, max_mapq = 0, max_err_i = -1;
|
||||
if (cap_short_mapq) {
|
||||
var max = 0, max_q = 0;
|
||||
for (var i = 0; i < a.length; ++i)
|
||||
if (a[i][5] > max)
|
||||
max = a[i][5], max_q = a[i][4];
|
||||
for (var i = 0; i < a.length; ++i)
|
||||
a[i][4] = max_q < a[i][4]? max_q : a[i][4];
|
||||
}
|
||||
for (var i = 0; i < a.length; ++i) {
|
||||
max_mapq = max_mapq > a[i][4]? max_mapq : a[i][4];
|
||||
if (!is_correct(s, a[i]))
|
||||
if (a[i][4] > max_err_mapq)
|
||||
max_err_mapq = a[i][4], max_err_i = i;
|
||||
}
|
||||
if (max_err_mapq >= 0) {
|
||||
++tot[max_err_mapq], ++err[max_err_mapq];
|
||||
if (max_err_mapq >= err_out_q)
|
||||
print('E', qname, a[max_err_i].join("\t"));
|
||||
} else ++tot[max_mapq];
|
||||
}
|
||||
}
|
||||
|
||||
var lineno = 0, last = null, a = [], n_unmapped = null;
|
||||
var re_cigar = /(\d+)([MIDSHN])/g;
|
||||
while (file.readline(buf) >= 0) {
|
||||
var m, line = buf.toString();
|
||||
++lineno;
|
||||
if (line[0] != '@') {
|
||||
var t = line.split("\t");
|
||||
if (t[4] == '+' || t[4] == '-') { // PAF
|
||||
if (last != t[0]) {
|
||||
if (last != null) count_err(last, a, tot, err, mode);
|
||||
a = [], last = t[0];
|
||||
}
|
||||
if (/\ts1:i:\d+/.test(line) && !/\ts2:i:\d+/.test(line)) // secondary alignment in minimap2 PAF
|
||||
continue;
|
||||
var mapq = parseInt(t[11]);
|
||||
if (mapq > max_mapq) mapq = max_mapq;
|
||||
a.push([t[5], parseInt(t[7]), parseInt(t[8]), t[4], mapq, parseInt(t[9])]);
|
||||
} else { // SAM
|
||||
var flag = parseInt(t[1]);
|
||||
var read_no = flag>>6&0x3;
|
||||
var qname = read_no == 1 || read_no == 2? t[0] + '/' + read_no : t[0];
|
||||
if (last != qname) {
|
||||
if (last != null) count_err(last, a, tot, err, mode);
|
||||
a = [], last = qname;
|
||||
}
|
||||
if (flag&0x100) continue; // secondary alignment
|
||||
if ((flag&0x4) || t[2] == '*') { // unmapped
|
||||
if (n_unmapped == null) n_unmapped = 0;
|
||||
++n_unmapped;
|
||||
continue;
|
||||
}
|
||||
var mapq = parseInt(t[4]);
|
||||
if (mapq > max_mapq) mapq = max_mapq;
|
||||
var pos = parseInt(t[3]) - 1, pos_end = pos;
|
||||
var n_gap = 0, mlen = 0;
|
||||
while ((m = re_cigar.exec(t[5])) != null) {
|
||||
var len = parseInt(m[1]);
|
||||
if (m[2] == 'M') pos_end += len, mlen += len;
|
||||
else if (m[2] == 'I') n_gap += len;
|
||||
else if (m[2] == 'D') n_gap += len, pos_end += len;
|
||||
}
|
||||
var score = pos_end - pos;
|
||||
if ((m = /\tNM:i:(\d+)/.exec(line)) != null) {
|
||||
var NM = parseInt(m[1]);
|
||||
if (NM >= n_gap) score = mlen - (NM - n_gap);
|
||||
}
|
||||
a.push([t[2], pos, pos_end, (flag&16)? '-' : '+', mapq, score]);
|
||||
}
|
||||
}
|
||||
}
|
||||
if (last != null) count_err(last, a, tot, err, mode);
|
||||
|
||||
buf.destroy();
|
||||
file.close();
|
||||
|
||||
var sum_tot = 0, sum_err = 0, q_out = -1, sum_tot2 = 0, sum_err2 = 0;
|
||||
for (var q = max_mapq; q >= 0; --q) {
|
||||
if (tot[q] == 0) continue;
|
||||
if (q_out < 0 || err[q] > 0) {
|
||||
if (q_out >= 0) print('Q', q_out, sum_tot, sum_err, (sum_err2/sum_tot2).toFixed(9));
|
||||
sum_tot = sum_err = 0, q_out = q;
|
||||
}
|
||||
sum_tot += tot[q], sum_err += err[q];
|
||||
sum_tot2 += tot[q], sum_err2 += err[q];
|
||||
}
|
||||
print('Q', q_out, sum_tot, sum_err, (sum_err2/sum_tot2).toFixed(9));
|
||||
if (n_unmapped != null) print('U', n_unmapped);
|
||||
@@ -1,105 +0,0 @@
|
||||
Bytes.prototype.reverse = function()
|
||||
{
|
||||
for (var i = 0; i < this.length>>1; ++i) {
|
||||
var tmp = this[i];
|
||||
this[i] = this[this.length - i - 1];
|
||||
this[this.length - i - 1] = tmp;
|
||||
}
|
||||
}
|
||||
|
||||
// reverse complement a DNA string
|
||||
Bytes.prototype.revcomp = function()
|
||||
{
|
||||
if (Bytes.rctab == null) {
|
||||
var s1 = 'WSATUGCYRKMBDHVNwsatugcyrkmbdhvn';
|
||||
var s2 = 'WSTAACGRYMKVHDBNwstaacgrymkvhdbn';
|
||||
Bytes.rctab = [];
|
||||
for (var i = 0; i < 256; ++i) Bytes.rctab[i] = 0;
|
||||
for (var i = 0; i < s1.length; ++i)
|
||||
Bytes.rctab[s1.charCodeAt(i)] = s2.charCodeAt(i);
|
||||
}
|
||||
for (var i = 0; i < this.length>>1; ++i) {
|
||||
var tmp = this[this.length - i - 1];
|
||||
this[this.length - i - 1] = Bytes.rctab[this[i]];
|
||||
this[i] = Bytes.rctab[tmp];
|
||||
}
|
||||
if (this.length&1)
|
||||
this[this.length>>1] = Bytes.rctab[this[this.length>>1]];
|
||||
}
|
||||
|
||||
if (arguments.length == 0) {
|
||||
print("Usage: k8 sim-mason2.js <mason.sam>");
|
||||
exit(1);
|
||||
}
|
||||
|
||||
function print_se(a)
|
||||
{
|
||||
print('@' + a.slice(0, 5).join("!") + " " + a[8]);
|
||||
print(a[5]);
|
||||
print("+");
|
||||
print(a[6]);
|
||||
}
|
||||
|
||||
var buf = new Bytes(), buf2 = new Bytes();
|
||||
var file = new File(arguments[0]);
|
||||
var re = /(\d+)([MIDSHN])/g;
|
||||
var last = null;
|
||||
while (file.readline(buf) >= 0) {
|
||||
var t = buf.toString().split("\t");
|
||||
if (t[0].charAt(0) == '@') continue;
|
||||
var m, l_ref = 0;
|
||||
while ((m = re.exec(t[5])) != null)
|
||||
if (m[2] == 'D' || m[2] == 'M' || m[2] == 'N')
|
||||
l_ref += parseInt(m[1]);
|
||||
var flag = parseInt(t[1]);
|
||||
var rev = !!(flag&16);
|
||||
var seq, qual;
|
||||
if (rev) {
|
||||
buf2.length = 0;
|
||||
buf2.set(t[9], 0);
|
||||
buf2.revcomp();
|
||||
seq = buf2.toString();
|
||||
buf2.set(t[10], 0);
|
||||
buf2.reverse();
|
||||
qual = buf2.toString();
|
||||
} else seq = t[9], qual = t[10];
|
||||
var qname = t[0];
|
||||
qname = qname.replace(/^simulated./, "");
|
||||
var chr = t[2];
|
||||
var pos = parseInt(t[3]) - 1;
|
||||
var strand = (flag&16)? '-' : '+';
|
||||
var read_no = flag&0xc0;
|
||||
if (read_no == 0x40) read_no = 1;
|
||||
else if (read_no == 0x80) read_no = 2;
|
||||
else read_no = 0;
|
||||
var err = 0, snp = 0, indel = 0;
|
||||
for (var i = 11; i < t.length; ++i) {
|
||||
if ((m = /^XE:i:(\d+)/.exec(t[i])) != null) err = m[1];
|
||||
else if ((m = /^XS:i:(\d+)/.exec(t[i])) != null) snp = m[1];
|
||||
else if ((m = /^XI:i:(\d+)/.exec(t[i])) != null) indel = m[1];
|
||||
}
|
||||
var comment = [err, snp, indel].join(":");
|
||||
if (last == null) {
|
||||
last = [qname, chr, pos, pos + l_ref, strand, seq, qual, read_no, comment];
|
||||
} else if (last[0] != qname) {
|
||||
print_se(last);
|
||||
last = [qname, chr, pos, pos + l_ref, strand, seq, qual, read_no, comment];
|
||||
} else {
|
||||
if (read_no == 2) { // last[] is the first read
|
||||
if (last[7] != 1) throw Error("ERROR: can't find read1");
|
||||
var name = [qname, chr, last[2] + "_" + pos, last[3] + "_" + (pos + l_ref), last[4] + strand].join("!");
|
||||
print('@' + name + '/1' + ' ' + last[8]); print(last[5]); print("+"); print(last[6]);
|
||||
print('@' + name + '/2' + ' ' + comment); print(seq); print("+"); print(qual);
|
||||
} else {
|
||||
if (last[7] != 2) throw Error("ERROR: can't find read2");
|
||||
var name = [qname, chr, pos + "_" + last[2], (pos + l_ref) + "_" + last[3], strand + last[4]].join("!");
|
||||
print('@' + name + '/1' + ' ' + comment); print(seq); print("+"); print(qual);
|
||||
print('@' + name + '/2' + ' ' + last[8]); print(last[5]); print("+"); print(last[6]);
|
||||
}
|
||||
last = null;
|
||||
}
|
||||
}
|
||||
if (last != null) print_se(last);
|
||||
file.close();
|
||||
buf.destroy();
|
||||
buf2.destroy();
|
||||
@@ -1,81 +0,0 @@
|
||||
Bytes.prototype.reverse = function()
|
||||
{
|
||||
for (var i = 0; i < this.length>>1; ++i) {
|
||||
var tmp = this[i];
|
||||
this[i] = this[this.length - i - 1];
|
||||
this[this.length - i - 1] = tmp;
|
||||
}
|
||||
}
|
||||
|
||||
// reverse complement a DNA string
|
||||
Bytes.prototype.revcomp = function()
|
||||
{
|
||||
if (Bytes.rctab == null) {
|
||||
var s1 = 'WSATUGCYRKMBDHVNwsatugcyrkmbdhvn';
|
||||
var s2 = 'WSTAACGRYMKVHDBNwstaacgrymkvhdbn';
|
||||
Bytes.rctab = [];
|
||||
for (var i = 0; i < 256; ++i) Bytes.rctab[i] = 0;
|
||||
for (var i = 0; i < s1.length; ++i)
|
||||
Bytes.rctab[s1.charCodeAt(i)] = s2.charCodeAt(i);
|
||||
}
|
||||
for (var i = 0; i < this.length>>1; ++i) {
|
||||
var tmp = this[this.length - i - 1];
|
||||
this[this.length - i - 1] = Bytes.rctab[this[i]];
|
||||
this[i] = Bytes.rctab[tmp];
|
||||
}
|
||||
if (this.length&1)
|
||||
this[this.length>>1] = Bytes.rctab[this[this.length>>1]];
|
||||
}
|
||||
|
||||
if (arguments.length < 2) {
|
||||
print("Usage: k8 sim-pbsim.js <ref.fa.fai> <pbsim1.maf> [[pbsim2.maf] ...]");
|
||||
exit(1);
|
||||
}
|
||||
|
||||
var file, buf = new Bytes(), buf2 = new Bytes();
|
||||
file = new File(arguments[0]);
|
||||
var chr_list = [];
|
||||
while (file.readline(buf) >= 0) {
|
||||
var t = buf.toString().split(/\s+/);
|
||||
chr_list.push(t[0]);
|
||||
}
|
||||
file.close();
|
||||
|
||||
for (var k = 1; k < arguments.length; ++k) {
|
||||
var fn = arguments[k];
|
||||
file = new File(fn);
|
||||
var state = 0, reg;
|
||||
while (file.readline(buf) >= 0) {
|
||||
var line = buf.toString();
|
||||
if (state == 0 && line.charAt(0) == 'a') {
|
||||
state = 1;
|
||||
} else if (state == 1 && line.charAt(0) == 's') {
|
||||
var t = line.split(/\s+/);
|
||||
var st = parseInt(t[2]);
|
||||
reg = [st, st + parseInt(t[3])];
|
||||
state = 2;
|
||||
} else if (state == 2 && line.charAt(0) == 's') {
|
||||
var m, t = line.split(/\s+/);
|
||||
if ((m = /S(\d+)_\d+/.exec(t[1])) == null) throw Error("Failed to parse the read name");
|
||||
var chr_id = parseInt(m[1]) - 1;
|
||||
if (chr_id >= chr_list.length) throw Error("Index outside the chr list");
|
||||
var name = [t[1], chr_list[chr_id], reg[0], reg[1], t[4]].join("!");
|
||||
var seq = t[6].replace(/\-/g, "");
|
||||
if (seq.length != parseInt(t[5])) throw Error("Inconsistent read length");
|
||||
if (seq.indexOf("NN") < 0) {
|
||||
if (t[4] == '-') {
|
||||
buf2.set(seq, 0);
|
||||
buf2.length = seq.length;
|
||||
buf2.revcomp();
|
||||
seq = buf2.toString();
|
||||
}
|
||||
print(">" + name);
|
||||
print(seq);
|
||||
}
|
||||
state = 0;
|
||||
}
|
||||
}
|
||||
file.close();
|
||||
}
|
||||
buf.destroy();
|
||||
buf2.destroy();
|
||||
@@ -4,6 +4,7 @@
|
||||
#include <assert.h>
|
||||
#include "minimap.h"
|
||||
#include "bseq.h"
|
||||
#include "kseq.h"
|
||||
|
||||
#define MM_PARENT_UNSET (-1)
|
||||
#define MM_PARENT_TMP_PRI (-2)
|
||||
@@ -16,47 +17,110 @@
|
||||
#define MM_SEED_LONG_JOIN (1ULL<<40)
|
||||
#define MM_SEED_IGNORE (1ULL<<41)
|
||||
#define MM_SEED_TANDEM (1ULL<<42)
|
||||
#define MM_SEED_SELF (1ULL<<43)
|
||||
|
||||
#define MM_SEED_SEG_SHIFT 48
|
||||
#define MM_SEED_SEG_MASK (0xffULL<<(MM_SEED_SEG_SHIFT))
|
||||
|
||||
#ifndef kroundup32
|
||||
#define kroundup32(x) (--(x), (x)|=(x)>>1, (x)|=(x)>>2, (x)|=(x)>>4, (x)|=(x)>>8, (x)|=(x)>>16, ++(x))
|
||||
#endif
|
||||
|
||||
#define mm_seq4_set(s, i, c) ((s)[(i)>>3] |= (uint32_t)(c) << (((i)&7)<<2))
|
||||
#define mm_seq4_get(s, i) ((s)[(i)>>3] >> (((i)&7)<<2) & 0xf)
|
||||
|
||||
#define MALLOC(type, len) ((type*)malloc((len) * sizeof(type)))
|
||||
#define CALLOC(type, len) ((type*)calloc((len), sizeof(type)))
|
||||
|
||||
#ifdef __cplusplus
|
||||
extern "C" {
|
||||
#endif
|
||||
|
||||
#ifndef KSTRING_T
|
||||
#define KSTRING_T kstring_t
|
||||
typedef struct __kstring_t {
|
||||
unsigned l, m;
|
||||
char *s;
|
||||
} kstring_t;
|
||||
#endif
|
||||
typedef struct {
|
||||
uint32_t n;
|
||||
uint32_t q_pos;
|
||||
uint32_t q_span:31, flt:1;
|
||||
uint32_t seg_id:31, is_tandem:1;
|
||||
const uint64_t *cr;
|
||||
} mm_seed_t;
|
||||
|
||||
typedef struct {
|
||||
int n_u, n_a;
|
||||
uint64_t *u;
|
||||
mm128_t *a;
|
||||
} mm_seg_t;
|
||||
|
||||
double cputime(void);
|
||||
double realtime(void);
|
||||
long peakrss(void);
|
||||
|
||||
void radix_sort_128x(mm128_t *beg, mm128_t *end);
|
||||
void radix_sort_64(uint64_t *beg, uint64_t *end);
|
||||
uint32_t ks_ksmall_uint32_t(size_t n, uint32_t arr[], size_t kk);
|
||||
|
||||
void mm_write_sam_SQ(const mm_idx_t *idx);
|
||||
void mm_write_sam_hdr_no_SQ(const char *rg, const char *ver, int argc, char *argv[]);
|
||||
void mm_write_paf(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r, void *km, int opt_flag);
|
||||
void mm_write_sam(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r, int n_regs, const mm_reg1_t *regs);
|
||||
int mm_chain_dp(int max_dist_x, int max_dist_y, int bw, int max_skip, int min_cnt, int min_sc, int is_cdna, int64_t n, mm128_t *a, uint64_t **_u, void *km);
|
||||
mm_reg1_t *mm_align_skeleton(void *km, const mm_mapopt_t *opt, const mm_idx_t *mi, int qlen, const char *qstr, int *n_regs_, mm_reg1_t *regs, mm128_t *a);
|
||||
void mm_sketch(void *km, const char *str, int len, int w, int k, uint32_t rid, int is_hpc, mm128_v *p);
|
||||
|
||||
mm_reg1_t *mm_gen_regs(void *km, int qlen, int n_u, uint64_t *u, mm128_t *a);
|
||||
void mm_split_reg(mm_reg1_t *r, mm_reg1_t *r2, int n, int qlen, mm128_t *a);
|
||||
mm_seed_t *mm_collect_matches(void *km, int *_n_m, int qlen, int max_occ, int max_max_occ, int dist, const mm_idx_t *mi, const mm128_v *mv, int64_t *n_a, int *rep_len, int *n_mini_pos, uint64_t **mini_pos);
|
||||
|
||||
double mm_event_identity(const mm_reg1_t *r);
|
||||
int mm_write_sam_hdr(const mm_idx_t *mi, const char *rg, const char *ver, int argc, char *argv[]);
|
||||
void mm_write_paf(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r, void *km, int64_t opt_flag);
|
||||
void mm_write_paf3(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r, void *km, int64_t opt_flag, int rep_len);
|
||||
void mm_write_sam(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, const mm_reg1_t *r, int n_regs, const mm_reg1_t *regs);
|
||||
void mm_write_sam2(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, int seg_idx, int reg_idx, int n_seg, const int *n_regs, const mm_reg1_t *const* regs, void *km, int64_t opt_flag);
|
||||
void mm_write_sam3(kstring_t *s, const mm_idx_t *mi, const mm_bseq1_t *t, int seg_idx, int reg_idx, int n_seg, const int *n_regss, const mm_reg1_t *const* regss, void *km, int64_t opt_flag, int rep_len);
|
||||
|
||||
void mm_idxopt_init(mm_idxopt_t *opt);
|
||||
const uint64_t *mm_idx_get(const mm_idx_t *mi, uint64_t minier, int *n);
|
||||
int32_t mm_idx_cal_max_occ(const mm_idx_t *mi, float f);
|
||||
int mm_idx_getseq2(const mm_idx_t *mi, int is_rev, uint32_t rid, uint32_t st, uint32_t en, uint8_t *seq);
|
||||
mm_reg1_t *mm_align_skeleton(void *km, const mm_mapopt_t *opt, const mm_idx_t *mi, int qlen, const char *qstr, int *n_regs_, mm_reg1_t *regs, mm128_t *a);
|
||||
mm_reg1_t *mm_gen_regs(void *km, uint32_t hash, int qlen, int n_u, uint64_t *u, mm128_t *a, int is_qstrand);
|
||||
|
||||
mm128_t *mm_chain_dp(int max_dist_x, int max_dist_y, int bw, int max_skip, int max_iter, int min_cnt, int min_sc, float gap_scale,
|
||||
int is_cdna, int n_segs, int64_t n, mm128_t *a, int *n_u_, uint64_t **_u, void *km);
|
||||
mm128_t *mg_lchain_dp(int max_dist_x, int max_dist_y, int bw, int max_skip, int max_iter, int min_cnt, int min_sc, float chn_pen_gap, float chn_pen_skip,
|
||||
int is_cdna, int n_segs, int64_t n, mm128_t *a, int *n_u_, uint64_t **_u, void *km);
|
||||
mm128_t *mg_lchain_rmq(int max_dist, int max_dist_inner, int bw, int max_chn_skip, int cap_rmq_size, int min_cnt, int min_sc, float chn_pen_gap, float chn_pen_skip,
|
||||
int64_t n, mm128_t *a, int *n_u_, uint64_t **_u, void *km);
|
||||
|
||||
void mm_mark_alt(const mm_idx_t *mi, int n, mm_reg1_t *r);
|
||||
void mm_split_reg(mm_reg1_t *r, mm_reg1_t *r2, int n, int qlen, mm128_t *a, int is_qstrand);
|
||||
void mm_sync_regs(void *km, int n_regs, mm_reg1_t *regs);
|
||||
int mm_squeeze_a(void *km, int n_regs, mm_reg1_t *regs, mm128_t *a);
|
||||
int mm_set_sam_pri(int n, mm_reg1_t *r);
|
||||
void mm_set_parent(void *km, float mask_level, int n, mm_reg1_t *r);
|
||||
void mm_select_sub(void *km, float mask_level, float pri_ratio, int min_diff, int best_n, int *n_, mm_reg1_t *r);
|
||||
void mm_filter_regs(void *km, const mm_mapopt_t *opt, int *n_regs, mm_reg1_t *regs);
|
||||
void mm_join_long(void *km, const mm_mapopt_t *opt, int qlen, int *n_regs, mm_reg1_t *regs, mm128_t *a);
|
||||
void mm_hit_sort_by_dp(void *km, int *n_regs, mm_reg1_t *r);
|
||||
void mm_set_mapq(int n_regs, mm_reg1_t *regs, int min_chain_sc);
|
||||
void mm_set_parent(void *km, float mask_level, int mask_len, int n, mm_reg1_t *r, int sub_diff, int hard_mask_level, float alt_diff_frac);
|
||||
void mm_select_sub(void *km, float pri_ratio, int min_diff, int best_n, int *n_, mm_reg1_t *r);
|
||||
void mm_select_sub_multi(void *km, float pri_ratio, float pri1, float pri2, int max_gap_ref, int min_diff, int best_n, int n_segs, const int *qlens, int *n_, mm_reg1_t *r);
|
||||
void mm_filter_regs(const mm_mapopt_t *opt, int qlen, int *n_regs, mm_reg1_t *regs);
|
||||
void mm_hit_sort(void *km, int *n_regs, mm_reg1_t *r, float alt_diff_frac);
|
||||
void mm_set_mapq(void *km, int n_regs, mm_reg1_t *regs, int min_chain_sc, int match_sc, int rep_len, int is_sr);
|
||||
void mm_update_dp_max(int qlen, int n_regs, mm_reg1_t *regs, float frac, int a, int b);
|
||||
|
||||
void mm_est_err(const mm_idx_t *mi, int qlen, int n_regs, mm_reg1_t *regs, const mm128_t *a, int32_t n, const uint64_t *mini_pos);
|
||||
|
||||
mm_seg_t *mm_seg_gen(void *km, uint32_t hash, int n_segs, const int *qlens, int n_regs0, const mm_reg1_t *regs0, int *n_regs, mm_reg1_t **regs, const mm128_t *a);
|
||||
void mm_seg_free(void *km, int n_segs, mm_seg_t *segs);
|
||||
void mm_pair(void *km, int max_gap_ref, int dp_bonus, int sub_diff, int match_sc, const int *qlens, int *n_regs, mm_reg1_t **regs);
|
||||
|
||||
FILE *mm_split_init(const char *prefix, const mm_idx_t *mi);
|
||||
mm_idx_t *mm_split_merge_prep(const char *prefix, int n_splits, FILE **fp, uint32_t *n_seq_part);
|
||||
int mm_split_merge(int n_segs, const char **fn, const mm_mapopt_t *opt, int n_split_idx);
|
||||
void mm_split_rm_tmp(const char *prefix, int n_splits);
|
||||
|
||||
void mm_err_puts(const char *str);
|
||||
void mm_err_fwrite(const void *p, size_t size, size_t nitems, FILE *fp);
|
||||
void mm_err_fread(void *p, size_t size, size_t nitems, FILE *fp);
|
||||
|
||||
static inline float mg_log2(float x) // NB: this doesn't work when x<2
|
||||
{
|
||||
union { float f; uint32_t i; } z = { x };
|
||||
float log_2 = ((z.i >> 23) & 255) - 128;
|
||||
z.i &= ~(255 << 23);
|
||||
z.i += 127 << 23;
|
||||
log_2 += (-0.34484843f * z.f + 2.02466578f) * z.f - 0.67487759f;
|
||||
return log_2;
|
||||
}
|
||||
|
||||
#ifdef __cplusplus
|
||||
}
|
||||
|
||||
@@ -0,0 +1,236 @@
|
||||
#include <stdio.h>
|
||||
#include <limits.h>
|
||||
#include "mmpriv.h"
|
||||
extern bool enable_vect_dp_chaining;
|
||||
void mm_idxopt_init(mm_idxopt_t *opt)
|
||||
{
|
||||
memset(opt, 0, sizeof(mm_idxopt_t));
|
||||
opt->k = 15, opt->w = 10, opt->flag = 0;
|
||||
opt->bucket_bits = 14;
|
||||
opt->mini_batch_size = 50000000;
|
||||
opt->batch_size = 4000000000ULL;
|
||||
}
|
||||
|
||||
void mm_mapopt_init(mm_mapopt_t *opt)
|
||||
{
|
||||
memset(opt, 0, sizeof(mm_mapopt_t));
|
||||
opt->seed = 11;
|
||||
opt->mid_occ_frac = 2e-4f;
|
||||
opt->min_mid_occ = 10;
|
||||
opt->max_mid_occ = 1000000;
|
||||
opt->sdust_thres = 0; // no SDUST masking
|
||||
|
||||
opt->min_cnt = 3;
|
||||
opt->min_chain_score = 40;
|
||||
opt->bw = 500, opt->bw_long = 20000;
|
||||
opt->max_gap = 5000;
|
||||
opt->max_gap_ref = -1;
|
||||
opt->max_chain_skip = 25;
|
||||
opt->max_chain_iter = 5000;
|
||||
opt->rmq_inner_dist = 1000;
|
||||
opt->rmq_size_cap = 100000;
|
||||
opt->rmq_rescue_size = 1000;
|
||||
opt->rmq_rescue_ratio = 0.1f;
|
||||
opt->chain_gap_scale = 0.8f;
|
||||
opt->max_max_occ = 4095;
|
||||
opt->occ_dist = 500;
|
||||
|
||||
opt->mask_level = 0.5f;
|
||||
opt->mask_len = INT_MAX;
|
||||
opt->pri_ratio = 0.8f;
|
||||
opt->best_n = 5;
|
||||
|
||||
opt->alt_drop = 0.15f;
|
||||
|
||||
opt->a = 2, opt->b = 4, opt->q = 4, opt->e = 2, opt->q2 = 24, opt->e2 = 1;
|
||||
opt->sc_ambi = 1;
|
||||
opt->zdrop = 400, opt->zdrop_inv = 200;
|
||||
opt->end_bonus = -1;
|
||||
opt->min_dp_max = opt->min_chain_score * opt->a;
|
||||
opt->min_ksw_len = 200;
|
||||
opt->anchor_ext_len = 20, opt->anchor_ext_shift = 6;
|
||||
opt->max_clip_ratio = 1.0f;
|
||||
opt->mini_batch_size = 500000000;
|
||||
opt->max_sw_mat = 100000000;
|
||||
|
||||
opt->rank_min_len = 500;
|
||||
opt->rank_frac = 0.9f;
|
||||
|
||||
opt->pe_ori = 0; // FF
|
||||
opt->pe_bonus = 33;
|
||||
}
|
||||
|
||||
void mm_mapopt_update(mm_mapopt_t *opt, const mm_idx_t *mi)
|
||||
{
|
||||
if ((opt->flag & MM_F_SPLICE_FOR) || (opt->flag & MM_F_SPLICE_REV))
|
||||
opt->flag |= MM_F_SPLICE;
|
||||
if (opt->mid_occ <= 0) {
|
||||
opt->mid_occ = mm_idx_cal_max_occ(mi, opt->mid_occ_frac);
|
||||
if (opt->mid_occ < opt->min_mid_occ)
|
||||
opt->mid_occ = opt->min_mid_occ;
|
||||
if (opt->max_mid_occ > opt->min_mid_occ && opt->mid_occ > opt->max_mid_occ)
|
||||
opt->mid_occ = opt->max_mid_occ;
|
||||
}
|
||||
if (mm_verbose >= 3)
|
||||
fprintf(stderr, "[M::%s::%.3f*%.2f] mid_occ = %d\n", __func__, realtime() - mm_realtime0, cputime() / (realtime() - mm_realtime0), opt->mid_occ);
|
||||
}
|
||||
|
||||
void mm_mapopt_max_intron_len(mm_mapopt_t *opt, int max_intron_len)
|
||||
{
|
||||
if ((opt->flag & MM_F_SPLICE) && max_intron_len > 0)
|
||||
opt->max_gap_ref = opt->bw = opt->bw_long = max_intron_len;
|
||||
}
|
||||
|
||||
int mm_set_opt(const char *preset, mm_idxopt_t *io, mm_mapopt_t *mo)
|
||||
{
|
||||
if (preset == 0) {
|
||||
mm_idxopt_init(io);
|
||||
mm_mapopt_init(mo);
|
||||
} else if (strcmp(preset, "map-ont") == 0) { // this is the same as the default
|
||||
} else if (strcmp(preset, "ava-ont") == 0) {
|
||||
io->flag = 0, io->k = 15, io->w = 5;
|
||||
mo->flag |= MM_F_ALL_CHAINS | MM_F_NO_DIAG | MM_F_NO_DUAL | MM_F_NO_LJOIN;
|
||||
mo->min_chain_score = 100, mo->pri_ratio = 0.0f, mo->max_chain_skip = 25;
|
||||
mo->bw = mo->bw_long = 2000;
|
||||
mo->occ_dist = 0;
|
||||
} else if (strcmp(preset, "map10k") == 0 || strcmp(preset, "map-pb") == 0) {
|
||||
#if defined (PARALLEL_CHAINING) && (defined(__AVX2__)) && (!defined(__AVX512BW__))
|
||||
enable_vect_dp_chaining = false;
|
||||
#endif
|
||||
io->flag |= MM_I_HPC, io->k = 19;
|
||||
} else if (strcmp(preset, "ava-pb") == 0) {
|
||||
io->flag |= MM_I_HPC, io->k = 19, io->w = 5;
|
||||
mo->flag |= MM_F_ALL_CHAINS | MM_F_NO_DIAG | MM_F_NO_DUAL | MM_F_NO_LJOIN;
|
||||
mo->min_chain_score = 100, mo->pri_ratio = 0.0f, mo->max_chain_skip = 25;
|
||||
mo->bw_long = mo->bw;
|
||||
mo->occ_dist = 0;
|
||||
} else if (strcmp(preset, "map-hifi") == 0 || strcmp(preset, "map-ccs") == 0) {
|
||||
#if defined (PARALLEL_CHAINING) && (defined(__AVX2__)) && (!defined(__AVX512BW__))
|
||||
enable_vect_dp_chaining = false;
|
||||
#endif
|
||||
io->flag = 0, io->k = 19, io->w = 19;
|
||||
mo->max_gap = 10000;
|
||||
mo->a = 1, mo->b = 4, mo->q = 6, mo->q2 = 26, mo->e = 2, mo->e2 = 1;
|
||||
mo->occ_dist = 500;
|
||||
mo->min_mid_occ = 50, mo->max_mid_occ = 500;
|
||||
mo->min_dp_max = 200;
|
||||
} else if (strncmp(preset, "asm", 3) == 0) {
|
||||
io->flag = 0, io->k = 19, io->w = 19;
|
||||
mo->bw = mo->bw_long = 100000;
|
||||
mo->max_gap = 10000;
|
||||
mo->flag |= MM_F_RMQ;
|
||||
mo->min_mid_occ = 50, mo->max_mid_occ = 500;
|
||||
mo->min_dp_max = 200;
|
||||
mo->best_n = 50;
|
||||
if (strcmp(preset, "asm5") == 0) {
|
||||
mo->a = 1, mo->b = 19, mo->q = 39, mo->q2 = 81, mo->e = 3, mo->e2 = 1, mo->zdrop = mo->zdrop_inv = 200;
|
||||
} else if (strcmp(preset, "asm10") == 0) {
|
||||
mo->a = 1, mo->b = 9, mo->q = 16, mo->q2 = 41, mo->e = 2, mo->e2 = 1, mo->zdrop = mo->zdrop_inv = 200;
|
||||
} else if (strcmp(preset, "asm20") == 0) {
|
||||
mo->a = 1, mo->b = 4, mo->q = 6, mo->q2 = 26, mo->e = 2, mo->e2 = 1, mo->zdrop = mo->zdrop_inv = 200;
|
||||
io->w = 10;
|
||||
} else return -1;
|
||||
} else if (strcmp(preset, "short") == 0 || strcmp(preset, "sr") == 0) {
|
||||
io->flag = 0, io->k = 21, io->w = 11;
|
||||
mo->flag |= MM_F_SR | MM_F_FRAG_MODE | MM_F_NO_PRINT_2ND | MM_F_2_IO_THREADS | MM_F_HEAP_SORT;
|
||||
mo->pe_ori = 0<<1|1; // FR
|
||||
mo->a = 2, mo->b = 8, mo->q = 12, mo->e = 2, mo->q2 = 24, mo->e2 = 1;
|
||||
mo->zdrop = mo->zdrop_inv = 100;
|
||||
mo->end_bonus = 10;
|
||||
mo->max_frag_len = 800;
|
||||
mo->max_gap = 100;
|
||||
mo->bw = mo->bw_long = 100;
|
||||
mo->pri_ratio = 0.5f;
|
||||
mo->min_cnt = 2;
|
||||
mo->min_chain_score = 25;
|
||||
mo->min_dp_max = 40;
|
||||
mo->best_n = 20;
|
||||
mo->mid_occ = 1000;
|
||||
mo->max_occ = 5000;
|
||||
mo->mini_batch_size = 50000000;
|
||||
} else if (strncmp(preset, "splice", 6) == 0 || strcmp(preset, "cdna") == 0) {
|
||||
io->flag = 0, io->k = 15, io->w = 5;
|
||||
mo->flag |= MM_F_SPLICE | MM_F_SPLICE_FOR | MM_F_SPLICE_REV | MM_F_SPLICE_FLANK;
|
||||
mo->max_sw_mat = 0;
|
||||
mo->max_gap = 2000, mo->max_gap_ref = mo->bw = mo->bw_long = 200000;
|
||||
mo->a = 1, mo->b = 2, mo->q = 2, mo->e = 1, mo->q2 = 32, mo->e2 = 0;
|
||||
mo->noncan = 9;
|
||||
mo->junc_bonus = 9;
|
||||
mo->zdrop = 200, mo->zdrop_inv = 100; // because mo->a is halved
|
||||
if (strcmp(preset, "splice:hq") == 0)
|
||||
mo->junc_bonus = 5, mo->b = 4, mo->q = 6, mo->q2 = 24;
|
||||
} else return -1;
|
||||
return 0;
|
||||
}
|
||||
|
||||
int mm_check_opt(const mm_idxopt_t *io, const mm_mapopt_t *mo)
|
||||
{
|
||||
if (mo->bw > mo->bw_long) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m with '-rNUM1,NUM2', NUM1 (%d) can't be larger than NUM2 (%d)\033[0m\n", mo->bw, mo->bw_long);
|
||||
return -8;
|
||||
}
|
||||
if ((mo->flag & MM_F_RMQ) && (mo->flag & (MM_F_SR|MM_F_SPLICE))) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m --rmq doesn't work with --sr or --splice\033[0m\n");
|
||||
return -7;
|
||||
}
|
||||
if (mo->split_prefix && (mo->flag & (MM_F_OUT_CS|MM_F_OUT_MD))) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m --cs or --MD doesn't work with --split-prefix\033[0m\n");
|
||||
return -6;
|
||||
}
|
||||
if (io->k <= 0 || io->w <= 0) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m -k and -w must be positive\033[0m\n");
|
||||
return -5;
|
||||
}
|
||||
if (mo->best_n < 0) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m -N must be no less than 0\033[0m\n");
|
||||
return -4;
|
||||
}
|
||||
if (mo->best_n == 0 && mm_verbose >= 2)
|
||||
fprintf(stderr, "[WARNING]\033[1;31m '-N 0' reduces mapping accuracy. Please use '--secondary=no' instead.\033[0m\n");
|
||||
if (mo->pri_ratio < 0.0f || mo->pri_ratio > 1.0f) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m -p must be within 0 and 1 (including 0 and 1)\033[0m\n");
|
||||
return -4;
|
||||
}
|
||||
if ((mo->flag & MM_F_FOR_ONLY) && (mo->flag & MM_F_REV_ONLY)) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m --for-only and --rev-only can't be applied at the same time\033[0m\n");
|
||||
return -3;
|
||||
}
|
||||
if (mo->e <= 0 || mo->q <= 0) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m -O and -E must be positive\033[0m\n");
|
||||
return -1;
|
||||
}
|
||||
if ((mo->q != mo->q2 || mo->e != mo->e2) && !(mo->e > mo->e2 && mo->q + mo->e < mo->q2 + mo->e2)) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m dual gap penalties violating E1>E2 and O1+E1<O2+E2\033[0m\n");
|
||||
return -2;
|
||||
}
|
||||
if ((mo->q + mo->e) + (mo->q2 + mo->e2) > 127) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m scoring system violating ({-O}+{-E})+({-O2}+{-E2}) <= 127\033[0m\n");
|
||||
return -1;
|
||||
}
|
||||
if (mo->zdrop < mo->zdrop_inv) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m Z-drop should not be less than inversion-Z-drop\033[0m\n");
|
||||
return -5;
|
||||
}
|
||||
if ((mo->flag & MM_F_NO_PRINT_2ND) && (mo->flag & MM_F_ALL_CHAINS)) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m -X/-P and --secondary=no can't be applied at the same time\033[0m\n");
|
||||
return -5;
|
||||
}
|
||||
if ((mo->flag & MM_F_QSTRAND) && ((mo->flag & (MM_F_OUT_SAM|MM_F_SPLICE|MM_F_FRAG_MODE)) || (io->flag & MM_I_HPC))) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m --qstrand doesn't work with -a, -H, --frag or --splice\033[0m\n");
|
||||
return -5;
|
||||
}
|
||||
return 0;
|
||||
}
|
||||
@@ -0,0 +1,177 @@
|
||||
#include <stdlib.h>
|
||||
#include <math.h>
|
||||
#include "mmpriv.h"
|
||||
#include "kvec.h"
|
||||
|
||||
void mm_select_sub_multi(void *km, float pri_ratio, float pri1, float pri2, int max_gap_ref, int min_diff, int best_n, int n_segs, const int *qlens, int *n_, mm_reg1_t *r)
|
||||
{
|
||||
if (pri_ratio > 0.0f && *n_ > 0) {
|
||||
int i, k, n = *n_, n_2nd = 0;
|
||||
int max_dist = n_segs == 2? qlens[0] + qlens[1] + max_gap_ref : 0;
|
||||
for (i = k = 0; i < n; ++i) {
|
||||
int to_keep = 0;
|
||||
if (r[i].parent == i) { // primary
|
||||
to_keep = 1;
|
||||
} else if (r[i].score + min_diff >= r[r[i].parent].score) {
|
||||
to_keep = 1;
|
||||
} else {
|
||||
mm_reg1_t *p = &r[r[i].parent], *q = &r[i];
|
||||
if (p->rev == q->rev && p->rid == q->rid && q->re - p->rs < max_dist && p->re - q->rs < max_dist) { // child and parent are close on the ref
|
||||
if (q->score >= p->score * pri1)
|
||||
to_keep = 1;
|
||||
} else {
|
||||
int is_par_both = (n_segs == 2 && p->qs < qlens[0] && p->qe > qlens[0]);
|
||||
int is_chi_both = (n_segs == 2 && q->qs < qlens[0] && q->qe > qlens[0]);
|
||||
if (is_chi_both || is_chi_both == is_par_both) {
|
||||
if (q->score >= p->score * pri_ratio)
|
||||
to_keep = 1;
|
||||
} else { // the remaining case: is_chi_both == 0 && is_par_both == 1
|
||||
if (q->score >= p->score * pri2)
|
||||
to_keep = 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
if (to_keep && r[i].parent != i) {
|
||||
if (n_2nd++ >= best_n) to_keep = 0; // don't keep if there are too many secondary hits
|
||||
}
|
||||
if (to_keep) r[k++] = r[i];
|
||||
else if (r[i].p) free(r[i].p);
|
||||
}
|
||||
if (k != n) mm_sync_regs(km, k, r); // removing hits requires sync()
|
||||
*n_ = k;
|
||||
}
|
||||
}
|
||||
|
||||
void mm_set_pe_thru(const int *qlens, int *n_regs, mm_reg1_t **regs)
|
||||
{
|
||||
int s, i, n_pri[2], pri[2];
|
||||
n_pri[0] = n_pri[1] = 0;
|
||||
pri[0] = pri[1] = -1;
|
||||
for (s = 0; s < 2; ++s)
|
||||
for (i = 0; i < n_regs[s]; ++i)
|
||||
if (regs[s][i].id == regs[s][i].parent)
|
||||
++n_pri[s], pri[s] = i;
|
||||
if (n_pri[0] == 1 && n_pri[1] == 1) {
|
||||
mm_reg1_t *p = ®s[0][pri[0]];
|
||||
mm_reg1_t *q = ®s[1][pri[1]];
|
||||
if (p->rid == q->rid && p->rev == q->rev && abs(p->rs - q->rs) < 3 && abs(p->re - q->re) < 3
|
||||
&& ((p->qs == 0 && qlens[1] - q->qe == 0) || (q->qs == 0 && qlens[0] - p->qe == 0)))
|
||||
{
|
||||
p->pe_thru = q->pe_thru = 1;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
#include "ksort.h"
|
||||
|
||||
typedef struct {
|
||||
int s, rev;
|
||||
uint64_t key;
|
||||
mm_reg1_t *r;
|
||||
} pair_arr_t;
|
||||
|
||||
#define sort_key_pair(a) ((a).key)
|
||||
KRADIX_SORT_INIT(pair, pair_arr_t, sort_key_pair, 8)
|
||||
|
||||
void mm_pair(void *km, int max_gap_ref, int pe_bonus, int sub_diff, int match_sc, const int *qlens, int *n_regs, mm_reg1_t **regs)
|
||||
{
|
||||
int i, j, s, n, last[2], dp_thres, segs = 0, max_idx[2];
|
||||
int64_t max;
|
||||
pair_arr_t *a;
|
||||
kvec_t(uint64_t) sc = {0,0,0};
|
||||
|
||||
a = (pair_arr_t*)kmalloc(km, (n_regs[0] + n_regs[1]) * sizeof(pair_arr_t));
|
||||
for (s = n = 0, dp_thres = 0; s < 2; ++s) {
|
||||
int max = 0;
|
||||
for (i = 0; i < n_regs[s]; ++i) {
|
||||
a[n].s = s;
|
||||
a[n].r = ®s[s][i];
|
||||
a[n].rev = a[n].r->rev;
|
||||
a[n].key = (uint64_t)a[n].r->rid << 32 | a[n].r->rs<<1 | (s^a[n].rev);
|
||||
max = max > a[n].r->p->dp_max? max : a[n].r->p->dp_max;
|
||||
++n;
|
||||
segs |= 1<<s;
|
||||
}
|
||||
dp_thres += max;
|
||||
}
|
||||
if (segs != 3) {
|
||||
kfree(km, a); // only one end is mapped
|
||||
return;
|
||||
}
|
||||
dp_thres -= pe_bonus;
|
||||
if (dp_thres < 0) dp_thres = 0;
|
||||
radix_sort_pair(a, a + n);
|
||||
|
||||
max = -1;
|
||||
max_idx[0] = max_idx[1] = -1;
|
||||
last[0] = last[1] = -1;
|
||||
kv_resize(uint64_t, km, sc, (size_t)n);
|
||||
for (i = 0; i < n; ++i) {
|
||||
if (a[i].key & 1) { // reverse first read or forward second read
|
||||
mm_reg1_t *q, *r;
|
||||
if (last[a[i].rev] < 0) continue;
|
||||
r = a[i].r;
|
||||
q = a[last[a[i].rev]].r;
|
||||
if (r->rid != q->rid || r->rs - q->re > max_gap_ref) continue;
|
||||
for (j = last[a[i].rev]; j >= 0; --j) {
|
||||
int64_t score;
|
||||
if (a[j].rev != a[i].rev || a[j].s == a[i].s) continue;
|
||||
q = a[j].r;
|
||||
if (r->rid != q->rid || r->rs - q->re > max_gap_ref) break;
|
||||
if (r->p->dp_max + q->p->dp_max < dp_thres) continue;
|
||||
score = (int64_t)(r->p->dp_max + q->p->dp_max) << 32 | (r->hash + q->hash);
|
||||
if (score > max)
|
||||
max = score, max_idx[a[j].s] = j, max_idx[a[i].s] = i;
|
||||
kv_push(uint64_t, km, sc, score);
|
||||
}
|
||||
} else { // forward first read or reverse second read
|
||||
last[a[i].rev] = i;
|
||||
}
|
||||
}
|
||||
if (sc.n > 1)
|
||||
radix_sort_64(sc.a, sc.a + sc.n);
|
||||
|
||||
if (sc.n > 0 && max > 0) { // found at least one pair
|
||||
int n_sub = 0, mapq_pe;
|
||||
mm_reg1_t *r[2];
|
||||
r[0] = a[max_idx[0]].r, r[1] = a[max_idx[1]].r;
|
||||
r[0]->proper_frag = r[1]->proper_frag = 1;
|
||||
for (s = 0; s < 2; ++s) {
|
||||
if (r[s]->id != r[s]->parent) { // then lift to primary and update parent
|
||||
mm_reg1_t *p = ®s[s][r[s]->parent];
|
||||
for (i = 0; i < n_regs[s]; ++i)
|
||||
if (regs[s][i].parent == p->id)
|
||||
regs[s][i].parent = r[s]->id;
|
||||
p->mapq = 0;
|
||||
}
|
||||
if (!r[s]->sam_pri) { // then sync sam_pri
|
||||
for (i = 0; i < n_regs[s]; ++i)
|
||||
regs[s][i].sam_pri = 0;
|
||||
r[s]->sam_pri = 1;
|
||||
}
|
||||
}
|
||||
mapq_pe = r[0]->mapq > r[1]->mapq? r[0]->mapq : r[1]->mapq;
|
||||
for (i = 0; i < (int)sc.n; ++i)
|
||||
if ((sc.a[i]>>32) + sub_diff >= (uint64_t)max>>32)
|
||||
++n_sub;
|
||||
if (sc.n > 1) {
|
||||
int mapq_pe_alt;
|
||||
mapq_pe_alt = (int)(6.02f * ((max>>32) - (sc.a[sc.n - 2]>>32)) / match_sc - 4.343f * logf(n_sub)); // n_sub > 0 because it counts the optimal, too
|
||||
mapq_pe = mapq_pe < mapq_pe_alt? mapq_pe : mapq_pe_alt;
|
||||
}
|
||||
if (r[0]->mapq < mapq_pe) r[0]->mapq = (int)(.2f * r[0]->mapq + .8f * mapq_pe + .499f);
|
||||
if (r[1]->mapq < mapq_pe) r[1]->mapq = (int)(.2f * r[1]->mapq + .8f * mapq_pe + .499f);
|
||||
if (sc.n == 1) {
|
||||
if (r[0]->mapq < 2) r[0]->mapq = 2;
|
||||
if (r[1]->mapq < 2) r[1]->mapq = 2;
|
||||
} else if ((uint64_t)max>>32 > sc.a[sc.n - 2]>>32) {
|
||||
if (r[0]->mapq < 1) r[0]->mapq = 1;
|
||||
if (r[1]->mapq < 1) r[1]->mapq = 1;
|
||||
}
|
||||
}
|
||||
|
||||
kfree(km, a);
|
||||
kfree(km, sc.a);
|
||||
|
||||
mm_set_pe_thru(qlens, n_regs, regs);
|
||||
}
|
||||
@@ -0,0 +1,196 @@
|
||||
==============================
|
||||
Mappy: Minimap2 Python Binding
|
||||
==============================
|
||||
|
||||
Mappy provides a convenient interface to `minimap2
|
||||
<https://github.com/lh3/minimap2>`_, a fast and accurate C program to align
|
||||
genomic and transcribe nucleotide sequences.
|
||||
|
||||
Installation
|
||||
------------
|
||||
|
||||
Mappy depends on `zlib <http://zlib.net>`_. It can be installed with `pip
|
||||
<https://en.wikipedia.org/wiki/Pip_(package_manager)>`_:
|
||||
|
||||
.. code:: shell
|
||||
|
||||
pip install --user mappy
|
||||
|
||||
or from the minimap2 github repo (`Cython <http://cython.org>`_ required):
|
||||
|
||||
.. code:: shell
|
||||
|
||||
git clone https://github.com/lh3/minimap2
|
||||
cd minimap2
|
||||
python setup.py install
|
||||
|
||||
Usage
|
||||
-----
|
||||
|
||||
The following Python script demonstrates the key functionality of mappy:
|
||||
|
||||
.. code:: python
|
||||
|
||||
import mappy as mp
|
||||
a = mp.Aligner("test/MT-human.fa") # load or build index
|
||||
if not a: raise Exception("ERROR: failed to load/build index")
|
||||
s = a.seq("MT_human", 100, 200) # retrieve a subsequence from the index
|
||||
print(mp.revcomp(s)) # reverse complement
|
||||
for name, seq, qual in mp.fastx_read("test/MT-orang.fa"): # read a fasta/q sequence
|
||||
for hit in a.map(seq): # traverse alignments
|
||||
print("{}\t{}\t{}\t{}".format(hit.ctg, hit.r_st, hit.r_en, hit.cigar_str))
|
||||
|
||||
APIs
|
||||
----
|
||||
|
||||
Mappy implements two classes and two global function.
|
||||
|
||||
Class mappy.Aligner
|
||||
~~~~~~~~~~~~~~~~~~~
|
||||
|
||||
.. code:: python
|
||||
|
||||
mappy.Aligner(fn_idx_in=None, preset=None, ...)
|
||||
|
||||
This constructor accepts the following arguments:
|
||||
|
||||
* **fn_idx_in**: index or sequence file name. Minimap2 automatically tests the
|
||||
file type. If a sequence file is provided, minimap2 builds an index. The
|
||||
sequence file can be optionally gzip'd. This option has no effect if **seq**
|
||||
is set.
|
||||
|
||||
* **seq**: a single sequence to index. The sequence name will be set to
|
||||
:code:`N/A`.
|
||||
|
||||
* **preset**: minimap2 preset. Currently, minimap2 supports the following
|
||||
presets: **sr** for single-end short reads; **map-pb** for PacBio
|
||||
read-to-reference mapping; **map-ont** for Oxford Nanopore read mapping;
|
||||
**splice** for long-read spliced alignment; **asm5** for assembly-to-assembly
|
||||
alignment; **asm10** for full genome alignment of closely related species. Note
|
||||
that the Python module does not support all-vs-all read overlapping.
|
||||
|
||||
* **k**: k-mer length, no larger than 28
|
||||
|
||||
* **w**: minimizer window size, no larger than 255
|
||||
|
||||
* **min_cnt**: mininum number of minimizers on a chain
|
||||
|
||||
* **min_chain_score**: minimum chaing score
|
||||
|
||||
* **bw**: chaining and alignment band width
|
||||
|
||||
* **best_n**: max number of alignments to return
|
||||
|
||||
* **n_threads**: number of indexing threads; 3 by default
|
||||
|
||||
* **extra_flags**: additional flags defined in minimap.h
|
||||
|
||||
* **fn_idx_out**: name of file to which the index is written. This parameter
|
||||
has no effect if **seq** is set.
|
||||
|
||||
* **scoring**: scoring system. It is a tuple/list consisting of 4, 6 or 7
|
||||
positive integers. The first 4 elements specify match scoring, mismatch
|
||||
penalty, gap open and gap extension penalty. The 5th and 6th elements, if
|
||||
present, set long-gap open and long-gap extension penalty. The 7th sets a
|
||||
mismatch penalty involving ambiguous bases.
|
||||
|
||||
.. code:: python
|
||||
|
||||
mappy.Aligner.map(seq, seq2=None, cs=False, MD=False)
|
||||
|
||||
This method aligns :code:`seq` against the index. It is a generator, *yielding*
|
||||
a series of :code:`mappy.Alignment` objects. If :code:`seq2` is present, mappy
|
||||
performs paired-end alignment, assuming the two ends are in the FR orientation.
|
||||
Alignments of the two ends can be distinguished by the :code:`read_num` field
|
||||
(see Class mappy.Alignment below). Argument :code:`cs` asks mappy to generate
|
||||
the :code:`cs` tag; :code:`MD` is similar. These two arguments might slightly
|
||||
degrade performance and are not enabled by default.
|
||||
|
||||
.. code:: python
|
||||
|
||||
mappy.Aligner.seq(name, start=0, end=0x7fffffff)
|
||||
|
||||
This method retrieves a (sub)sequence from the index and returns it as a Python
|
||||
string. :code:`None` is returned if :code:`name` is not present in the index or
|
||||
the start/end coordinates are invalid.
|
||||
|
||||
.. code:: python
|
||||
|
||||
mappy.Aligner.seq_names
|
||||
|
||||
This property gives the array of sequence names in the index.
|
||||
|
||||
Class mappy.Alignment
|
||||
~~~~~~~~~~~~~~~~~~~~~
|
||||
|
||||
This class describes an alignment. An object of this class has the following
|
||||
properties:
|
||||
|
||||
* **ctg**: name of the reference sequence the query is mapped to
|
||||
|
||||
* **ctg_len**: total length of the reference sequence
|
||||
|
||||
* **r_st** and **r_en**: start and end positions on the reference
|
||||
|
||||
* **q_st** and **q_en**: start and end positions on the query
|
||||
|
||||
* **strand**: +1 if on the forward strand; -1 if on the reverse strand
|
||||
|
||||
* **mapq**: mapping quality
|
||||
|
||||
* **blen**: length of the alignment, including both alignment matches and gaps
|
||||
but excluding ambiguous bases.
|
||||
|
||||
* **mlen**: length of the matching bases in the alignment, excluding ambiguous
|
||||
base matches.
|
||||
|
||||
* **NM**: number of mismatches, gaps and ambiguous positions in the alignment
|
||||
|
||||
* **trans_strand**: transcript strand. +1 if on the forward strand; -1 if on the
|
||||
reverse strand; 0 if unknown
|
||||
|
||||
* **is_primary**: if the alignment is primary (typically the best and the first
|
||||
to generate)
|
||||
|
||||
* **read_num**: read number that the alignment corresponds to; 1 for the first
|
||||
read and 2 for the second read
|
||||
|
||||
* **cigar_str**: CIGAR string
|
||||
|
||||
* **cigar**: CIGAR returned as an array of shape :code:`(n_cigar,2)`. The two
|
||||
numbers give the length and the operator of each CIGAR operation.
|
||||
|
||||
* **MD**: the :code:`MD` tag as in the SAM format. It is an empty string unless
|
||||
the :code:`MD` argument is applied when calling :code:`mappy.Aligner.map()`.
|
||||
|
||||
* **cs**: the :code:`cs` tag.
|
||||
|
||||
An :code:`Alignment` object can be converted to a string with :code:`str()` in
|
||||
the following format:
|
||||
|
||||
::
|
||||
|
||||
q_st q_en strand ctg ctg_len r_st r_en mlen blen mapq cg:Z:cigar_str
|
||||
|
||||
It is effectively the PAF format without the QueryName and QueryLength columns
|
||||
(the first two columns in PAF).
|
||||
|
||||
Miscellaneous Functions
|
||||
~~~~~~~~~~~~~~~~~~~~~~~
|
||||
|
||||
.. code:: python
|
||||
|
||||
mappy.fastx_read(fn, read_comment=False)
|
||||
|
||||
This generator function opens a FASTA/FASTQ file and *yields* a
|
||||
:code:`(name,seq,qual)` tuple for each sequence entry. The input file may be
|
||||
optionally gzip'd. If :code:`read_comment` is True, this generator yields
|
||||
a :code:`(name,seq,qual,comment)` tuple instead.
|
||||
|
||||
.. code:: python
|
||||
|
||||
mappy.revcomp(seq)
|
||||
|
||||
Return the reverse complement of DNA string :code:`seq`. This function
|
||||
recognizes IUB code and preserves the letter cases. Uracil :code:`U` is
|
||||
complemented to :code:`A`.
|
||||
+152
@@ -0,0 +1,152 @@
|
||||
#ifndef CMAPPY_H
|
||||
#define CMAPPY_H
|
||||
|
||||
#include <stdlib.h>
|
||||
#include <string.h>
|
||||
#include <zlib.h>
|
||||
#include "minimap.h"
|
||||
#include "kseq.h"
|
||||
KSEQ_DECLARE(gzFile)
|
||||
|
||||
typedef struct {
|
||||
const char *ctg;
|
||||
int32_t ctg_start, ctg_end;
|
||||
int32_t qry_start, qry_end;
|
||||
int32_t blen, mlen, NM, ctg_len;
|
||||
uint8_t mapq, is_primary;
|
||||
int8_t strand, trans_strand;
|
||||
int32_t seg_id;
|
||||
int32_t n_cigar32;
|
||||
uint32_t *cigar32;
|
||||
} mm_hitpy_t;
|
||||
|
||||
static inline void mm_reg2hitpy(const mm_idx_t *mi, mm_reg1_t *r, mm_hitpy_t *h)
|
||||
{
|
||||
h->ctg = mi->seq[r->rid].name;
|
||||
h->ctg_len = mi->seq[r->rid].len;
|
||||
h->ctg_start = r->rs, h->ctg_end = r->re;
|
||||
h->qry_start = r->qs, h->qry_end = r->qe;
|
||||
h->strand = r->rev? -1 : 1;
|
||||
h->mapq = r->mapq;
|
||||
h->mlen = r->mlen;
|
||||
h->blen = r->blen;
|
||||
h->NM = r->blen - r->mlen + r->p->n_ambi;
|
||||
h->trans_strand = r->p->trans_strand == 1? 1 : r->p->trans_strand == 2? -1 : 0;
|
||||
h->is_primary = (r->id == r->parent);
|
||||
h->seg_id = r->seg_id;
|
||||
h->n_cigar32 = r->p->n_cigar;
|
||||
h->cigar32 = r->p->cigar;
|
||||
}
|
||||
|
||||
static inline void mm_free_reg1(mm_reg1_t *r)
|
||||
{
|
||||
free(r->p);
|
||||
}
|
||||
|
||||
static inline kseq_t *mm_fastx_open(const char *fn)
|
||||
{
|
||||
gzFile fp;
|
||||
fp = fn && strcmp(fn, "-") != 0? gzopen(fn, "r") : gzdopen(fileno(stdin), "r");
|
||||
return kseq_init(fp);
|
||||
}
|
||||
|
||||
static inline void mm_fastx_close(kseq_t *ks)
|
||||
{
|
||||
gzFile fp;
|
||||
fp = ks->f->f;
|
||||
kseq_destroy(ks);
|
||||
gzclose(fp);
|
||||
}
|
||||
|
||||
static inline int mm_verbose_level(int v)
|
||||
{
|
||||
if (v >= 0) mm_verbose = v;
|
||||
return mm_verbose;
|
||||
}
|
||||
|
||||
static inline void mm_reset_timer(void)
|
||||
{
|
||||
extern double realtime(void);
|
||||
mm_realtime0 = realtime();
|
||||
}
|
||||
|
||||
extern unsigned char seq_comp_table[256];
|
||||
static inline mm_reg1_t *mm_map_aux(const mm_idx_t *mi, const char *seq1, const char *seq2, int *n_regs, mm_tbuf_t *b, const mm_mapopt_t *opt)
|
||||
{
|
||||
mm_reg1_t *r;
|
||||
|
||||
Py_BEGIN_ALLOW_THREADS
|
||||
if (seq2 == 0) {
|
||||
r = mm_map(mi, strlen(seq1), seq1, n_regs, b, opt, NULL);
|
||||
} else {
|
||||
int _n_regs[2];
|
||||
mm_reg1_t *regs[2];
|
||||
char *seq[2];
|
||||
int i, len[2];
|
||||
|
||||
len[0] = strlen(seq1);
|
||||
len[1] = strlen(seq2);
|
||||
seq[0] = (char*)seq1;
|
||||
seq[1] = strdup(seq2);
|
||||
for (i = 0; i < len[1]>>1; ++i) {
|
||||
int t = seq[1][len[1] - i - 1];
|
||||
seq[1][len[1] - i - 1] = seq_comp_table[(uint8_t)seq[1][i]];
|
||||
seq[1][i] = seq_comp_table[t];
|
||||
}
|
||||
if (len[1]&1) seq[1][len[1]>>1] = seq_comp_table[(uint8_t)seq[1][len[1]>>1]];
|
||||
mm_map_frag(mi, 2, len, (const char**)seq, _n_regs, regs, b, opt, NULL);
|
||||
for (i = 0; i < _n_regs[1]; ++i)
|
||||
regs[1][i].rev = !regs[1][i].rev;
|
||||
*n_regs = _n_regs[0] + _n_regs[1];
|
||||
regs[0] = (mm_reg1_t*)realloc(regs[0], sizeof(mm_reg1_t) * (*n_regs));
|
||||
memcpy(®s[0][_n_regs[0]], regs[1], _n_regs[1] * sizeof(mm_reg1_t));
|
||||
free(regs[1]);
|
||||
r = regs[0];
|
||||
}
|
||||
Py_END_ALLOW_THREADS
|
||||
|
||||
return r;
|
||||
}
|
||||
|
||||
static inline char *mappy_revcomp(int len, const uint8_t *seq)
|
||||
{
|
||||
int i;
|
||||
char *rev;
|
||||
rev = (char*)malloc(len + 1);
|
||||
for (i = 0; i < len; ++i)
|
||||
rev[len - i - 1] = seq_comp_table[seq[i]];
|
||||
rev[len] = 0;
|
||||
return rev;
|
||||
}
|
||||
|
||||
static char *mappy_fetch_seq(const mm_idx_t *mi, const char *name, int st, int en, int *len)
|
||||
{
|
||||
int i, rid;
|
||||
char *s;
|
||||
*len = 0;
|
||||
rid = mm_idx_name2id(mi, name);
|
||||
if (rid < 0) return 0;
|
||||
if ((uint32_t)st >= mi->seq[rid].len || st >= en) return 0;
|
||||
if (en < 0 || (uint32_t)en > mi->seq[rid].len)
|
||||
en = mi->seq[rid].len;
|
||||
s = (char*)malloc(en - st + 1);
|
||||
*len = mm_idx_getseq(mi, rid, st, en, (uint8_t*)s);
|
||||
for (i = 0; i < *len; ++i)
|
||||
s[i] = "ACGTN"[(uint8_t)s[i]];
|
||||
s[*len] = 0;
|
||||
return s;
|
||||
}
|
||||
|
||||
static mm_idx_t *mappy_idx_seq(int w, int k, int is_hpc, int bucket_bits, const char *seq, int len)
|
||||
{
|
||||
const char *fake_name = "N/A";
|
||||
char *s;
|
||||
mm_idx_t *mi;
|
||||
s = (char*)calloc(len + 1, 1);
|
||||
memcpy(s, seq, len);
|
||||
mi = mm_idx_str(w, k, is_hpc, bucket_bits, 1, (const char**)&s, (const char**)&fake_name);
|
||||
free(s);
|
||||
return mi;
|
||||
}
|
||||
|
||||
#endif
|
||||
@@ -0,0 +1,151 @@
|
||||
from libc.stdint cimport int8_t, uint8_t, int32_t, int64_t, uint32_t, uint64_t
|
||||
|
||||
cdef extern from "minimap.h":
|
||||
#
|
||||
# Options
|
||||
#
|
||||
ctypedef struct mm_idxopt_t:
|
||||
short k, w, flag, bucket_bits
|
||||
int64_t mini_batch_size
|
||||
uint64_t batch_size
|
||||
|
||||
ctypedef struct mm_mapopt_t:
|
||||
int64_t flag
|
||||
int seed
|
||||
int sdust_thres
|
||||
|
||||
int max_qlen
|
||||
|
||||
int bw, bw_long
|
||||
int max_gap, max_gap_ref
|
||||
int max_frag_len
|
||||
int max_chain_skip, max_chain_iter
|
||||
int min_cnt
|
||||
int min_chain_score
|
||||
float chain_gap_scale
|
||||
int rmq_size_cap, rmq_inner_dist
|
||||
int rmq_rescue_size
|
||||
float rmq_rescue_ratio
|
||||
|
||||
float mask_level
|
||||
int mask_len
|
||||
float pri_ratio
|
||||
int best_n
|
||||
|
||||
float alt_drop
|
||||
|
||||
int a, b, q, e, q2, e2
|
||||
int sc_ambi
|
||||
int noncan
|
||||
int junc_bonus
|
||||
int zdrop, zdrop_inv
|
||||
int end_bonus
|
||||
int min_dp_max
|
||||
int min_ksw_len
|
||||
int anchor_ext_len, anchor_ext_shift
|
||||
float max_clip_ratio
|
||||
|
||||
int rank_min_len
|
||||
float rank_frac
|
||||
|
||||
int pe_ori, pe_bonus
|
||||
|
||||
float mid_occ_frac
|
||||
int32_t min_mid_occ
|
||||
int32_t mid_occ
|
||||
int32_t max_occ
|
||||
int64_t mini_batch_size
|
||||
int64_t max_sw_mat
|
||||
int64_t cap_kalloc
|
||||
|
||||
const char *split_prefix
|
||||
|
||||
int mm_set_opt(char *preset, mm_idxopt_t *io, mm_mapopt_t *mo)
|
||||
int mm_verbose
|
||||
|
||||
#
|
||||
# Indexing
|
||||
#
|
||||
ctypedef struct mm_idx_seq_t:
|
||||
char *name
|
||||
uint64_t offset
|
||||
uint32_t len
|
||||
|
||||
ctypedef struct mm_idx_bucket_t:
|
||||
pass
|
||||
|
||||
ctypedef struct mm_idx_t:
|
||||
int32_t b, w, k, flag
|
||||
uint32_t n_seq
|
||||
mm_idx_seq_t *seq
|
||||
uint32_t *S
|
||||
mm_idx_bucket_t *B
|
||||
void *km
|
||||
void *h
|
||||
|
||||
ctypedef struct mm_idx_reader_t:
|
||||
pass
|
||||
|
||||
mm_idx_reader_t *mm_idx_reader_open(const char *fn, const mm_idxopt_t *opt, const char *fn_out)
|
||||
mm_idx_t *mm_idx_reader_read(mm_idx_reader_t *r, int n_threads)
|
||||
void mm_idx_reader_close(mm_idx_reader_t *r)
|
||||
void mm_idx_destroy(mm_idx_t *mi)
|
||||
void mm_mapopt_update(mm_mapopt_t *opt, const mm_idx_t *mi)
|
||||
|
||||
int mm_idx_index_name(mm_idx_t *mi)
|
||||
|
||||
#
|
||||
# Mapping (key struct defined in cmappy.h below)
|
||||
#
|
||||
ctypedef struct mm_reg1_t:
|
||||
pass
|
||||
|
||||
ctypedef struct mm_tbuf_t:
|
||||
pass
|
||||
|
||||
mm_tbuf_t *mm_tbuf_init()
|
||||
void mm_tbuf_destroy(mm_tbuf_t *b)
|
||||
void *mm_tbuf_get_km(mm_tbuf_t *b)
|
||||
int mm_gen_cs(void *km, char **buf, int *max_len, const mm_idx_t *mi, const mm_reg1_t *r, const char *seq, int no_iden)
|
||||
int mm_gen_MD(void *km, char **buf, int *max_len, const mm_idx_t *mi, const mm_reg1_t *r, const char *seq)
|
||||
|
||||
#
|
||||
# Helper header (because it is hard to expose mm_reg1_t with Cython)
|
||||
#
|
||||
cdef extern from "cmappy.h":
|
||||
ctypedef struct mm_hitpy_t:
|
||||
const char *ctg
|
||||
int32_t ctg_start, ctg_end
|
||||
int32_t qry_start, qry_end
|
||||
int32_t blen, mlen, NM, ctg_len
|
||||
uint8_t mapq, is_primary
|
||||
int8_t strand, trans_strand
|
||||
int32_t seg_id
|
||||
int32_t n_cigar32
|
||||
uint32_t *cigar32
|
||||
|
||||
void mm_reg2hitpy(const mm_idx_t *mi, mm_reg1_t *r, mm_hitpy_t *h)
|
||||
void mm_free_reg1(mm_reg1_t *r)
|
||||
mm_reg1_t *mm_map_aux(const mm_idx_t *mi, const char *seq1, const char *seq2, int *n_regs, mm_tbuf_t *b, const mm_mapopt_t *opt)
|
||||
char *mappy_fetch_seq(const mm_idx_t *mi, const char *name, int st, int en, int *l)
|
||||
mm_idx_t *mappy_idx_seq(int w, int k, int is_hpc, int bucket_bits, const char *seq, int l)
|
||||
|
||||
ctypedef struct kstring_t:
|
||||
unsigned l, m
|
||||
char *s
|
||||
|
||||
ctypedef struct kstream_t:
|
||||
pass
|
||||
|
||||
ctypedef struct kseq_t:
|
||||
kstring_t name, comment, seq, qual
|
||||
int last_char
|
||||
kstream_t *f
|
||||
|
||||
kseq_t *mm_fastx_open(const char *fn)
|
||||
void mm_fastx_close(kseq_t *ks)
|
||||
int kseq_read(kseq_t *seq)
|
||||
|
||||
char *mappy_revcomp(int l, const uint8_t *seq)
|
||||
int mm_verbose_level(int v)
|
||||
void mm_reset_timer()
|
||||
@@ -0,0 +1,273 @@
|
||||
from libc.stdint cimport uint8_t, int8_t
|
||||
from libc.stdlib cimport free
|
||||
cimport cmappy
|
||||
import sys
|
||||
|
||||
__version__ = '2.22'
|
||||
|
||||
cmappy.mm_reset_timer()
|
||||
|
||||
cdef class Alignment:
|
||||
cdef int _ctg_len, _r_st, _r_en
|
||||
cdef int _q_st, _q_en
|
||||
cdef int _NM, _mlen, _blen
|
||||
cdef int8_t _strand, _trans_strand
|
||||
cdef uint8_t _mapq, _is_primary
|
||||
cdef int _seg_id
|
||||
cdef _ctg, _cigar, _cs, _MD # these are python objects
|
||||
|
||||
def __cinit__(self, ctg, cl, cs, ce, strand, qs, qe, mapq, cigar, is_primary, mlen, blen, NM, trans_strand, seg_id, cs_str, MD_str):
|
||||
self._ctg = ctg if isinstance(ctg, str) else ctg.decode()
|
||||
self._ctg_len, self._r_st, self._r_en = cl, cs, ce
|
||||
self._strand, self._q_st, self._q_en = strand, qs, qe
|
||||
self._NM, self._mlen, self._blen = NM, mlen, blen
|
||||
self._mapq = mapq
|
||||
self._cigar = cigar
|
||||
self._is_primary = is_primary
|
||||
self._trans_strand = trans_strand
|
||||
self._seg_id = seg_id
|
||||
self._cs = cs_str
|
||||
self._MD = MD_str
|
||||
|
||||
@property
|
||||
def ctg(self): return self._ctg
|
||||
|
||||
@property
|
||||
def ctg_len(self): return self._ctg_len
|
||||
|
||||
@property
|
||||
def r_st(self): return self._r_st
|
||||
|
||||
@property
|
||||
def r_en(self): return self._r_en
|
||||
|
||||
@property
|
||||
def strand(self): return self._strand
|
||||
|
||||
@property
|
||||
def trans_strand(self): return self._trans_strand
|
||||
|
||||
@property
|
||||
def blen(self): return self._blen
|
||||
|
||||
@property
|
||||
def mlen(self): return self._mlen
|
||||
|
||||
@property
|
||||
def NM(self): return self._NM
|
||||
|
||||
@property
|
||||
def is_primary(self): return (self._is_primary != 0)
|
||||
|
||||
@property
|
||||
def q_st(self): return self._q_st
|
||||
|
||||
@property
|
||||
def q_en(self): return self._q_en
|
||||
|
||||
@property
|
||||
def mapq(self): return self._mapq
|
||||
|
||||
@property
|
||||
def cigar(self): return self._cigar
|
||||
|
||||
@property
|
||||
def read_num(self): return self._seg_id + 1
|
||||
|
||||
@property
|
||||
def cs(self): return self._cs
|
||||
|
||||
@property
|
||||
def MD(self): return self._MD
|
||||
|
||||
@property
|
||||
def cigar_str(self):
|
||||
return "".join(map(lambda x: str(x[0]) + 'MIDNSHP=XB'[x[1]], self._cigar))
|
||||
|
||||
def __str__(self):
|
||||
if self._strand > 0: strand = '+'
|
||||
elif self._strand < 0: strand = '-'
|
||||
else: strand = '?'
|
||||
if self._is_primary != 0: tp = 'tp:A:P'
|
||||
else: tp = 'tp:A:S'
|
||||
if self._trans_strand > 0: ts = 'ts:A:+'
|
||||
elif self._trans_strand < 0: ts = 'ts:A:-'
|
||||
else: ts = 'ts:A:.'
|
||||
a = [str(self._q_st), str(self._q_en), strand, self._ctg, str(self._ctg_len), str(self._r_st), str(self._r_en),
|
||||
str(self._mlen), str(self._blen), str(self._mapq), tp, ts, "cg:Z:" + self.cigar_str]
|
||||
if self._cs != "": a.append("cs:Z:" + self._cs)
|
||||
return "\t".join(a)
|
||||
|
||||
cdef class ThreadBuffer:
|
||||
cdef cmappy.mm_tbuf_t *_b
|
||||
|
||||
def __cinit__(self):
|
||||
self._b = cmappy.mm_tbuf_init()
|
||||
|
||||
def __dealloc__(self):
|
||||
cmappy.mm_tbuf_destroy(self._b)
|
||||
|
||||
cdef class Aligner:
|
||||
cdef cmappy.mm_idx_t *_idx
|
||||
cdef cmappy.mm_idxopt_t idx_opt
|
||||
cdef cmappy.mm_mapopt_t map_opt
|
||||
|
||||
def __cinit__(self, fn_idx_in=None, preset=None, k=None, w=None, min_cnt=None, min_chain_score=None, min_dp_score=None, bw=None, best_n=None, n_threads=3, fn_idx_out=None, max_frag_len=None, extra_flags=None, seq=None, scoring=None):
|
||||
self._idx = NULL
|
||||
cmappy.mm_set_opt(NULL, &self.idx_opt, &self.map_opt) # set the default options
|
||||
if preset is not None:
|
||||
cmappy.mm_set_opt(str.encode(preset), &self.idx_opt, &self.map_opt) # apply preset
|
||||
self.map_opt.flag |= 4 # always perform alignment
|
||||
self.idx_opt.batch_size = 0x7fffffffffffffffL # always build a uni-part index
|
||||
if k is not None: self.idx_opt.k = k
|
||||
if w is not None: self.idx_opt.w = w
|
||||
if min_cnt is not None: self.map_opt.min_cnt = min_cnt
|
||||
if min_chain_score is not None: self.map_opt.min_chain_score = min_chain_score
|
||||
if min_dp_score is not None: self.map_opt.min_dp_max = min_dp_score
|
||||
if bw is not None: self.map_opt.bw = bw
|
||||
if best_n is not None: self.map_opt.best_n = best_n
|
||||
if max_frag_len is not None: self.map_opt.max_frag_len = max_frag_len
|
||||
if extra_flags is not None: self.map_opt.flag |= extra_flags
|
||||
if scoring is not None and len(scoring) >= 4:
|
||||
self.map_opt.a, self.map_opt.b = scoring[0], scoring[1]
|
||||
self.map_opt.q, self.map_opt.e = scoring[2], scoring[3]
|
||||
self.map_opt.q2, self.map_opt.e2 = self.map_opt.q, self.map_opt.e
|
||||
if len(scoring) >= 6:
|
||||
self.map_opt.q2, self.map_opt.e2 = scoring[4], scoring[5]
|
||||
if len(scoring) >= 7:
|
||||
self.map_opt.sc_ambi = scoring[6]
|
||||
|
||||
cdef cmappy.mm_idx_reader_t *r;
|
||||
|
||||
if seq is None:
|
||||
if fn_idx_out is None:
|
||||
r = cmappy.mm_idx_reader_open(str.encode(fn_idx_in), &self.idx_opt, NULL)
|
||||
else:
|
||||
r = cmappy.mm_idx_reader_open(str.encode(fn_idx_in), &self.idx_opt, str.encode(fn_idx_out))
|
||||
if r is not NULL:
|
||||
self._idx = cmappy.mm_idx_reader_read(r, n_threads) # NB: ONLY read the first part
|
||||
cmappy.mm_idx_reader_close(r)
|
||||
cmappy.mm_mapopt_update(&self.map_opt, self._idx)
|
||||
cmappy.mm_idx_index_name(self._idx)
|
||||
else:
|
||||
self._idx = cmappy.mappy_idx_seq(self.idx_opt.w, self.idx_opt.k, self.idx_opt.flag&1, self.idx_opt.bucket_bits, str.encode(seq), len(seq))
|
||||
cmappy.mm_mapopt_update(&self.map_opt, self._idx)
|
||||
self.map_opt.mid_occ = 1000 # don't filter high-occ seeds
|
||||
|
||||
def __dealloc__(self):
|
||||
if self._idx is not NULL:
|
||||
cmappy.mm_idx_destroy(self._idx)
|
||||
|
||||
def __bool__(self):
|
||||
return (self._idx != NULL)
|
||||
|
||||
def map(self, seq, seq2=None, buf=None, cs=False, MD=False, max_frag_len=None, extra_flags=None):
|
||||
cdef cmappy.mm_reg1_t *regs
|
||||
cdef cmappy.mm_hitpy_t h
|
||||
cdef ThreadBuffer b
|
||||
cdef int n_regs
|
||||
cdef char *cs_str = NULL
|
||||
cdef int l_cs_str, m_cs_str = 0
|
||||
cdef void *km
|
||||
cdef cmappy.mm_mapopt_t map_opt
|
||||
|
||||
if self._idx == NULL: return
|
||||
map_opt = self.map_opt
|
||||
if max_frag_len is not None: map_opt.max_frag_len = max_frag_len
|
||||
if extra_flags is not None: map_opt.flag |= extra_flags
|
||||
|
||||
if self._idx is NULL: return None
|
||||
if buf is None: b = ThreadBuffer()
|
||||
else: b = buf
|
||||
km = cmappy.mm_tbuf_get_km(b._b)
|
||||
|
||||
_seq = seq if isinstance(seq, bytes) else seq.encode()
|
||||
if seq2 is None:
|
||||
regs = cmappy.mm_map_aux(self._idx, _seq, NULL, &n_regs, b._b, &map_opt)
|
||||
else:
|
||||
_seq2 = seq2 if isinstance(seq2, bytes) else seq2.encode()
|
||||
regs = cmappy.mm_map_aux(self._idx, _seq, _seq2, &n_regs, b._b, &map_opt)
|
||||
|
||||
try:
|
||||
i = 0
|
||||
while i < n_regs:
|
||||
cmappy.mm_reg2hitpy(self._idx, ®s[i], &h)
|
||||
cigar, _cs, _MD = [], '', ''
|
||||
for k in range(h.n_cigar32): # convert the 32-bit CIGAR encoding to Python array
|
||||
c = h.cigar32[k]
|
||||
cigar.append([c>>4, c&0xf])
|
||||
if cs or MD: # generate the cs and/or the MD tag, if requested
|
||||
if cs:
|
||||
l_cs_str = cmappy.mm_gen_cs(km, &cs_str, &m_cs_str, self._idx, ®s[i], _seq, 1)
|
||||
_cs = cs_str[:l_cs_str] if isinstance(cs_str, str) else cs_str[:l_cs_str].decode()
|
||||
if MD:
|
||||
l_cs_str = cmappy.mm_gen_MD(km, &cs_str, &m_cs_str, self._idx, ®s[i], _seq)
|
||||
_MD = cs_str[:l_cs_str] if isinstance(cs_str, str) else cs_str[:l_cs_str].decode()
|
||||
yield Alignment(h.ctg, h.ctg_len, h.ctg_start, h.ctg_end, h.strand, h.qry_start, h.qry_end, h.mapq, cigar, h.is_primary, h.mlen, h.blen, h.NM, h.trans_strand, h.seg_id, _cs, _MD)
|
||||
cmappy.mm_free_reg1(®s[i])
|
||||
i += 1
|
||||
finally:
|
||||
while i < n_regs:
|
||||
cmappy.mm_free_reg1(®s[i])
|
||||
i += 1
|
||||
free(regs)
|
||||
free(cs_str)
|
||||
|
||||
def seq(self, str name, int start=0, int end=0x7fffffff):
|
||||
cdef int l
|
||||
cdef char *s
|
||||
if self._idx == NULL: return
|
||||
s = cmappy.mappy_fetch_seq(self._idx, name.encode(), start, end, &l)
|
||||
if l == 0: return None
|
||||
r = s[:l] if isinstance(s, str) else s[:l].decode()
|
||||
free(s)
|
||||
return r
|
||||
|
||||
@property
|
||||
def k(self): return self._idx.k
|
||||
|
||||
@property
|
||||
def w(self): return self._idx.w
|
||||
|
||||
@property
|
||||
def n_seq(self): return self._idx.n_seq
|
||||
|
||||
@property
|
||||
def seq_names(self):
|
||||
cdef char *p
|
||||
if self._idx == NULL: return
|
||||
sn = []
|
||||
for i in range(self._idx.n_seq):
|
||||
p = self._idx.seq[i].name
|
||||
s = p if isinstance(p, str) else p.decode()
|
||||
sn.append(s)
|
||||
return sn
|
||||
|
||||
def fastx_read(fn, read_comment=False):
|
||||
cdef cmappy.kseq_t *ks
|
||||
ks = cmappy.mm_fastx_open(str.encode(fn))
|
||||
if ks is NULL: return None
|
||||
while cmappy.kseq_read(ks) >= 0:
|
||||
if ks.qual.l > 0: qual = ks.qual.s if isinstance(ks.qual.s, str) else ks.qual.s.decode()
|
||||
else: qual = None
|
||||
name = ks.name.s if isinstance(ks.name.s, str) else ks.name.s.decode()
|
||||
seq = ks.seq.s if isinstance(ks.seq.s, str) else ks.seq.s.decode()
|
||||
if read_comment:
|
||||
if ks.comment.l > 0: comment = ks.comment.s if isinstance(ks.comment.s, str) else ks.comment.s.decode()
|
||||
else: comment = None
|
||||
yield name, seq, qual, comment
|
||||
else:
|
||||
yield name, seq, qual
|
||||
cmappy.mm_fastx_close(ks)
|
||||
|
||||
def revcomp(seq):
|
||||
l = len(seq)
|
||||
bseq = seq if isinstance(seq, bytes) else seq.encode()
|
||||
cdef char *s = cmappy.mappy_revcomp(l, bseq)
|
||||
r = s[:l] if isinstance(s, str) else s[:l].decode()
|
||||
free(s)
|
||||
return r
|
||||
|
||||
def verbose(v=None):
|
||||
if v is None: v = -1
|
||||
return cmappy.mm_verbose_level(v)
|
||||
Executable
+39
@@ -0,0 +1,39 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
import sys
|
||||
import getopt
|
||||
import mappy as mp
|
||||
|
||||
def main(argv):
|
||||
opts, args = getopt.getopt(argv[1:], "x:n:m:k:w:r:c")
|
||||
if len(args) < 2:
|
||||
print("Usage: minimap2.py [options] <ref.fa>|<ref.mmi> <query.fq>")
|
||||
print("Options:")
|
||||
print(" -x STR preset: sr, map-pb, map-ont, asm5, asm10 or splice")
|
||||
print(" -n INT mininum number of minimizers")
|
||||
print(" -m INT mininum chaining score")
|
||||
print(" -k INT k-mer length")
|
||||
print(" -w INT minimizer window length")
|
||||
print(" -r INT band width")
|
||||
print(" -c output the cs tag")
|
||||
sys.exit(1)
|
||||
|
||||
preset = min_cnt = min_sc = k = w = bw = None
|
||||
out_cs = False
|
||||
for opt, arg in opts:
|
||||
if opt == '-x': preset = arg
|
||||
elif opt == '-n': min_cnt = int(arg)
|
||||
elif opt == '-m': min_chain_score = int(arg)
|
||||
elif opt == '-r': bw = int(arg)
|
||||
elif opt == '-k': k = int(arg)
|
||||
elif opt == '-w': w = int(arg)
|
||||
elif opt == '-c': out_cs = True
|
||||
|
||||
a = mp.Aligner(args[0], preset=preset, min_cnt=min_cnt, min_chain_score=min_sc, k=k, w=w, bw=bw)
|
||||
if not a: raise Exception("ERROR: failed to load/build index file '{}'".format(args[0]))
|
||||
for name, seq, qual in mp.fastx_read(args[1]): # read one sequence
|
||||
for h in a.map(seq, cs=out_cs): # traverse hits
|
||||
print('{}\t{}\t{}'.format(name, len(seq), h))
|
||||
|
||||
if __name__ == "__main__":
|
||||
main(sys.argv)
|
||||
@@ -56,6 +56,7 @@ sdust_buf_t *sdust_buf_init(void *km)
|
||||
buf = (sdust_buf_t*)kcalloc(km, 1, sizeof(sdust_buf_t));
|
||||
buf->km = km;
|
||||
buf->w = kdq_init(int, buf->km);
|
||||
kdq_resize(int, buf->w, 8);
|
||||
return buf;
|
||||
}
|
||||
|
||||
@@ -69,10 +70,10 @@ void sdust_buf_destroy(sdust_buf_t *buf)
|
||||
static inline void shift_window(int t, kdq_t(int) *w, int T, int W, int *L, int *rw, int *rv, int *cw, int *cv)
|
||||
{
|
||||
int s;
|
||||
if (kdq_size(w) >= W - SD_WLEN + 1) { // TODO: is this right for SD_WLEN!=3?
|
||||
if ((int)kdq_size(w) >= W - SD_WLEN + 1) { // TODO: is this right for SD_WLEN!=3?
|
||||
s = *kdq_shift(int, w);
|
||||
*rw -= --cw[s];
|
||||
if (*L > kdq_size(w))
|
||||
if (*L > (int)kdq_size(w))
|
||||
--*L, *rv -= --cv[s];
|
||||
}
|
||||
kdq_push(int, w, t);
|
||||
@@ -113,7 +114,7 @@ static void find_perfect(void *km, perf_intv_v *P, const kdq_t(int) *w, int T, i
|
||||
r += c[t]++;
|
||||
new_r = r, new_l = kdq_size(w) - i - 1;
|
||||
if (new_r * 10 > T * new_l) {
|
||||
for (j = 0; j < P->n && P->a[j].start >= i + start; ++j) { // find insertion position
|
||||
for (j = 0; j < (int)P->n && P->a[j].start >= i + start; ++j) { // find insertion position
|
||||
perf_intv_t *p = &P->a[j];
|
||||
if (max_r == 0 || p->r * max_l > max_r * p->l)
|
||||
max_r = p->r, max_l = p->l;
|
||||
@@ -176,7 +177,7 @@ uint64_t *sdust(void *km, const uint8_t *seq, int l_seq, int T, int W, int *n)
|
||||
#ifdef _SDUST_MAIN
|
||||
#include <zlib.h>
|
||||
#include <stdio.h>
|
||||
#include "getopt.h"
|
||||
#include "ketopt.h"
|
||||
#include "kseq.h"
|
||||
KSEQ_INIT(gzFile, gzread)
|
||||
|
||||
@@ -185,16 +186,17 @@ int main(int argc, char *argv[])
|
||||
gzFile fp;
|
||||
kseq_t *ks;
|
||||
int W = 64, T = 20, c;
|
||||
ketopt_t o = KETOPT_INIT;
|
||||
|
||||
while ((c = getopt(argc, argv, "w:t:")) >= 0) {
|
||||
if (c == 'w') W = atoi(optarg);
|
||||
else if (c == 't') T = atoi(optarg);
|
||||
while ((c = ketopt(&o, argc, argv, 1, "w:t:", 0)) >= 0) {
|
||||
if (c == 'w') W = atoi(o.arg);
|
||||
else if (c == 't') T = atoi(o.arg);
|
||||
}
|
||||
if (optind == argc) {
|
||||
if (o.ind == argc) {
|
||||
fprintf(stderr, "Usage: sdust [-w %d] [-t %d] <in.fa>\n", W, T);
|
||||
return 1;
|
||||
}
|
||||
fp = strcmp(argv[optind], "-")? gzopen(argv[optind], "r") : gzdopen(fileno(stdin), "r");
|
||||
fp = strcmp(argv[o.ind], "-")? gzopen(argv[o.ind], "r") : gzdopen(fileno(stdin), "r");
|
||||
ks = kseq_init(fp);
|
||||
while (kseq_read(ks) >= 0) {
|
||||
uint64_t *r;
|
||||
|
||||
@@ -0,0 +1,151 @@
|
||||
#include "mmpriv.h"
|
||||
#include "kalloc.h"
|
||||
#include "ksort.h"
|
||||
#include <stdlib.h>
|
||||
#include<algorithm>
|
||||
#include <x86intrin.h>
|
||||
|
||||
#ifdef LISA_HASH
|
||||
#include "lisa_hash.h"
|
||||
extern lisa_hash<uint64_t, uint64_t> *lh;
|
||||
#endif
|
||||
extern uint64_t minimizer_lookup_time;
|
||||
|
||||
mm_seed_t *mm_seed_collect_all(void *km, const mm_idx_t *mi, const mm128_v *mv, int32_t *n_m_)
|
||||
{
|
||||
//#ifdef MANUAL_PROFILING
|
||||
// uint64_t lookup_start = __rdtsc();
|
||||
//#endif
|
||||
|
||||
#ifdef LISA_HASH
|
||||
//-----------------------------------
|
||||
uint64_t** cr_batch = (uint64_t**) malloc((mv->n)*sizeof(uint64_t*));
|
||||
int* t_batch = (int*)malloc((mv->n)*sizeof(int));
|
||||
uint64_t* minimizers = (uint64_t*) malloc((mv->n)*sizeof(uint64_t));
|
||||
int64_t* lisa_pos = (int64_t*) malloc((max(32, (int)mv->n))* sizeof(int64_t));
|
||||
|
||||
for (size_t i = 0; i < mv->n; i++) {
|
||||
mm128_t *p = &mv->a[i];
|
||||
minimizers[i] = p->x>>8;
|
||||
}
|
||||
|
||||
lh->mm_idx_get_batched(minimizers, mv->n, lisa_pos, cr_batch, t_batch);
|
||||
//-----------------------------------
|
||||
|
||||
#endif
|
||||
|
||||
|
||||
mm_seed_t *m;
|
||||
size_t i;
|
||||
int32_t k;
|
||||
m = (mm_seed_t*)kmalloc(km, mv->n * sizeof(mm_seed_t));
|
||||
for (i = k = 0; i < mv->n; ++i) {
|
||||
const uint64_t *cr;
|
||||
mm_seed_t *q;
|
||||
mm128_t *p = &mv->a[i];
|
||||
uint32_t q_pos = (uint32_t)p->y, q_span = p->x & 0xff;
|
||||
int t;
|
||||
#ifdef LISA_HASH
|
||||
t = t_batch[i];
|
||||
cr = cr_batch[i];
|
||||
#else
|
||||
cr = mm_idx_get(mi, p->x>>8, &t);
|
||||
#endif
|
||||
if (t == 0) continue;
|
||||
q = &m[k++];
|
||||
q->q_pos = q_pos, q->q_span = q_span, q->cr = cr, q->n = t, q->seg_id = p->y >> 32;
|
||||
q->is_tandem = q->flt = 0;
|
||||
if (i > 0 && p->x>>8 == mv->a[i - 1].x>>8) q->is_tandem = 1;
|
||||
if (i < mv->n - 1 && p->x>>8 == mv->a[i + 1].x>>8) q->is_tandem = 1;
|
||||
}
|
||||
#ifdef LISA_HASH
|
||||
free(cr_batch);
|
||||
free(t_batch);
|
||||
free(minimizers);
|
||||
free(lisa_pos);
|
||||
#endif
|
||||
*n_m_ = k;
|
||||
//#ifdef MANUAL_PROFILING
|
||||
// minimizer_lookup_time += __rdtsc() - lookup_start;
|
||||
//#endif
|
||||
return m;
|
||||
}
|
||||
|
||||
#define MAX_MAX_HIGH_OCC 128
|
||||
|
||||
void mm_seed_select(int32_t n, mm_seed_t *a, int len, int max_occ, int max_max_occ, int dist)
|
||||
{ // for high-occ minimizers, choose up to max_high_occ in each high-occ streak
|
||||
extern void ks_heapdown_uint64_t(size_t i, size_t n, uint64_t*);
|
||||
extern void ks_heapmake_uint64_t(size_t n, uint64_t*);
|
||||
int32_t i, last0, m;
|
||||
uint64_t b[MAX_MAX_HIGH_OCC]; // this is to avoid a heap allocation
|
||||
|
||||
if (n == 0 || n == 1) return;
|
||||
for (i = m = 0; i < n; ++i)
|
||||
if (a[i].n > max_occ) ++m;
|
||||
if (m == 0) return; // no high-frequency k-mers; do nothing
|
||||
for (i = 0, last0 = -1; i <= n; ++i) {
|
||||
if (i == n || a[i].n <= max_occ) {
|
||||
if (i - last0 > 1) {
|
||||
int32_t ps = last0 < 0? 0 : (uint32_t)a[last0].q_pos>>1;
|
||||
int32_t pe = i == n? len : (uint32_t)a[i].q_pos>>1;
|
||||
int32_t j, k, st = last0 + 1, en = i;
|
||||
int32_t max_high_occ = (int32_t)((double)(pe - ps) / dist + .499);
|
||||
if (max_high_occ > 0) {
|
||||
if (max_high_occ > MAX_MAX_HIGH_OCC)
|
||||
max_high_occ = MAX_MAX_HIGH_OCC;
|
||||
for (j = st, k = 0; j < en && k < max_high_occ; ++j, ++k)
|
||||
b[k] = (uint64_t)a[j].n<<32 | j;
|
||||
ks_heapmake_uint64_t(k, b); // initialize the binomial heap
|
||||
for (; j < en; ++j) { // if there are more, choose top max_high_occ
|
||||
if (a[j].n < (int32_t)(b[0]>>32)) { // then update the heap
|
||||
b[0] = (uint64_t)a[j].n<<32 | j;
|
||||
ks_heapdown_uint64_t(0, k, b);
|
||||
}
|
||||
}
|
||||
for (j = 0; j < k; ++j) a[(uint32_t)b[j]].flt = 1;
|
||||
}
|
||||
for (j = st; j < en; ++j) a[j].flt ^= 1;
|
||||
for (j = st; j < en; ++j)
|
||||
if (a[j].n > max_max_occ)
|
||||
a[j].flt = 1;
|
||||
}
|
||||
last0 = i;
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
mm_seed_t *mm_collect_matches(void *km, int *_n_m, int qlen, int max_occ, int max_max_occ, int dist, const mm_idx_t *mi, const mm128_v *mv, int64_t *n_a, int *rep_len, int *n_mini_pos, uint64_t **mini_pos)
|
||||
{
|
||||
int rep_st = 0, rep_en = 0, n_m, n_m0;
|
||||
size_t i;
|
||||
mm_seed_t *m;
|
||||
*n_mini_pos = 0;
|
||||
*mini_pos = (uint64_t*)kmalloc(km, mv->n * sizeof(uint64_t));
|
||||
m = mm_seed_collect_all(km, mi, mv, &n_m0);
|
||||
if (dist > 0 && max_max_occ > max_occ) {
|
||||
mm_seed_select(n_m0, m, qlen, max_occ, max_max_occ, dist);
|
||||
} else {
|
||||
for (i = 0; i < n_m0; ++i)
|
||||
if (m[i].n > max_occ)
|
||||
m[i].flt = 1;
|
||||
}
|
||||
for (i = 0, n_m = 0, *rep_len = 0, *n_a = 0; i < n_m0; ++i) {
|
||||
mm_seed_t *q = &m[i];
|
||||
//fprintf(stderr, "X\t%d\t%d\t%d\n", q->q_pos>>1, q->n, q->flt);
|
||||
if (q->flt) {
|
||||
int en = (q->q_pos >> 1) + 1, st = en - q->q_span;
|
||||
if (st > rep_en) {
|
||||
*rep_len += rep_en - rep_st;
|
||||
rep_st = st, rep_en = en;
|
||||
} else rep_en = en;
|
||||
} else {
|
||||
*n_a += q->n;
|
||||
(*mini_pos)[(*n_mini_pos)++] = (uint64_t)q->q_span<<32 | q->q_pos>>1;
|
||||
m[n_m++] = *q;
|
||||
}
|
||||
}
|
||||
*rep_len += rep_en - rep_st;
|
||||
*_n_m = n_m;
|
||||
return m;
|
||||
}
|
||||
@@ -0,0 +1,55 @@
|
||||
try:
|
||||
from setuptools import setup, Extension
|
||||
except ImportError:
|
||||
from distutils.core import setup
|
||||
from distutils.extension import Extension
|
||||
|
||||
import sys, platform
|
||||
|
||||
sys.path.append('python')
|
||||
|
||||
extra_compile_args = ['-DHAVE_KALLOC']
|
||||
include_dirs = ["."]
|
||||
|
||||
if platform.machine() in ["aarch64", "arm64"]:
|
||||
include_dirs.append("sse2neon/")
|
||||
extra_compile_args.extend(['-ftree-vectorize', '-DKSW_SSE2_ONLY', '-D__SSE2__'])
|
||||
else:
|
||||
extra_compile_args.append('-msse4.1') # WARNING: ancient x86_64 CPUs don't have SSE4
|
||||
|
||||
def readme():
|
||||
with open('python/README.rst') as f:
|
||||
return f.read()
|
||||
|
||||
setup(
|
||||
name = 'mappy',
|
||||
version = '2.22',
|
||||
url = 'https://github.com/lh3/minimap2',
|
||||
description = 'Minimap2 python binding',
|
||||
long_description = readme(),
|
||||
author = 'Heng Li',
|
||||
author_email = 'lh3@me.com',
|
||||
license = 'MIT',
|
||||
keywords = 'sequence-alignment',
|
||||
scripts = ['python/minimap2.py'],
|
||||
ext_modules = [Extension('mappy',
|
||||
sources = ['python/mappy.pyx', 'align.c', 'bseq.c', 'lchain.c', 'seed.c', 'format.c', 'hit.c', 'index.c', 'pe.c', 'options.c',
|
||||
'ksw2_extd2_sse.c', 'ksw2_exts2_sse.c', 'ksw2_extz2_sse.c', 'ksw2_ll_sse.c',
|
||||
'kalloc.c', 'kthread.c', 'map.c', 'misc.c', 'sdust.c', 'sketch.c', 'esterr.c', 'splitidx.c'],
|
||||
depends = ['minimap.h', 'bseq.h', 'kalloc.h', 'kdq.h', 'khash.h', 'kseq.h', 'ksort.h',
|
||||
'ksw2.h', 'kthread.h', 'kvec.h', 'mmpriv.h', 'sdust.h',
|
||||
'python/cmappy.h', 'python/cmappy.pxd'],
|
||||
extra_compile_args = extra_compile_args,
|
||||
include_dirs = include_dirs,
|
||||
libraries = ['z', 'm', 'pthread'])],
|
||||
classifiers = [
|
||||
'Development Status :: 5 - Production/Stable',
|
||||
'License :: OSI Approved :: MIT License',
|
||||
'Operating System :: POSIX',
|
||||
'Programming Language :: C',
|
||||
'Programming Language :: Cython',
|
||||
'Programming Language :: Python :: 2.7',
|
||||
'Programming Language :: Python :: 3',
|
||||
'Intended Audience :: Science/Research',
|
||||
'Topic :: Scientific/Engineering :: Bio-Informatics'],
|
||||
setup_requires=["cython"])
|
||||
@@ -2,25 +2,26 @@
|
||||
#include <stdlib.h>
|
||||
#include <assert.h>
|
||||
#include <string.h>
|
||||
#define __STDC_LIMIT_MACROS
|
||||
#include "kvec.h"
|
||||
#include "minimap.h"
|
||||
#include "mmpriv.h"
|
||||
|
||||
unsigned char seq_nt4_table[256] = {
|
||||
0, 1, 2, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
0, 1, 2, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 0, 4, 1, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 0, 4, 1, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 0, 4, 1, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 0, 4, 1, 4, 4, 4, 2, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,
|
||||
4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4
|
||||
};
|
||||
|
||||
@@ -101,34 +102,34 @@ void mm_sketch(void *km, const char *str, int len, int w, int k, uint32_t rid, i
|
||||
tq_push(&tq, skip_len);
|
||||
kmer_span += skip_len;
|
||||
if (tq.count > k) kmer_span -= tq_shift(&tq);
|
||||
if (kmer_span >= 256) continue; // make sure $kmer_span does not take more than 8 bits
|
||||
} else kmer_span = l + 1 < k? l + 1 : k;
|
||||
kmer[0] = (kmer[0] << 2 | c) & mask; // forward k-mer
|
||||
kmer[1] = (kmer[1] >> 2) | (3ULL^c) << shift1; // reverse k-mer
|
||||
if (kmer[0] == kmer[1]) continue; // skip "symmetric k-mers" as we don't know it strand
|
||||
z = kmer[0] < kmer[1]? 0 : 1; // strand
|
||||
if (++l >= k) {
|
||||
++l;
|
||||
if (l >= k && kmer_span < 256) {
|
||||
info.x = hash64(kmer[z], mask) << 8 | kmer_span;
|
||||
info.y = (uint64_t)rid<<32 | (uint32_t)i<<1 | z;
|
||||
}
|
||||
} else l = 0, tq.count = tq.front = 0, kmer_span = 0;
|
||||
buf[buf_pos] = info; // need to do this here as appropriate buf_pos and buf[buf_pos] are needed below
|
||||
if (l == w + k - 1) { // special case for the first window - because identical k-mers are not stored yet
|
||||
if (l == w + k - 1 && min.x != UINT64_MAX) { // special case for the first window - because identical k-mers are not stored yet
|
||||
for (j = buf_pos + 1; j < w; ++j)
|
||||
if (min.x == buf[j].x && buf[j].y != min.y) kv_push(mm128_t, km, *p, buf[j]);
|
||||
for (j = 0; j < buf_pos; ++j)
|
||||
if (min.x == buf[j].x && buf[j].y != min.y) kv_push(mm128_t, km, *p, buf[j]);
|
||||
}
|
||||
if (info.x <= min.x) { // a new minimum; then write the old min
|
||||
if (l >= w + k) kv_push(mm128_t, km, *p, min);
|
||||
if (l >= w + k && min.x != UINT64_MAX) kv_push(mm128_t, km, *p, min);
|
||||
min = info, min_pos = buf_pos;
|
||||
} else if (buf_pos == min_pos) { // old min has moved outside the window
|
||||
if (l >= w + k - 1) kv_push(mm128_t, km, *p, min);
|
||||
if (l >= w + k - 1 && min.x != UINT64_MAX) kv_push(mm128_t, km, *p, min);
|
||||
for (j = buf_pos + 1, min.x = UINT64_MAX; j < w; ++j) // the two loops are necessary when there are identical k-mers
|
||||
if (min.x >= buf[j].x) min = buf[j], min_pos = j; // >= is important s.t. min is always the closest k-mer
|
||||
for (j = 0; j <= buf_pos; ++j)
|
||||
if (min.x >= buf[j].x) min = buf[j], min_pos = j;
|
||||
if (l >= w + k - 1) { // write identical k-mers
|
||||
if (l >= w + k - 1 && min.x != UINT64_MAX) { // write identical k-mers
|
||||
for (j = buf_pos + 1; j < w; ++j) // these two loops make sure the output is sorted
|
||||
if (min.x == buf[j].x && min.y != buf[j].y) kv_push(mm128_t, km, *p, buf[j]);
|
||||
for (j = 0; j <= buf_pos; ++j)
|
||||
|
||||
+84
@@ -0,0 +1,84 @@
|
||||
#include <string.h>
|
||||
#include <assert.h>
|
||||
#include <stdlib.h>
|
||||
#include <stdio.h>
|
||||
#include <errno.h>
|
||||
#include "mmpriv.h"
|
||||
|
||||
FILE *mm_split_init(const char *prefix, const mm_idx_t *mi)
|
||||
{
|
||||
char *fn;
|
||||
FILE *fp;
|
||||
uint32_t i, k = mi->k;
|
||||
fn = (char*)calloc(strlen(prefix) + 10, 1);
|
||||
sprintf(fn, "%s.%.4d.tmp", prefix, mi->index);
|
||||
if ((fp = fopen(fn, "wb")) == NULL) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "[ERROR]\033[1;31m failed to write to temporary file '%s'\033[0m: %s\n", fn, strerror(errno));
|
||||
exit(1);
|
||||
}
|
||||
mm_err_fwrite(&k, 4, 1, fp);
|
||||
mm_err_fwrite(&mi->n_seq, 4, 1, fp);
|
||||
for (i = 0; i < mi->n_seq; ++i) {
|
||||
uint32_t l;
|
||||
l = strlen(mi->seq[i].name);
|
||||
mm_err_fwrite(&l, 1, 4, fp);
|
||||
mm_err_fwrite(mi->seq[i].name, 1, l, fp);
|
||||
mm_err_fwrite(&mi->seq[i].len, 4, 1, fp);
|
||||
}
|
||||
free(fn);
|
||||
return fp;
|
||||
}
|
||||
|
||||
mm_idx_t *mm_split_merge_prep(const char *prefix, int n_splits, FILE **fp, uint32_t *n_seq_part)
|
||||
{
|
||||
mm_idx_t *mi = 0;
|
||||
char *fn;
|
||||
int i, j;
|
||||
|
||||
if (n_splits < 1) return 0;
|
||||
fn = CALLOC(char, strlen(prefix) + 10);
|
||||
for (i = 0; i < n_splits; ++i) {
|
||||
sprintf(fn, "%s.%.4d.tmp", prefix, i);
|
||||
if ((fp[i] = fopen(fn, "rb")) == 0) {
|
||||
if (mm_verbose >= 1)
|
||||
fprintf(stderr, "ERROR: failed to open temporary file '%s': %s\n", fn, strerror(errno));
|
||||
for (j = 0; j < i; ++j)
|
||||
fclose(fp[j]);
|
||||
free(fn);
|
||||
return 0;
|
||||
}
|
||||
}
|
||||
free(fn);
|
||||
|
||||
mi = CALLOC(mm_idx_t, 1);
|
||||
for (i = 0; i < n_splits; ++i) {
|
||||
mm_err_fread(&mi->k, 4, 1, fp[i]); // TODO: check if k is all the same
|
||||
mm_err_fread(&n_seq_part[i], 4, 1, fp[i]);
|
||||
mi->n_seq += n_seq_part[i];
|
||||
}
|
||||
mi->seq = CALLOC(mm_idx_seq_t, mi->n_seq);
|
||||
for (i = j = 0; i < n_splits; ++i) {
|
||||
uint32_t k;
|
||||
for (k = 0; k < n_seq_part[i]; ++k, ++j) {
|
||||
uint32_t l;
|
||||
mm_err_fread(&l, 1, 4, fp[i]);
|
||||
mi->seq[j].name = (char*)calloc(l + 1, 1);
|
||||
mm_err_fread(mi->seq[j].name, 1, l, fp[i]);
|
||||
mm_err_fread(&mi->seq[j].len, 4, 1, fp[i]);
|
||||
}
|
||||
}
|
||||
return mi;
|
||||
}
|
||||
|
||||
void mm_split_rm_tmp(const char *prefix, int n_splits)
|
||||
{
|
||||
int i;
|
||||
char *fn;
|
||||
fn = CALLOC(char, strlen(prefix) + 10);
|
||||
for (i = 0; i < n_splits; ++i) {
|
||||
sprintf(fn, "%s.%.4d.tmp", prefix, i);
|
||||
remove(fn);
|
||||
}
|
||||
free(fn);
|
||||
}
|
||||
File diff suppressed because it is too large
Load Diff
+1
-1
@@ -1,4 +1,4 @@
|
||||
>MT_orang
|
||||
>MT_orang co:Z:comment
|
||||
GTTTATGTAGCTTATTCTATCCAAAGCAATGCACTGAAAATGTCTCGACGGGCCCACACG
|
||||
CCCCATAAACAAATAGGTTTGGTCCTAGCCTTTCTATTAGCTCTTAGTGAGGTTACACAT
|
||||
GCAAGCATCCCCGCCCCAGTGAGTCGCCCTCCAAGTCACTCTGACTAAGAGGAGCAAGCA
|
||||
|
||||
File diff suppressed because one or more lines are too long
+127
@@ -0,0 +1,127 @@
|
||||
>ref
|
||||
TGCGGAGGCTGAAGCAACTCCATCTTGGAAGCTAATCTACCATGTTGGCTTCTGATTAAC
|
||||
ATCAGTTCTGGGAAGGCTTGTAAGATTTCCTGTTTGTCTATTATTTCCTAGGTAAGAGCA
|
||||
GATACTTACTGTAAATCCTGCCCCTAGATTAAACAACCTTGGTGTTATCGTACTTCCATT
|
||||
GTCCTATACATCCCTTCGGAATCCCCCTTTCCCTATGGTCCTCAAGCCCTTGGTCTGGGG
|
||||
AGTAACAGCATAGGGATCAACCATCTCGTCTTGCCACTGCCCGAAATACAGACATGGCTT
|
||||
CTGTTCCTAAGTCCCTATTCAACTTTTCTTTCTAAGAAACTGGATTTGTCAGCCTCTTTC
|
||||
TTCACCTCTCAGCTTCCTTGGACTTTGGGGGTAGGTTTGCGTAGACATGCTCACCACAGA
|
||||
CACAATATCAGCTTCATTCTACAGATGAGGAAGGCAAGCCTTGGGGAGCTTAACCAACTT
|
||||
GTCGAGACTCATGTATATACCAACACTGAAAAGCAGATATTCCAGACTCCCAGTCATGCC
|
||||
ACAGGCACACCCCTCAGTGAGAGGTGGGGTTTGTAGTTGAGGCTATTTCCTGCCCAGGGA
|
||||
GCAGGGAGGCACTCTAGCTTCCCTGAGCTAACGTGGTTCTGCTTGTGTCTGACTTCCAGG
|
||||
TCTCTGCCCTTTCCAAGCTCACTAGGATGGGCTTCGGGTGTGTCAAATGCCTCAGACAGT
|
||||
ACAGATCCACACAGAATGGGCATATGCAACCAATCAGTGTCATAAAAAAGAAGGAAATGA
|
||||
CTCGGGCCCCCTGTGTGTTCAACATGTCGAAGGTATCTGTGCAGCAGAAGAAAGAGGGGC
|
||||
AAAAGCCCCCAGTGCCACAGGCCAGAGGCAGCAGCTTGGGCCCATGTGGGAGGGTTTGCT
|
||||
TTCCCCTGCCAAAGTGATGGGCTGCTGCAGCCTGGGGCTTGTGGGAATCCTTCCTGGGCC
|
||||
TGTGTGGGAAGTGTAGGCAGGGAGAGTGCTGCTTTCCCAAGCTCATCCCAGCTACAGCTA
|
||||
CCTTTGTGCTCTGGGATTCAGGACCCCCGAGGGGGCTGGCAGGAGAGTCTCTGTTCTCGG
|
||||
ATGGGTTGTCACCAGGGCATACATGGGAAGTGGGCTCTCTGGAGTCACCCTCCAGGGGAC
|
||||
AATGCCAATTCCAGACACATTTACTGGAACCCCTACACTGATGACCTTTTGTTGAGGGTT
|
||||
GAATTATGTCCCCAAAAAAGATACATTGAAGTCCAAACCTCTGGTGTCTATAAATGTGAT
|
||||
TTTATTTGAAAATGAGGTTTCTATGGACTAAATTGTGTCCCTCCCAAATTCATATTTTGA
|
||||
AGCCCTAGCCCCCAGTGTGACTATACCTAGAGACAGAGATCTTTAGGAGGTAATTAAGGT
|
||||
TCAATGAGGTCAGGTGGGTGGGGCCCTAAACCAACAGGAAGGACTGTGGCCTTACTAGAA
|
||||
AAGGAAGAAAAAGCATTTCCTCTCTTCTAGTATAAAAGGACACAGAAAGAAGGCAGATAT
|
||||
CTACAAGCCACGAAGAGAGACGTCACTGAGAACTGAATTTGTGTACATTGATCTGGAACT
|
||||
TCCAGCCTCCAGAACTTGAGAAATACATTTCTGTTGTTTATTTTTTTTTCATGTAATCAA
|
||||
TTCATTTATCATATATTTATTGAGTGCCTACTATGTGCCAGAGGATACAGCAGTAACAAA
|
||||
ACTAGGCAAAAATTGTGCCTAAAAGAGGGAAGATGACTTTTCTTAAAGTGTGGAATAAAG
|
||||
AAAAGTAAGATAGCGGATAGAAGCTTGAAGTGAAAGCAGGTTCACAGGAAGTTTCTTTGG
|
||||
TCATTTGTTTTGTTTTTAAATAGTGGAAAGATGTATATGTTTATGGAGAAAGATTGCCTT
|
||||
GAAGATGCAAGAGGAAGAGATGATCAAAATTCAAGAAGAAGCAGAAAGTGATAGAATAAA
|
||||
GAGCACAAGTGGAGAATTAGTGTTAATGAAAAGAAGGATGCTTCCTTTGATATGAAGTGA
|
||||
AGGAAGAGAGAATGAGTAAAGACCAAGACTTGAAGTCCCTAGTTTAATAGAGGGAGATTT
|
||||
CTTCTTTTGATAGCAACAATGGTATTCTGAATTATTTGAAGACATGTCATATTTCTCTTG
|
||||
TGCCATTTTCCTCCCAGTTTAAACATTCTCATAACCTCTATTCCTCACATGATGTTTTTC
|
||||
CAGGTCCTTTATTCTTTGGCACTCTCTTCTCTGGACACATTGTATTCTGTCATTGGTCCT
|
||||
AAAATTTAGATACCCACAATTGAACATACTCCTCTAGATATGGTCTAGCTAATGCAAAAG
|
||||
AACTGCTGCCTTCCAACTTGTTCAGACATCATATGTTTGTTGTCAAACGCTAAGTTGAGT
|
||||
TGTTATCTTTTAAGTTTTGTTTTTGTTTTTTTTTTTTTTTTTTAATTCCAAGAGGTGCCC
|
||||
ACGTTGGCTAAGTACCAAACAGGGTACTAGGGAATTTTACTTCTGAGTTAAATGCCATTC
|
||||
TAGTTGTTTTTTCTTCATCTCCAGTAAGGTTATCTTTATTCACCAGTTGTTACAATAGCT
|
||||
GTGGGTCTTGCTTCTCACAGTTTTATGCTGTCTGTGCTATTTTCTCTACTGATCATCACC
|
||||
ACAATCATTATTGCTTATCATAATTGTTATCTTTATTTTCTCCTTTAATCAAGAATCAGT
|
||||
CTTCCTTTATCTCATTATTCTCTTTTGCAGGCTTCAGGATAATTATGGTTGGAGTGCACT
|
||||
GGGGGAACCAGTGCAGCTAAGCTCTGACATCTTTGCATCCCTTTTCCATCTGCTGTTTTG
|
||||
GCACTCTGGTAGAATAGATAACCTAAAAACGACTTTAAAACATCTAGAAATTTTGGATAA
|
||||
AATATAACAAACATCCCTTTAAATGCACAACTGATCTTCCATGGAAGTCACAGAAATATA
|
||||
TAACGCCAAAAAGAAGGGAAGCTGAAACCCAGGGCTGTAAACATGAACATCATCTTCTCT
|
||||
CCCTTTTTCTTGTGACTTATCTTGTTTTTCTCAGCTTTGGTGCTACCAAGGCTTGACTTT
|
||||
AATAGGCATTTCCAATCAATGAGAGAATTTCTTTTGCTTTCATCAACAATTCAGTTATTG
|
||||
ATGTTAACATATATATCATTTGAGTACTTTTCTTTTTTTTATTATTATTATACTTTAAGT
|
||||
TTTAGGGTCCATGTGCACAATGTGCAGGTTAGTTACGTATGTATACATGTGCCATGCTGG
|
||||
TGTGCTGCACCCATTAACTCATCATTTAGCATTAGGTATATCTCCTAATGCTATCCCTTC
|
||||
CCCCTCTCCCCACCCCACAACAGTCCCCAGAGTGTTCCCCTTCCTGTGTCCATGTGTTCT
|
||||
CATTGTTCAATCCCCATCTATGAGTGAGAACATGCGGTGTTTGGTTTTTTGTCCTTGCAA
|
||||
TAGTTTACTGAGAATGATGATTTCTAATTTCATCCATGTCCCTAAAGAGCTTCTGCACAG
|
||||
CAAAAGAAACTACCATCAGAGTGAACAGGCAACCTACAAAATGGGAGAAAATTTTCACAA
|
||||
CCTGCTCATCTGACAAAGGGCTAATATCCAGAATCTACAATGAACTCAAACAAATTTACA
|
||||
AGAAAAAAACAAACAACCCCATCAAAAAGTGGGCAAAGGATATGAACAGACACTTCTCAA
|
||||
AAGAAGACATTTATGCAGCCAAAAGACACATGAAAAAATGCTCATCATCACTGGCCATCA
|
||||
GAGAAATGCAAACCAAAACCACAATGAGATACCATCTCACACCAGTTAAAATGGCAATCA
|
||||
TTAAAAAGTCAGGAAACAACAGGTGCTGGAGAGGATGTGGAGAAACAGGAACACTTTTAC
|
||||
ACTGTTGGTGGGACTGTAAACTAGTTCAACCATTGTGGAAGTCAGTGTGCTGATTCCTCA
|
||||
GGGATCTAGAACTAGAAATACCATTTGACCCAGCCATCCCATTACTGGGTATATACCCAA
|
||||
AGGACTATAAATCATGCTGCTATAAAGACACATGCACACGTATGTTTATTGCGGCACTAT
|
||||
TCACAATAGCAAAGACTTGGAACCAACCCAAATGTCCAACAATGATAGACTGGATTAAGA
|
||||
AAATGTGGCACATATACACCACGGAATACTGTGCAGCCATAAAAAATGATGAGTTCATGT
|
||||
CCTTTGTAGGGACACGGATGAAATTGGAAATCATTTCTGTTGTTTAAACCACGAAGTCTA
|
||||
TGGTATCTGGTTATGACAACCTGAGAATACTAACTCAAGGGTCTTTCGCAGATGTCATTA
|
||||
AGTTGTTAAAGTGAGGTCATTATGGTGGGTCCTAATCCAAGAGAAGAGATGCATGGACAG
|
||||
ACGTGCACAACGGGAGGACCAAGCCAAGACACACAGGGAGAATGGCCATGGGAAGATGGA
|
||||
GGCAGAGATCAAAGTGAGGCACCCACAAGCCAAGAAATGGCAGGAGCTACCAGCAGCTGG
|
||||
AAGATGCAGAGAAGCATTCCTTCTTAGAGGTTTCAGAGAGAGTATGGTGCTACTGACACC
|
||||
TTGATTTTGAACTTCTAGTCTCCAGAACTATGAGAGAATAAATTTCTGTTGGTTAAGCCA
|
||||
TCGAGTTTGTGTAAGTTTGTTATAAGAGCCCTAGGAAATAAACATATCCATTTATTCAGG
|
||||
AAAGCCTGCTAGAGTGCAAATATTTGGAAAAGATACTACTATGCAAATGTTTGAAAAAGA
|
||||
TATTGCTCTTGATTCTGCCTTATGGGTTTTTCATTTCTGTAAGCTATTCTCAAAGTTTTG
|
||||
TTCTTGGACTACTATTGGTAATTAAGACTGCAACATGTTTGGCAACATCAGTTGAGAACT
|
||||
GTTGCTCTGGGAACGTTTTCGGCAAGCCTCAGCCCTTCTTTTCCCTTGGCTTGCATTGAG
|
||||
GAGTTAGGTGATACTCTGCTGCTCAGGCCCAGCACCTTTATGGACCGTATTCCCCTGGTG
|
||||
GAATGACCATCTCTGCTTGCTCTGATTGGCTGTTGGGGTTTTCTAGCATGCCCTATTTAA
|
||||
TATGTATGATTTATCTCTTACTTCAGTTGGAAGGTACAGTTGCTCTGTAGTTGGCATGCA
|
||||
GTCATGGTGACTATGAAAATATAAAATAATGTTTTGGTTTACAGACACTTAGAAATAAGT
|
||||
TGTGTCTCAAAATTGGGTGACTATTCTAGTTATCTGCTACTCAATATCCTTGTGCGAGCC
|
||||
CTCTTTACCCAGAATCAAACTAAACCATGAGGGGCACTATAGAATGTCACCCCTGGGTCC
|
||||
AGGATACTATGGGGACTCAGAAGCCAAGCTCCCACTGGGGGATCTAGGGCATGCCCCCAA
|
||||
GGTAAGATTCCCACCTCTTTGTTCAGCAGGAAGCACCCATCACACAAGGAGGTAGGAATA
|
||||
AACAAGCATTCGTCAAGAACAAAAGATACAGATGTTCTGCTGGAGCTTGGATACATAGCA
|
||||
TAAGAGGGAACAGTTCTCACAGGTAAGAGTAAGTTTTCCTCTGGTGGTGACAGTGGGACC
|
||||
TGTGGGGGAGAGAATTGGGAGTACTGACAGGAAGGCAGAGTGGCTGTCCAAATGAACGGA
|
||||
TTGTTTGCACATGGCCTTTAGGGCACGTTGTGTTAGCCTTCCATTGCTGCTTATATTAGT
|
||||
CTGTTTTCACACTGCCCATAAATGCATACCTGAGACTGGATAATTTATAAAGAAAAAGAG
|
||||
CCTTAATGTACTCATAGTTGCATGTGGCTGGGGAGGCCTCACAATCATGGCAGAAGGTGA
|
||||
AAGGCACATCTTACATGGAAGCAGACAAGAGAGAATTGAGGACCAAGTGAAAGGGGTTTC
|
||||
CCCTTATAAAACCATCAGATCACATGAGACTTTTTCACCACCATGAGAACAGTAAGGGGA
|
||||
AAACTATGCTCATGATTCAATTGTCTCCCACTGGATTCCTCCCACAACACATAGGAATTA
|
||||
TGGGAGCTAAAATTCAAGATGAGATTTGGGTGAGGACACAGCCAAACCCTATCACTGCTG
|
||||
TAATCAATTCCCACCAACTTAGTGGCTCGAAACATCACAGATTTATGATCTTATGACGGT
|
||||
GGAGGTCCCCAAATGGATCTTCTAGGTCTAGAATCAAGGTATCAGCAGACCACTTCTTTT
|
||||
GGAGGCTCTGGTGGAGAAACCATTTCCTCGCCTTTTCCAGCTTCTAGAGGCTGCCCTTCT
|
||||
CATTCCTTGGTTCACGGCCACACTCATTTCCATCTCTGCTTCCACTGTGACAACTTCTCT
|
||||
GCCTCAGACCCTCCTGCTTTGCCTTTGTAAGGACCCTTGTGATGAGATCAGGCCCATCCA
|
||||
GGATTATCCCTCATCTCAAGACCTTTACCTTAATCACATTTGCAAGGTCTCTTCCACTGT
|
||||
GTCAGGTAACATTTTCACAGGTTCCAGGGATTAGGGTGTGGACATCTTGGGGAGCTGGAG
|
||||
GATATTATTTCATCTACCACACACATCTCTACCTTGTACAGGCAAGCACTTGCAAAGTGC
|
||||
AATGTGATCCTCTGGAGCCACTGTCCTCCCAGAGCTTATATATACTCTGAAAGTCAACTC
|
||||
TCAGACCACAGCCTCCTGTCCATGCACCACTCTCATCAACACCCCCACCCGAAACACTTT
|
||||
CACTCCACCCTCTTTGTCCCCTAACTCATGGAGAAGAAAATCTAATTAGTAGGAGTGGAA
|
||||
TTTGGCTTTCATCTTTACCAGTACTAGAAATATGGTGTGTGTCTTTTTGTAAAAATTCTC
|
||||
TCAACTAAATTGTTTTTATTAATTTCTGCAAAATGTGAACATCAACTCCCTTCATGTGAA
|
||||
TGTCAATAAGATTAAATGAGCTGTCTCAGCTCCTAGCCTGTGCAAGCTAACAGCTCAGGA
|
||||
GATGTTTATTTCTTTCCCTCTTCTTTCCTTAATGAAGCCCTCTCCTTTGACATCTTCAAT
|
||||
TCTGGAGCGCTTCTTTTCTGAGGCCTTGGCTCCCCCACATTGCCCACCCTTTTCCTGCTC
|
||||
GTCCACATTTCTGGCTTCTATTCTCTTGTCTTTACCATCTCCCTGAACAATGTTATCCGT
|
||||
TCCAATGACTTCAACAGTCTCTCCGCTTACATATGATGCCTCTCAAACTCTGATCTCCAA
|
||||
CTCTTCCAAAGAGCTCTGGACCTTTGTTCCAATTACCTGAAAAACATCTTCTTGGATGTC
|
||||
CCATTAGCACTGTTAAATCAAACAAGAATTTCCCTCCCTCCTGCCTTGCTGTAGTTCCCC
|
||||
TAGGGATTCGGTTGTGTGGGAAGATGTGTGGAGAGCTCTTAGTTGACTCCCTTCTCTGCA
|
||||
GTTCTACCTCTCTAGAGACTTGGAGGACCCACTGTTTCCGCCTCGCTTTTTCAGGCCTAG
|
||||
AGATTGCTCGCTCCTGGGCTGGCTGCTTCATAATTCCTTATTAGTAGTTTCCCAAGCTTA
|
||||
CATATCTGTAAATATTTACTTTAGTTAAATTCTCCCCAATTTCCACAATATGTTGGCTGC
|
||||
ACATGCTTTCTACTAGGAGTCACACAACTATGATAAGAACCAAGAAATATTAGTAAACGT
|
||||
TTTTTACCATTATTGGCCTATACCCTGGAATAGCCAACAATAACCTAGAACCTATGCAAC
|
||||
AAGAATATCCAACAAGAACCTAGAGACCTGTCAGTCTATAGGTGGGAACTACAGGATGAG
|
||||
A
|
||||
@@ -0,0 +1,28 @@
|
||||
Q 42 16872292 669 0.000039651 16872292
|
||||
Q 40 835329 636 0.000073697 17707621
|
||||
Q 31 6544 2 0.000073783 17714165
|
||||
Q 30 8882 6 0.000074084 17723047
|
||||
Q 27 68499 9 0.000074305 17791546
|
||||
Q 26 132041 81 0.000078277 17923587
|
||||
Q 25 129378 96 0.000083033 18052965
|
||||
Q 24 92056 382 0.000103665 18145021
|
||||
Q 23 14341 402 0.000125720 18159362
|
||||
Q 22 132838 146 0.000132789 18292200
|
||||
Q 21 122274 124 0.000138641 18414474
|
||||
Q 18 112183 103 0.000143361 18526657
|
||||
Q 17 126981 213 0.000153804 18653638
|
||||
Q 16 16356 208 0.000164810 18669994
|
||||
Q 15 42804 782 0.000206223 18712798
|
||||
Q 14 16026 318 0.000223025 18728824
|
||||
Q 12 170250 814 0.000264087 18899074
|
||||
Q 11 48351 1409 0.000337777 18947425
|
||||
Q 8 1843 311 0.000354156 18949268
|
||||
Q 7 62266 4435 0.000586276 19011534
|
||||
Q 6 413997 50057 0.003150647 19425531
|
||||
Q 5 404 58 0.003153568 19425935
|
||||
Q 4 704 154 0.003161381 19426639
|
||||
Q 3 1473 681 0.003196193 19428112
|
||||
Q 2 17541 16462 0.004039875 19445653
|
||||
Q 1 534344 354879 0.021693547 19979997
|
||||
Q 0 11939 9917 0.022176642 19991936
|
||||
U 8064
|
||||
@@ -0,0 +1,52 @@
|
||||
Q 60 18784147 3 0.000000160 18784147
|
||||
Q 52 19002 1 0.000000213 18803149
|
||||
Q 50 7152 2 0.000000319 18810301
|
||||
Q 49 6797 1 0.000000372 18817098
|
||||
Q 48 52188 2 0.000000477 18869286
|
||||
Q 47 48775 3 0.000000634 18918061
|
||||
Q 46 19447 2 0.000000739 18937508
|
||||
Q 45 25983 3 0.000000896 18963491
|
||||
Q 44 13455 1 0.000000949 18976946
|
||||
Q 43 14573 2 0.000001053 18991519
|
||||
Q 42 8697 4 0.000001263 19000216
|
||||
Q 41 8645 2 0.000001368 19008861
|
||||
Q 40 176603 75 0.000005264 19185464
|
||||
Q 38 2503 2 0.000005368 19187967
|
||||
Q 37 4117 3 0.000005523 19192084
|
||||
Q 36 2924 16 0.000006356 19195008
|
||||
Q 35 2323 8 0.000006772 19197331
|
||||
Q 34 2344 10 0.000007292 19199675
|
||||
Q 33 4279 6 0.000007603 19203954
|
||||
Q 32 2092 4 0.000007810 19206046
|
||||
Q 31 2625 11 0.000008382 19208671
|
||||
Q 30 2828 13 0.000009057 19211499
|
||||
Q 29 1581 1 0.000009108 19213080
|
||||
Q 28 1543 6 0.000009420 19214623
|
||||
Q 27 70916 223 0.000020948 19285539
|
||||
Q 26 1288 16 0.000021777 19286827
|
||||
Q 25 25551 122 0.000028065 19312378
|
||||
Q 24 14345 84 0.000032390 19326723
|
||||
Q 23 7308 87 0.000036878 19334031
|
||||
Q 22 8358 125 0.000043325 19342389
|
||||
Q 21 4836 71 0.000046983 19347225
|
||||
Q 20 5888 123 0.000053325 19353113
|
||||
Q 19 4656 83 0.000057600 19357769
|
||||
Q 18 3948 87 0.000062081 19361717
|
||||
Q 17 4418 114 0.000067954 19366135
|
||||
Q 16 4226 131 0.000074702 19370361
|
||||
Q 15 5760 164 0.000083144 19376121
|
||||
Q 14 4697 257 0.000096384 19380818
|
||||
Q 13 5246 313 0.000112503 19386064
|
||||
Q 12 4170 241 0.000124908 19390234
|
||||
Q 11 4095 304 0.000140557 19394329
|
||||
Q 10 3857 360 0.000159087 19398186
|
||||
Q 9 5300 438 0.000181617 19403486
|
||||
Q 8 4206 572 0.000211050 19407692
|
||||
Q 7 4676 787 0.000251541 19412368
|
||||
Q 6 3923 688 0.000286924 19416291
|
||||
Q 5 3294 708 0.000323333 19419585
|
||||
Q 4 2936 693 0.000358965 19422521
|
||||
Q 3 3928 816 0.000400897 19426449
|
||||
Q 2 2613 810 0.000442533 19429062
|
||||
Q 1 3515 1188 0.000503587 19432577
|
||||
Q 0 567423 376636 0.019321100 20000000
|
||||
@@ -2,3 +2,9 @@
|
||||
|
||||
bin/mason_variator -ir hs38.fa -s 1 -ov hs38-s1.vcf --snp-rate 1e-3 --small-indel-rate 2e-4 --sv-indel-rate 0 --sv-inversion-rate 0 --sv-translocation-rate 0 --sv-duplication-rate 0 --max-small-indel-size 10
|
||||
bin/mason_simulator -ir hs38.fa -iv hs38-s1.vcf -n 1000000 --seed 1 -o s1_1.fq -or s1_2.fq -oa s1.sam --illumina-prob-mismatch-scale 2.5
|
||||
|
||||
bin/mason_variator -ir hs38.fa -s 2 -ov hs38-s2.vcf --snp-rate 1e-3 --small-indel-rate 2e-4 --sv-indel-rate 0 --sv-inversion-rate 0 --sv-translocation-rate 0 --sv-duplication-rate 0 --max-small-indel-size 10
|
||||
bin/mason_simulator -ir hs38.fa -iv hs38-s2.vcf -n 1000000 --seed 2 -o mason-s2_1.fq -or mason-s2_2.fq -oa mason-s2.sam --illumina-prob-mismatch-scale 2.5 --illumina-read-length 150
|
||||
|
||||
bin/mason_variator -ir hs38.fa -s 3 -ov hs38-s3.vcf --snp-rate 1e-3 --small-indel-rate 2e-4 --sv-indel-rate 0 --sv-inversion-rate 0 --sv-translocation-rate 0 --sv-duplication-rate 0 --max-small-indel-size 10
|
||||
bin/mason_simulator -ir hs38.fa -iv hs38-s3.vcf -n 10000000 --seed 3 -o mason-s3_1.fq -or mason-s3_2.fq -oa mason-s3.sam --illumina-prob-mismatch-scale 2.5 --illumina-read-length 150
|
||||
|
||||
+205
-15
@@ -61,13 +61,6 @@
|
||||
Volume = {32},
|
||||
Year = {2016}}
|
||||
|
||||
@misc{Suzuki:2016,
|
||||
title = {Fast and accurate alignment tool for PacBio and Nanopore long reads},
|
||||
author = {Hajime Suzuki},
|
||||
journal = {Unpublished},
|
||||
howpublished = {\href{https://github.com/ocxtal/minialign}{https://github.com/ocxtal/minialign}},
|
||||
year = {2016}}
|
||||
|
||||
@misc{Ruan:2016,
|
||||
title = {Ultra-fast de novo assembler using long noisy reads},
|
||||
author = {Jue Ruan},
|
||||
@@ -172,14 +165,6 @@
|
||||
Volume = {29},
|
||||
Year = {2011}}
|
||||
|
||||
@article {Suzuki130633,
|
||||
author = {Suzuki, Hajime and Kasahara, Masahiro},
|
||||
title = {Acceleration Of Nucleotide Semi-Global Alignment With Adaptive Banded Dynamic Programming},
|
||||
year = {2017},
|
||||
note = {doi:10.1101/130633},
|
||||
publisher = {Cold Spring Harbor Labs Journals},
|
||||
journal = {bioRxiv}}
|
||||
|
||||
@article{Gotoh:1982aa,
|
||||
Author = {Gotoh, O},
|
||||
Journal = {J Mol Biol},
|
||||
@@ -259,3 +244,208 @@
|
||||
Title = {{Striped Smith-Waterman speeds database searches six times over other SIMD implementations}},
|
||||
Volume = {23},
|
||||
Year = {2007}}
|
||||
|
||||
@techreport{Holtgrewe:2010aa,
|
||||
Address = {Freie Universit{\"a}t Berlin},
|
||||
Author = {Holtgrewe, M.},
|
||||
Institution = {Institut f{\"u}r Mathematik und Informatik},
|
||||
Number = {TR-B-10-06},
|
||||
Title = {Mason -- a read simulator for second generation sequencing data},
|
||||
Year = {2010}}
|
||||
|
||||
@article{Zaharia:2011aa,
|
||||
Author = {Zaharia, Matei and others},
|
||||
Journal = {arXiv:1111:5572},
|
||||
Title = {Faster and More Accurate Sequence Alignment with {SNAP}},
|
||||
Year = {2011}}
|
||||
|
||||
@article{Irimia:2008aa,
|
||||
Author = {Irimia, Manuel and Roy, Scott William},
|
||||
Journal = {PLoS Genet},
|
||||
Pages = {e1000148},
|
||||
Title = {Evolutionary convergence on highly-conserved 3' intron structures in intron-poor eukaryotes and insights into the ancestral eukaryotic genome},
|
||||
Volume = {4},
|
||||
Year = {2008}}
|
||||
|
||||
@article{Depristo:2011vn,
|
||||
Author = {Depristo, Mark A and others},
|
||||
Journal = {Nat Genet},
|
||||
Pages = {491-8},
|
||||
Title = {A framework for variation discovery and genotyping using next-generation {DNA} sequencing data},
|
||||
Volume = {43},
|
||||
Year = {2011}}
|
||||
|
||||
@article{Kurtz:2004zr,
|
||||
Author = {Kurtz, Stefan and others},
|
||||
Journal = {Genome Biol},
|
||||
Pages = {R12},
|
||||
Title = {Versatile and open software for comparing large genomes},
|
||||
Volume = {5},
|
||||
Year = {2004}}
|
||||
|
||||
@article {Li223297,
|
||||
author = {Li, Heng and others},
|
||||
title = {New synthetic-diploid benchmark for accurate variant calling evaluation},
|
||||
year = {2017},
|
||||
note = {doi:10.1101/223297},
|
||||
journal = {bioRxiv}
|
||||
}
|
||||
|
||||
@article{Berlin:2015xy,
|
||||
Author = {Berlin, Konstantin and others},
|
||||
Journal = {Nat Biotechnol},
|
||||
Pages = {623-30},
|
||||
Title = {Assembling large genomes with single-molecule sequencing and locality-sensitive hashing},
|
||||
Volume = {33},
|
||||
Year = {2015}}
|
||||
|
||||
@article{Gurevich:2013aa,
|
||||
Author = {Gurevich, Alexey and others},
|
||||
Journal = {Bioinformatics},
|
||||
Pages = {1072-5},
|
||||
Title = {{QUAST}: quality assessment tool for genome assemblies},
|
||||
Volume = {29},
|
||||
Year = {2013}}
|
||||
|
||||
@article{Li:2010fk,
|
||||
Author = {Li, Heng and Durbin, Richard},
|
||||
Journal = {Bioinformatics},
|
||||
Pages = {589-95},
|
||||
Title = {Fast and accurate long-read alignment with {Burrows-Wheeler} transform},
|
||||
Volume = {26},
|
||||
Year = {2010}}
|
||||
|
||||
@article{Marcais:2018aa,
|
||||
Author = {Mar{\c c}ais, Guillaume and others},
|
||||
Journal = {PLoS Comput Biol},
|
||||
Pages = {e1005944},
|
||||
Title = {{MUMmer4}: A fast and versatile genome alignment system},
|
||||
Volume = {14},
|
||||
Year = {2018}}
|
||||
|
||||
@article{Li:2009ys,
|
||||
Author = {Li, Heng and others},
|
||||
Journal = {Bioinformatics},
|
||||
Pages = {2078-9},
|
||||
Title = {The {Sequence Alignment/Map format and SAMtools}},
|
||||
Volume = {25},
|
||||
Year = {2009}}
|
||||
|
||||
@article{Suzuki:2018aa,
|
||||
Author = {Suzuki, Hajime and Kasahara, Masahiro},
|
||||
Journal = {BMC Bioinformatics},
|
||||
Pages = {45},
|
||||
Title = {Introducing difference recurrence relations for faster semi-global alignment of long sequences},
|
||||
Volume = {19},
|
||||
Year = {2018}}
|
||||
|
||||
@article{Li:2018ab,
|
||||
Author = {Li, Heng},
|
||||
Journal = {Bioinformatics},
|
||||
Pages = {3094-3100},
|
||||
Title = {Minimap2: pairwise alignment for nucleotide sequences},
|
||||
Volume = {34},
|
||||
Year = {2018}}
|
||||
|
||||
@article{Jain:2020aa,
|
||||
Author = {Jain, Chirag and others},
|
||||
Journal = {Bioinformatics},
|
||||
Pages = {i111-i118},
|
||||
Title = {Weighted minimizer sampling improves long read mapping},
|
||||
Volume = {36},
|
||||
Year = {2020}}
|
||||
|
||||
@article{Miga:2020aa,
|
||||
Author = {Miga, Karen H and others},
|
||||
Journal = {Nature},
|
||||
Pages = {79-84},
|
||||
Title = {Telomere-to-telomere assembly of a complete human {X} chromosome},
|
||||
Volume = {585},
|
||||
Year = {2020}}
|
||||
|
||||
@article {Jain2020.11.01.363887,
|
||||
author = {Jain, Chirag and others},
|
||||
title = {A long read mapping method for highly repetitive reference sequences},
|
||||
elocation-id = {2020.11.01.363887},
|
||||
year = {2020},
|
||||
doi = {10.1101/2020.11.01.363887},
|
||||
publisher = {Cold Spring Harbor Laboratory},
|
||||
abstract = {About 5-10\% of the human genome remains inaccessible for functional analysis due to the presence of repetitive sequences such as segmental duplications and tandem repeat arrays. To enable high-quality resequencing of personal genomes, it is crucial to support end-to-end genome variant discovery using repeat-aware read mapping methods. In this study, we highlight the fact that existing long read mappers often yield incorrect alignments and variant calls within long, near-identical repeats, as they remain vulnerable to allelic bias. In the presence of a non-reference allele within a repeat, a read sampled from that region could be mapped to an incorrect repeat copy because the standard pairwise sequence alignment scoring system penalizes true variants.To address the above problem, we propose a novel, long read mapping method that addresses allelic bias by making use of minimal confidently alignable substrings (MCASs). MCASs are formulated as minimal length substrings of a read that have unique alignments to a reference locus with sufficient mapping confidence (i.e., a mapping quality score above a user-specified threshold). This approach treats each read mapping as a collection of confident sub-alignments, which is more tolerant of structural variation and more sensitive to paralog-specific variants (PSVs) within repeats. We mathematically define MCASs and discuss an exact algorithm as well as a practical heuristic to compute them. The proposed method, referred to as Winnowmap2, is evaluated using simulated as well as real long read benchmarks using the recently completed gapless assemblies of human chromosomes X and 8 as a reference. We show that Winnowmap2 successfully addresses the issue of allelic bias, enabling more accurate downstream variant calls in repetitive sequences. As an example, using simulated PacBio HiFi reads and structural variants in chromosome 8, Winnowmap2 alignments achieved the lowest false-negative and false-positive rates (1.89\%, 1.89\%) for calling structural variants within near-identical repeats compared to minimap2 (39.62\%, 5.88\%) and NGMLR (56.60\%, 36.11\%) respectively.Winnowmap2 code is accessible at https://github.com/marbl/WinnowmapCompeting Interest StatementThe authors have declared no competing interest.},
|
||||
URL = {https://www.biorxiv.org/content/early/2020/11/02/2020.11.01.363887},
|
||||
eprint = {https://www.biorxiv.org/content/early/2020/11/02/2020.11.01.363887.full.pdf},
|
||||
journal = {bioRxiv}
|
||||
}
|
||||
|
||||
@article{Li:2020aa,
|
||||
Author = {Li, Heng and others},
|
||||
Journal = {Genome Biol},
|
||||
Pages = {265},
|
||||
Title = {The design and construction of reference pangenome graphs with minigraph},
|
||||
Volume = {21},
|
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Year = {2020}}
|
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|
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@article{Ren:2021aa,
|
||||
Author = {Ren, Jingwen and Chaisson, Mark J P},
|
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Journal = {PLoS Comput Biol},
|
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Pages = {e1009078},
|
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Title = {lra: A long read aligner for sequences and contigs},
|
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Volume = {17},
|
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Year = {2021}}
|
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|
||||
@inproceedings{DBLP:conf/wabi/AbouelhodaO03,
|
||||
Author = {Mohamed Ibrahim Abouelhoda and Enno Ohlebusch},
|
||||
Booktitle = {Algorithms in Bioinformatics, Third International Workshop, {WABI} 2003, Budapest, Hungary, September 15-20, 2003, Proceedings},
|
||||
Crossref = {DBLP:conf/wabi/2003},
|
||||
Pages = {1--16},
|
||||
Title = {A Local Chaining Algorithm and Its Applications in Comparative Genomics},
|
||||
Year = {2003}}
|
||||
|
||||
@article{Ono:2021aa,
|
||||
Author = {Ono, Yukiteru and others},
|
||||
Journal = {Bioinformatics},
|
||||
Pages = {589-595},
|
||||
Title = {{PBSIM2}: a simulator for long-read sequencers with a novel generative model of quality scores},
|
||||
Volume = {37},
|
||||
Year = {2021}}
|
||||
|
||||
@article{Sedlazeck:2018ab,
|
||||
Author = {Sedlazeck, Fritz J and others},
|
||||
Journal = {Nat Methods},
|
||||
Pages = {461-468},
|
||||
Title = {Accurate detection of complex structural variations using single-molecule sequencing},
|
||||
Volume = {15},
|
||||
Year = {2018}}
|
||||
|
||||
@article{Jeffares:2017aa,
|
||||
Author = {Jeffares, Daniel C and others},
|
||||
Journal = {Nat Commun},
|
||||
Pages = {14061},
|
||||
Title = {Transient structural variations have strong effects on quantitative traits and reproductive isolation in fission yeast},
|
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Volume = {8},
|
||||
Year = {2017}}
|
||||
|
||||
@article{Zook:2020aa,
|
||||
Author = {Zook, Justin M and others},
|
||||
Journal = {Nat Biotechnol},
|
||||
Pages = {1347-1355},
|
||||
Title = {A robust benchmark for detection of germline large deletions and insertions},
|
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Volume = {38},
|
||||
Year = {2020}}
|
||||
|
||||
@article{Harpak:2017aa,
|
||||
Author = {Harpak, Arbel and others},
|
||||
Journal = {Proc Natl Acad Sci U S A},
|
||||
Pages = {12779-12784},
|
||||
Title = {Frequent nonallelic gene conversion on the human lineage and its effect on the divergence of gene duplicates},
|
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Volume = {114},
|
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Year = {2017}}
|
||||
|
||||
@article{Li:2018aa,
|
||||
Author = {Li, Heng and others},
|
||||
Journal = {Nat Methods},
|
||||
Month = {Aug},
|
||||
Number = {8},
|
||||
Pages = {595-597},
|
||||
Title = {A synthetic-diploid benchmark for accurate variant-calling evaluation},
|
||||
Volume = {15},
|
||||
Year = {2018}}
|
||||
|
||||
+336
-121
@@ -1,6 +1,6 @@
|
||||
\documentclass{bioinfo}
|
||||
\copyrightyear{2017}
|
||||
\pubyear{2017}
|
||||
\copyrightyear{2018}
|
||||
\pubyear{2018}
|
||||
|
||||
\usepackage{graphicx}
|
||||
\usepackage{hyperref}
|
||||
@@ -13,29 +13,37 @@
|
||||
|
||||
\usepackage{natbib}
|
||||
\bibliographystyle{apalike}
|
||||
\usepackage{hyperref}
|
||||
|
||||
\DeclareMathOperator*{\argmax}{argmax}
|
||||
|
||||
\begin{document}
|
||||
\firstpage{1}
|
||||
|
||||
\title[Aligning long nucleotide sequences with minimap2]{Minimap2: fast pairwise alignment for long nucleotide sequences}
|
||||
\title[Aligning nucleotide sequences with minimap2]{Minimap2: pairwise alignment for nucleotide sequences}
|
||||
\author[Li]{Heng Li}
|
||||
\address{Broad Institute, 415 Main Street, Cambridge, MA 02142, USA}
|
||||
|
||||
\maketitle
|
||||
|
||||
\begin{abstract}
|
||||
\section{Summary:} Minimap2 is a general-purpose mapper to align long noisy DNA
|
||||
or mRNA sequences against a large reference database. It targets query
|
||||
sequences of 1kb--100Mb in length with per-base divergence typically below
|
||||
25\%. For DNA sequence reads, minimap2 is $\sim$30 times faster than many
|
||||
mainstream long-read aligners and achieves higher accuracy on simulated data.
|
||||
It also employs concave gap cost and rescues inversions for improved alignment
|
||||
around potential structural variations. For real long RNA-seq reads, minimap2
|
||||
is $\sim$40 times faster than peers and produces alignment more consistent with
|
||||
existing gene annotations.
|
||||
|
||||
\section{Motivation:} Recent advances in sequencing technologies promise
|
||||
ultra-long reads of $\sim$100 kilo bases (kb) in average, full-length mRNA or
|
||||
cDNA reads in high throughput and genomic contigs over 100 mega bases (Mb) in
|
||||
length. Existing alignment programs are unable or inefficient to process such data
|
||||
at scale, which presses for the development of new alignment algorithms.
|
||||
|
||||
\section{Results:} Minimap2 is a general-purpose alignment program to map DNA or long
|
||||
mRNA sequences against a large reference database. It works with accurate short
|
||||
reads of $\ge$100bp in length, $\ge$1kb genomic reads at error rate $\sim$15\%,
|
||||
full-length noisy Direct RNA or cDNA reads, and assembly contigs or closely
|
||||
related full chromosomes of hundreds of megabases in length. Minimap2 does
|
||||
split-read alignment, employs concave gap cost for long insertions and
|
||||
deletions (INDELs) and introduces new heuristics to reduce spurious alignments.
|
||||
It is 3--4 times as fast as mainstream short-read mappers at comparable
|
||||
accuracy, and is $\ge$30 times faster than long-read genomic or cDNA
|
||||
mappers at higher accuracy, surpassing most aligners specialized in one type of
|
||||
alignment.
|
||||
|
||||
\section{Availability and implementation:}
|
||||
\href{https://github.com/lh3/minimap2}{https://github.com/lh3/minimap2}
|
||||
@@ -56,29 +64,38 @@ the thought that 10kb long sequences should be easier to map than 100bp reads
|
||||
because we can more effectively skip repetitive regions, which are often the
|
||||
bottleneck of short-read alignment. We confirmed our speculation by achieving
|
||||
approximate mapping 50 times faster than BWA-MEM~\citep{Li:2016aa}.
|
||||
\citet{Suzuki:2016} extended our work with a fast and novel algorithm on
|
||||
\citet{Suzuki:2018aa} extended our work with a fast and novel algorithm on
|
||||
generating base-level alignment, which in turn inspired us to develop minimap2
|
||||
towards higher accuracy and more practical functionality.
|
||||
with added functionality.
|
||||
|
||||
Both SMRT and ONT have been applied to sequence spliced mRNAs (RNA-seq). While
|
||||
Both SMRT and ONT have been applied to the sequencing of spliced mRNAs (RNA-seq). While
|
||||
traditional mRNA aligners work~\citep{Wu:2005vn,Iwata:2012aa}, they are not
|
||||
optimized for long noisy sequence reads and are tens of times slower than
|
||||
dedicated long-read aligners. When developing minimap2 initially for aligning
|
||||
genomic DNA only, we realized minor modifications could make it competitive for
|
||||
aligning mRNAs as well. Minimap2 is a first RNA-seq aligner specifically
|
||||
designed for long noisy reads.
|
||||
genomic DNA only, we realized minor modifications could enable the base
|
||||
algorithm to map mRNAs as well. Minimap2 becomes a first RNA-seq aligner
|
||||
specifically designed for long noisy reads. We have also extended the original
|
||||
algorithm to map short reads at a speed faster than several mainstream
|
||||
short-read mappers.
|
||||
|
||||
In this article, we will describe the minimap2 algorithm and its applications
|
||||
to different types of input sequences. We will evaluate the performance and
|
||||
accuracy of minimap2 on several simulated and real data sets and demonstrate
|
||||
the versatility of minimap2.
|
||||
|
||||
\begin{methods}
|
||||
\section{Methods}
|
||||
|
||||
Minimap2 follows a typical seed-chain-align procedure as is used by most
|
||||
full-genome aligners. It collects minimizers~\citep{Roberts:2004fv} of the
|
||||
reference sequences and indexes them in a hash table. Then for each query
|
||||
sequence, minimap2 takes query minimizers as \emph{seeds}, finds matches to the
|
||||
reference, and identifies sets of colinear seeds, which are called
|
||||
reference sequences and indexes them in a hash table, with the key being the
|
||||
hash of a minimizer and the value being a list of locations of the minimizer
|
||||
copies. Then for each query
|
||||
sequence, minimap2 takes query minimizers as \emph{seeds}, finds exact matches
|
||||
(i.e. \emph{anchors}) to the reference, and identifies sets of colinear anchors as
|
||||
\emph{chains}. If base-level alignment is requested, minimap2 applies dynamic
|
||||
programming (DP) to extend from the ends of chains and to close unseeded
|
||||
regions between adjacent seeds in chains.
|
||||
programming (DP) to extend from the ends of chains and to close
|
||||
regions between adjacent anchors in chains.
|
||||
|
||||
Minimap2 uses indexing and seeding algorithms similar to
|
||||
minimap~\citep{Li:2016aa}, and furthers the predecessor with more accurate
|
||||
@@ -103,9 +120,15 @@ distance between two anchors is too large); otherwise
|
||||
\begin{equation}\label{eq:chain-gap}
|
||||
\beta(j,i)=\gamma_c\big((y_i-y_j)-(x_i-x_j)\big)
|
||||
\end{equation}
|
||||
In implementation, a gap of length $l$ costs $\gamma_c(l)=0.01\cdot \bar{w}\cdot
|
||||
|l|+0.5\log_2|l|$, where $\bar{w}$ is the average seed length. For $m$ anchors, directly computing all $f(\cdot)$ with
|
||||
Eq.~(\ref{eq:chain}) takes $O(m^2)$ time. Although theoretically faster
|
||||
In implementation, a gap of length $l$ costs
|
||||
\[
|
||||
\gamma_c(l)=\left\{\begin{array}{ll}
|
||||
0.01\cdot \bar{w}\cdot|l|+0.5\log_2|l| & (l\not=0) \\
|
||||
0 & (l=0)
|
||||
\end{array}\right.
|
||||
\]
|
||||
where $\bar{w}$ is the average seed length. For $N$ anchors, directly computing all $f(\cdot)$ with
|
||||
Eq.~(\ref{eq:chain}) takes $O(N^2)$ time. Although theoretically faster
|
||||
chaining algorithms exist~\citep{Abouelhoda:2005aa}, they
|
||||
are inapplicable to generic gap cost, complex to implement and usually
|
||||
associated with a large constant. We introduced a simple heuristic to
|
||||
@@ -115,23 +138,25 @@ We note that if anchor $i$ is chained to $j$, chaining $i$ to a predecessor
|
||||
of $j$ is likely to yield a lower score. When evaluating Eq.~(\ref{eq:chain}),
|
||||
we start from anchor $i-1$ and stop the process if we cannot find a better
|
||||
score after up to $h$ iterations. This approach reduces the average time to
|
||||
$O(h\cdot m)$. In practice, we can almost always find the optimal chain with
|
||||
$O(hN)$. In practice, we can almost always find the optimal chain with
|
||||
$h=50$; even if the heuristic fails, the optimal chain is often close.
|
||||
|
||||
\subsubsection{Backtracking}
|
||||
Let $P(i)$ be the index of the best predecessor of anchor $i$. It equals 0 if
|
||||
$f(i)=w_i$ or $\argmax_j\{f(j)+\eta(j,i)-\gamma(j,i)\}$ otherwise. For each
|
||||
$f(i)=w_i$ or $\argmax_j\{f(j)+\alpha(j,i)-\beta(j,i)\}$ otherwise. For each
|
||||
anchor $i$ in the descending order of $f(i)$, we apply $P(\cdot)$ repeatedly to
|
||||
find its predecessor and mark each visited $i$ as `used', until $P(i)=0$ or we
|
||||
reach an already `used' $i$. This way we find all chains with no anchors used
|
||||
in more than one chains.
|
||||
|
||||
\subsubsection{Identifying primary chains}
|
||||
\subsubsection{Identifying primary chains}\label{sec:primary}
|
||||
In the absence of copy number changes, each query segment should not be mapped
|
||||
to two places in the reference. However, chains found at the previous step may
|
||||
have significant or complete overlaps due to repeats in the reference.
|
||||
have significant or complete overlaps due to repeats in the reference~\citep{Li:2010fk}.
|
||||
Minimap2 used the following procedure to identify \emph{primary chains} that do
|
||||
not greatly overlap on the query. Let $Q$ be an empty set initially. For each
|
||||
not greatly overlap on the query.
|
||||
|
||||
Let $Q$ be an empty set initially. For each
|
||||
chain from the best to the worst according to their chaining scores: if on the
|
||||
query, the chain overlaps with a chain in $Q$ by 50\% or higher percentage of
|
||||
the shorter chain, mark the chain as secondary to the chain in $Q$; otherwise,
|
||||
@@ -139,7 +164,64 @@ add the chain to $Q$. In the end, $Q$ contains all the primary chains. We did
|
||||
not choose a more sophisticated data structure (e.g. range tree or k-d tree)
|
||||
because this step is not the performance bottleneck.
|
||||
|
||||
\subsection{Aligning genomic DNA}
|
||||
For each primary chain, minimap2 estimates its mapping quality with an
|
||||
empirical formula:
|
||||
\[
|
||||
{\rm mapQ}=40\cdot (1-f_2/f_1)\cdot\min\{1,m/10\}\cdot\log f_1
|
||||
\]
|
||||
where $\log$ denotes natural logarithm, $m$ is the number of anchors on the primary chain, $f_1$ is the chaining
|
||||
score, and $f_2\le f_1$ is the score of the best chain that is secondary to the
|
||||
primary chain. Intuitively, a chain is assigned to a higher mapping quality if
|
||||
it is long and its best secondary chain is weak.
|
||||
|
||||
\subsubsection{Estimating per-base sequence divergence}
|
||||
Suppose a query sequence harbors $n$ seeds of length $k$, $m$ of which are
|
||||
present in a chain. We want to estimate the sequence divergence $\epsilon$
|
||||
between the query and the reference sequences in the chain. This is useful
|
||||
when base-level alignment is too expensive to perform.
|
||||
|
||||
If we model substitutions with a homogeneous Poisson process along the query
|
||||
sequence, the probablity of seeing $k$ consecutive bases without substitutions
|
||||
is $e^{-k\epsilon}$. On the assumption that all $k$-mers are independent of
|
||||
each other, the likelihood function of $\epsilon$ is
|
||||
\[
|
||||
\mathcal{L}(\epsilon|n,m,k)=e^{-m\cdot k\epsilon}(1-e^{-k\epsilon})^{n-m}
|
||||
\]
|
||||
The maximum likelihood estimate of $\epsilon$ is
|
||||
\[
|
||||
\hat{\epsilon}=\frac{1}{k}\log\frac{n}{m}
|
||||
\]
|
||||
In reality, sequencing errors are sometimes clustered and $k$-mers are not
|
||||
independent of each other, especially when we take minimizers as seeds. These
|
||||
violate the assumptions in the derivation above. As a result, $\hat{\epsilon}$
|
||||
is only approximate and can be biased. It also ignores long deletions from the
|
||||
reference sequence. In practice, fortunately, $\hat{\epsilon}$ is often close
|
||||
to and strongly correlated with the sequence divergence estimated from
|
||||
base-level alignments. On the several datasets used in
|
||||
Section~\ref{sec:long-genomic}, the Spearman correlation coefficient is around
|
||||
$0.9$.
|
||||
|
||||
\subsubsection{Indexing with homopolymer compressed $k$-mers}
|
||||
SmartDenovo
|
||||
(\href{https://github.com/ruanjue/smartdenovo}{https://github.com/ruanjue/smartdenovo};
|
||||
J. Ruan, personal communication) indexes reads with homopolymer-compressed (HPC)
|
||||
$k$-mers and finds the strategy improves overlap sensitivity for SMRT reads.
|
||||
Minimap2 adopts the same heuristic.
|
||||
|
||||
The HPC string of a string $s$, denoted by ${\rm HPC}(s)$, is constructed by
|
||||
contracting homopolymers in $s$ to a single base. An HPC $k$-mer of $s$ is a
|
||||
$k$-long substring of ${\rm HPC}(s)$. For example, suppose $s={\tt GGATTTTCCA}$,
|
||||
${\rm HPC}(s)={\tt GATCA}$ and the first HPC 4-mer is ${\tt GATC}$.
|
||||
|
||||
To demonstrate the effectiveness of HPC $k$-mers, we performed read overlapping
|
||||
for the example {\it E. coli} SMRT reads from PBcR~\citep{Berlin:2015xy}, using
|
||||
different types of $k$-mers. With normal 15bp minimizers per 5bp window,
|
||||
minimap2 finds 90.9\% of $\ge$2kb overlaps inferred from the read-to-reference
|
||||
alignment. With HPC 19-mers per 5bp window, minimap2 finds 97.4\% of overlaps. It achieves this
|
||||
higher sensitivity by indexing 1/3 fewer minimizers, which further helps
|
||||
performance. HPC-based indexing reduces the sensitivity for current ONT reads, though.
|
||||
|
||||
\subsection{Aligning genomic DNA}\label{sec:genomic}
|
||||
|
||||
\subsubsection{Alignment with 2-piece affine gap cost}
|
||||
|
||||
@@ -168,7 +250,7 @@ where $s(i,j)$ is the score between the $i$-th reference base and $j$-th query
|
||||
base. Eq.~(\ref{eq:ae86}) is a natural extension to the equation under affine
|
||||
gap cost~\citep{Gotoh:1982aa,Altschul:1986aa}.
|
||||
|
||||
\subsubsection{Suzuki's formulation}
|
||||
\subsubsection{The Suzuki-Kasahara formulation}
|
||||
|
||||
When we allow gaps longer than several hundred base pairs, nucleotide-level
|
||||
alignment is much slower than chaining. SSE acceleration is critical to the
|
||||
@@ -176,14 +258,14 @@ performance of minimap2. Traditional SSE implementations~\citep{Farrar:2007hs}
|
||||
based on Eq.~(\ref{eq:ae86}) can achieve 16-way parallelization for short
|
||||
sequences, but only 4-way parallelization when the peak alignment score reaches
|
||||
32767. Long sequence alignment may exceed this threshold. Inspired by
|
||||
\citet{Wu:1996aa} and the following work, \citet{Suzuki:2016} proposed a
|
||||
\citet{Wu:1996aa} and the following work, \citet{Suzuki:2018aa} proposed a
|
||||
difference-based formulation that lifted this limitation.
|
||||
In case of 2-piece gap cost, define
|
||||
\[
|
||||
\left\{\begin{array}{ll}
|
||||
u_{ij}\triangleq H_{ij}-H_{i-1,j} & v_{ij}\triangleq H_{ij}-H_{i,j-1} \\
|
||||
x_{ij}\triangleq E_{i+1,j}-H_{ij} & \tilde{x}_{ij}\triangleq \tilde{E}_{i+1,j}-\tilde{H}_{ij} \\
|
||||
y_{ij}\triangleq F_{i,j+1}-H_{ij} & \tilde{y}_{ij}\triangleq \tilde{F}_{i,j+1}-\tilde{H}_{ij}
|
||||
x_{ij}\triangleq E_{i+1,j}-H_{ij} & \tilde{x}_{ij}\triangleq \tilde{E}_{i+1,j}-H_{ij} \\
|
||||
y_{ij}\triangleq F_{i,j+1}-H_{ij} & \tilde{y}_{ij}\triangleq \tilde{F}_{i,j+1}-H_{ij}
|
||||
\end{array}\right.
|
||||
\]
|
||||
We can transform Eq.~(\ref{eq:ae86}) to
|
||||
@@ -243,11 +325,11 @@ y_{rt}&=&\max\{0,y_{r-1,t}+u_{r-1,t}-z_{rt}+q\}-q-e\\
|
||||
\end{equation*}
|
||||
In this formulation, cells with the same diagonal index $r$ are independent of
|
||||
each other. This allows us to fully vectorize the computation of all cells on
|
||||
the same anti-diagonal in one inner loop. It also simplifies banded alignment,
|
||||
the same anti-diagonal in one inner loop. It also simplifies banded alignment (500bp band width by default),
|
||||
which would be difficult with striped vectorization~\citep{Farrar:2007hs}.
|
||||
|
||||
On the condition that $q+e<\tilde{q}+\tilde{e}$ and $e>\tilde{e}$, the initial
|
||||
values in the diagonal-antidiagonal formuation is
|
||||
values in the diagonal-antidiagonal formuation are
|
||||
\[
|
||||
\left\{\begin{array}{l}
|
||||
x_{r-1,-1}=y_{r-1,r}=-q-e\\
|
||||
@@ -266,12 +348,19 @@ r\cdot(e-\tilde{e})-(\tilde{q}-q)-\tilde{e} & (r=\lceil\frac{\tilde{q}-q}{e-\til
|
||||
\]
|
||||
These can be derived from the initial values for Eq.~(\ref{eq:ae86}).
|
||||
|
||||
When performing global alignment, we do not need to compute $H_{rt}$ in each cell.
|
||||
We use 16-way vectorization throughout the alignment process. When extending
|
||||
alignments from ends of chains, we need to find the cell $(r,t)$ where $H_{rt}$
|
||||
reaches the maximum. We resort to 4-way vectorization to compute
|
||||
$H_{rt}=H_{r-1,t}+u_{rt}$. Because this computation is simple,
|
||||
Eq.~(\ref{eq:suzuki}) is still the dominant performance bottleneck.
|
||||
|
||||
In practice, our 16-way vectorized implementation of global alignment is three
|
||||
times as fast as Parasail's 4-way vectorization~\citep{Daily:2016aa}. Without
|
||||
banding, our implementation is slower than Edlib~\citep{Sosic:2017aa}, but with
|
||||
a 1000bp band, it is considerably faster. When performing global alignment
|
||||
between anchors, we expect the alignment to stay close to the diagonal of the
|
||||
DP matrix. Banding is applicable most of time.
|
||||
DP matrix. Banding is applicable most of the time.
|
||||
|
||||
\subsubsection{The Z-drop heuristic}
|
||||
|
||||
@@ -295,6 +384,16 @@ alignment between the two subsequences involved in the global alignment, but
|
||||
this time with the one subsequence reverse complemented. This additional
|
||||
alignment step may identify short inversions that are missed during chaining.
|
||||
|
||||
\subsubsection{Filtering out misplaced anchors}
|
||||
Due to sequencing errors and local homology, some anchors in a chain may be
|
||||
wrong. If we blindly align regions between two misplaced anchors, we will
|
||||
produce a suboptimal alignment. To reduce this artifact, we filter out
|
||||
anchors that lead to a $>$10bp insertion and a $>$10bp deletion at the same
|
||||
time, and filter out terminal anchors that lead to a long gap towards the ends
|
||||
of a chain. These heuristics greatly alleviate the issues with misplaced
|
||||
anchors, but they are unable to fix all such errors. Local misalignment is a
|
||||
limitation of minimap2 which we hope to address in future.
|
||||
|
||||
\subsection{Aligning spliced sequences}
|
||||
|
||||
The algorithm described above can be adapted to spliced alignment. In this
|
||||
@@ -326,18 +425,24 @@ F_{i,j+1}= \max\{H_{ij}-q,F_{ij}\}-e\\
|
||||
\tilde{E}_{i+1,j}= \max\{H_{ij}-d(i)-\tilde{q},\tilde{E}_{ij}\}\\
|
||||
\end{array}\right.
|
||||
\end{equation}
|
||||
Let $T$ be the reference sequence. $d(i)$ is the cost of a non-canonical donor
|
||||
site, which takes 0 if $T[i+1,i+2]={\tt GT}$, or a positive number $p$
|
||||
otherwise. Similarly, $a(i)$ is the cost of a non-canonical acceptor site, which
|
||||
takes 0 if $T[i-1,i]={\tt AG}$, or $p$ otherwise. Eq.~(\ref{eq:splice}) is
|
||||
almost equivalent to the equation used by EXALIN~\citep{Zhang:2006aa} except
|
||||
that we allow insertions immediately followed by deletions and vice versa; in
|
||||
addition, we use Suzuki's diagonal formulation in actual implementation.
|
||||
|
||||
%Given that $d_i$ and $a_i$
|
||||
%are a function of the reference sequence, it is possible to incorporate
|
||||
%splicing signals with more sophisticated models, such as positional weight
|
||||
%matrices. We have not tried this approach.
|
||||
Let $T$ be the reference sequence. $d(i)$ is computed as
|
||||
\[d(i)=\left\{\begin{array}{ll}
|
||||
0 & \mbox{if $T[i+1,i+3]$ is ${\tt GTA}$ or ${\tt GTG}$} \\
|
||||
p/2 & \mbox{if $T[i+1,i+3]$ is ${\tt GTC}$ or ${\tt GTT}$} \\
|
||||
p & \mbox{otherwise}
|
||||
\end{array}\right.\]
|
||||
where $T[i,j]$ extracts a substring of $T$ between $i$ and $j$ inclusively.
|
||||
$d(i)$ penalizes non-canonical donor sites with $p$ and less frequent Eukaryotic
|
||||
splicing signal ${\tt GT[C/T]}$ with $p/2$~\citep{Irimia:2008aa}. Similarly,
|
||||
\[a(i)=\left\{\begin{array}{ll}
|
||||
0 & \mbox{if $T[i-2,i]$ is ${\tt CAG}$ or ${\tt TAG}$} \\
|
||||
p/2 & \mbox{if $T[i-2,i]$ is ${\tt AAG}$ or ${\tt GAG}$} \\
|
||||
p & \mbox{otherwise}
|
||||
\end{array}\right.\]
|
||||
models the acceptor signal. Eq.~(\ref{eq:splice}) is close to an equation in
|
||||
\citet{Zhang:2006aa} except that we allow insertions immediately followed by
|
||||
deletions and vice versa; in addition, we use the Suzuki-Kasahara diagonal
|
||||
formulation in actual implementation.
|
||||
|
||||
If RNA-seq reads are not sequenced from stranded libraries, the read strand
|
||||
relative to the underlying transcript is unknown. By default, minimap2 aligns
|
||||
@@ -349,31 +454,65 @@ reads that span canonical splicing sites.
|
||||
|
||||
In the spliced alignment mode, minimap2 further increases the density of
|
||||
minimizers and disables banded alignment. Together with the two-round DP-based
|
||||
alignment, spliced alignment is several times slower than DNA sequence
|
||||
alignment, spliced alignment is several times slower than genomic DNA
|
||||
alignment.
|
||||
|
||||
\subsection{Aligning short paired-end reads}
|
||||
|
||||
During chaining, minimap2 takes a pair of reads as one fragment with a gap of
|
||||
unknown length in the middle. It applies a normal gap cost between seeds on the
|
||||
same read but is a more permissive gap cost between seeds on different reads.
|
||||
More precisely, the gap cost during chaining is ($l\not=0$):
|
||||
\[
|
||||
\gamma_c(l)=\left\{\begin{array}{ll}
|
||||
0.01\cdot\bar{w}\cdot |l|+0.5\log_2 |l| & \mbox{if two seeds on the same read} \\
|
||||
\min\{0.01\cdot\bar{w}\cdot|l|,\log_2|l|\} & \mbox{otherwise}
|
||||
\end{array}\right.
|
||||
\]
|
||||
After identifying primary chains (Section~\ref{sec:primary}), we split each
|
||||
fragment chain into two read chains and perform alignment for each read as in
|
||||
Section~\ref{sec:genomic}. Finally, we pair hits of each read end to find
|
||||
consistent paired-end alignments.
|
||||
|
||||
\end{methods}
|
||||
|
||||
\section{Results}
|
||||
|
||||
\subsection{Aligning genomic reads}
|
||||
Minimap2 is implemented in the C programming language and comes with APIs in
|
||||
both C and Python. It is distributed under the MIT license, free to both
|
||||
commercial and academic uses. Minimap2 uses the same base algorithm for all
|
||||
applications, but it has to apply different sets of parameters depending on
|
||||
input data types. Similar to BWA-MEM, minimap2 introduces `presets' that
|
||||
modify multiple parameters with a simple invocation. Detailed settings
|
||||
and command-line options can be found in the minimap2 manpage. In addition to
|
||||
the applications evaluated in the following sections, minimap2 also retains
|
||||
minimap's functionality to find overlaps between long reads and to search
|
||||
against large multi-species databases such as \emph{nt} from NCBI.
|
||||
|
||||
\subsection{Aligning long genomic reads}\label{sec:long-genomic}
|
||||
|
||||
\begin{figure}[!tb]
|
||||
\centering
|
||||
\includegraphics[width=.5\textwidth]{roc-color.pdf}
|
||||
\caption{Evaluation on simulated SMRT reads aligned against human genome
|
||||
GRCh38. 33,088 $\ge$1000bp reads were simulated using pbsim~\citep{Ono:2013aa}
|
||||
with error profile sampled from file `m131017\_060208\_42213\_*.1.*' downloaded
|
||||
at \href{http://bit.ly/chm1p5c3}{http://bit.ly/chm1p5c3}. The N50 read length
|
||||
is 11,628. A read is considered correctly mapped if the true position overlaps
|
||||
with the best mapping position by 10\% of the read length. All aligners were
|
||||
run under the default setting for SMRT reads. (a) ROC-like curve. Alignments
|
||||
are sorted by mapping quality in the descending order. For each mapping quality
|
||||
threshold, the fraction of alignments with mapping quality above the threshold
|
||||
and their error rate are plotted. Kart outputted all alignments at mapping
|
||||
quality 60, so is not shown in the figure. It mapped nearly all reads with
|
||||
4.1\% of alignments being wrong, less accurate than others. (b) Accumulative
|
||||
mapping error rate as a function of mapping quality.}\label{fig:eval}
|
||||
\caption{Evaluation on aligning simulated reads. Simulated reads were mapped
|
||||
to the primary assembly of human genome GRCh38. A read is considered correctly
|
||||
mapped if its longest alignment overlaps with the true interval, and the
|
||||
overlap length is $\ge$10\% of the true interval length. Read alignments are
|
||||
sorted by mapping quality in the descending order. For each mapping quality
|
||||
threshold, the fraction of alignments (out of the number of input reads) with
|
||||
mapping quality above the threshold and their error rate are
|
||||
plotted along the curve. (a) long-read alignment evaluation. 33,088 $\ge$1000bp
|
||||
reads were simulated using pbsim~\citep{Ono:2013aa} with error profile sampled
|
||||
from file `m131017\_060208\_42213\_*.1.*' downloaded at
|
||||
\href{http://bit.ly/chm1p5c3}{http://bit.ly/chm1p5c3}. The N50 read length is
|
||||
11,628. Aligners were run under the default setting for SMRT reads.
|
||||
Kart outputted all alignments at mapping quality 60, so is not shown in the
|
||||
figure. It mapped nearly all reads with 4.1\% of alignments being wrong, less
|
||||
accurate than others. (b) short-read alignment evaluation. 10 million pairs of
|
||||
150bp reads were simulated using mason2~\citep{Holtgrewe:2010aa} with option
|
||||
`\mbox{--illumina-prob-mismatch-scale 2.5}'. Short-read aligners were run under
|
||||
the default setting except for changing the maximum fragment length to
|
||||
800bp.}\label{fig:eval}
|
||||
\end{figure}
|
||||
|
||||
As a sanity check, we evaluated minimap2 on simulated human reads along with
|
||||
@@ -381,22 +520,20 @@ BLASR~(v1.MC.rc64; \citealp{Chaisson:2012aa}),
|
||||
BWA-MEM~(v0.7.15; \citealp{Li:2013aa}),
|
||||
GraphMap~(v0.5.2; \citealp{Sovic:2016aa}),
|
||||
Kart~(v2.2.5; \citealp{Lin:2017aa}),
|
||||
minialign~(v0.5.3; \citealp{Suzuki:2016}) and
|
||||
minialign~(v0.5.3; \href{https://github.com/ocxtal/minialign}{https://github.com/ocxtal/minialign}) and
|
||||
NGMLR~(v0.2.5; \citealp{Sedlazeck169557}). We excluded rHAT~\citep{Liu:2016ab}
|
||||
and LAMSA~\citep{Liu:2017aa} because they either
|
||||
crashed or produced malformatted output. In this evaluation, minimap2 has
|
||||
higher power to distinguish unique and repetitive hits, and achieves overall
|
||||
higher mapping accuracy (Fig.~\ref{fig:eval}a). It is still the most accurate
|
||||
even if we skip DP-based alignment (data not shown), confirming chaining alone
|
||||
is sufficient to achieve high accuracy for approximate mapping. Minimap2 and
|
||||
higher mapping accuracy (Fig.~\ref{fig:eval}a). Minimap2 and
|
||||
NGMLR provide better mapping quality estimate: they rarely give repetitive hits
|
||||
high mapping quality (Fig.~\ref{fig:eval}b). Apparently, other aligners may
|
||||
high mapping quality. Apparently, other aligners may
|
||||
occasionally miss close suboptimal hits and be overconfident in wrong mappings.
|
||||
On run time, minialign is slightly faster than minimap2 and Kart. They are over
|
||||
30 times faster than the rest. Minimap2 consumed 6.1GB memory at the peak,
|
||||
more than BWA-MEM but less than others.
|
||||
On run time, minimap2 took 200 CPU seconds, comparable to minialign and Kart, and is over
|
||||
30 times faster than the rest. Minimap2 consumed 6.8GB memory at the peak,
|
||||
more than BWA-MEM (5.4GB), similar to NGMLR and less than others.
|
||||
|
||||
On real human SMRT reads, the relative performance and sensitivity of
|
||||
On real human SMRT reads, the relative performance and fraction of mapped reads reported by
|
||||
these aligners are broadly similar to the metrics on simulated data. We are
|
||||
unable to provide a good estimate of mapping error rate due to the lack of the
|
||||
truth. On ONT $\sim$100kb human reads~\citep{Jain128835}, BWA-MEM failed.
|
||||
@@ -406,19 +543,19 @@ confirm the observation by~\citet{Sedlazeck169557} that BWA-MEM often breaks
|
||||
them into shorter gaps. The issue is much alleviated with minimap2, thanks
|
||||
to the 2-piece affine gap cost.
|
||||
|
||||
\subsection{Aligning spliced reads}
|
||||
\subsection{Aligning long spliced reads}
|
||||
|
||||
We evaluated minimap2 on SIRV control data~(AC:SRR5286959;
|
||||
\citealp{Byrne:2017aa}) where the truth is known. Minimap2 predicted 59\,916
|
||||
introns from 11\,017 reads. 93.0\% of splice juctions are precise. We examined
|
||||
\citealp{Byrne:2017aa}) where the truth is known. Minimap2 predicted 59\,918
|
||||
introns from 11\,018 reads. 93.8\% of splice juctions are precise. We examined
|
||||
wrongly predicted junctions and found the majority were caused by clustered
|
||||
splicing signals (e.g. two adjacent ${\tt GT}$ sites). When INDEL sequencing
|
||||
errors are frequent, it is difficult to find precise splicing sites in this
|
||||
case. If we allow up to 10bp distance from true splicing sites, 98.4\% of
|
||||
aligned introns are approximately correct. Given this observation, we might be
|
||||
able to improve boundary detection by initializing $d(\cdot)$ and $a(\cdot)$ in
|
||||
Eq.~(\ref{eq:splice}) with position-specific scoring matrices or more
|
||||
sophisticated models. We have not tried this approach.
|
||||
aligned introns are approximately correct. It is worth noting that for SIRV, we
|
||||
asked minimap2 to model the ${\tt GT..AG}$ splicing signal only without extra
|
||||
bases. This is because SIRV does not honor the evolutionarily prevalent signal
|
||||
${\tt GT[A/G]..[C/T]AG}$~\citep{Irimia:2008aa}.
|
||||
|
||||
\begin{table}[!tb]
|
||||
\processtable{Evaluation of junction accuracy on 2D ONT reads}
|
||||
@@ -427,18 +564,18 @@ sophisticated models. We have not tried this approach.
|
||||
\toprule
|
||||
& GMAP & minimap2 & SpAln & STAR\\
|
||||
\midrule
|
||||
Run time (CPU min) & 631 & 15.5 & 2\,076 & 33.9 \\
|
||||
Peak RAM (GByte) & 8.9 & 14.5 & 3.2 & 29.2\vspace{1em}\\
|
||||
\# aligned reads & 103\,669 & 103\,917 & 103\,711 & 26\,479\\
|
||||
\# chimeric alignments & 1\,904 & 1\,671 & 0 & 0\\
|
||||
\# non-spliced alignments & 15\,854 & 14\,483 & 17\,033 & 10\,545\vspace{1em}\\
|
||||
\# aligned introns & 692\,275 & 694\,237 & 692\,945 & 78\,603 \\
|
||||
\# novel introns & 11\,239 & 3\,217 & 8\,550 & 1\,214 \\
|
||||
\% exact introns & 83.8\% & 91.8\% & 87.9\% & 55.2\% \\
|
||||
\% approx. introns & 91.8\% & 96.5\% & 92.5\% & 82.4\% \\
|
||||
Run time (CPU min) & 631 & 15.9 & 2\,076 & 33.9 \\
|
||||
Peak RAM (GByte) & 8.9 & 14.5 & 3.2 & 29.2\vspace{1em}\\
|
||||
\# aligned reads & 103\,669 & 104\,199 & 103\,711 & 26\,479 \\
|
||||
\# chimeric alignments & 1\,904 & 1\,488 & 0 & 0 \\
|
||||
\# non-spliced alignments & 15\,854 & 14\,798 & 17\,033 & 10\,545\vspace{1em}\\
|
||||
\# aligned introns & 692\,275 & 693\,553 & 692\,945 & 78\,603 \\
|
||||
\# novel introns & 11\,239 & 3\,113 & 8\,550 & 1\,214 \\
|
||||
\% exact introns & 83.8\% & 94.0\% & 87.9\% & 55.2\% \\
|
||||
\% approx. introns & 91.8\% & 96.9\% & 92.5\% & 82.4\% \\
|
||||
\botrule
|
||||
\end{tabular}
|
||||
}{Mouse reads (AC:SRR5286960) were mapped to the primary assembly of mouse
|
||||
}{Mouse cDNA reads (AC:SRR5286960; R9.4 chemistry) were mapped to the primary assembly of mouse
|
||||
genome GRCm38 with the following tools and command options: minimap2 (`-ax
|
||||
splice'); GMAP (`-n 0 --min-intronlength 30 --cross-species'); SpAln (`-Q7 -LS
|
||||
-S3'); STARlong (according to
|
||||
@@ -447,7 +584,7 @@ compared to the EnsEMBL gene annotation, release 89. A predicted intron
|
||||
is \emph{novel} if it has no overlaps with any annotated introns. An intron
|
||||
is \emph{exact} if it is identical to an annotated intron. An intron is
|
||||
\emph{approximate} if both its 5'- and 3'-end are within 10bp around the ends
|
||||
of an annotated intron.}
|
||||
of an annotated intron. Chimeric alignments are defined in the SAM spec~\citep{Li:2009ys}.}
|
||||
\end{table}
|
||||
|
||||
We next aligned real mouse reads~\citep{Byrne:2017aa} with GMAP~(v2017-06-20;
|
||||
@@ -456,10 +593,20 @@ STAR~(v2.5.3a; \citealp{Dobin:2013kx}). In general, minimap2 is more
|
||||
consistent with existing annotations (Table~\ref{tab:intron}): it finds
|
||||
more junctions with a higher percentage being exactly or approximately correct.
|
||||
Minimap2 is over 40 times faster than GMAP and SpAln. While STAR is close to
|
||||
minimap2 in speed, it does not work well with noisy reads. We have also
|
||||
evaluated spliced aligners on public Iso-Seq data (human Alzheimer brain
|
||||
from \href{http://bit.ly/isoseqpub}{http://bit.ly/isoseqpub}). The observation
|
||||
is similar: minimap2 is faster at higher junction accuracy.
|
||||
minimap2 in speed, it does not work well with noisy reads.
|
||||
|
||||
We have also evaluated spliced aligners on a human Nanopore Direct RNA-seq
|
||||
dataset (\href{http://bit.ly/na12878ont}{http://bit.ly/na12878ont}). Minimap2
|
||||
aligned 10 million reads in $<$1 wall-clock hour using 16 CPU cores. 94.2\% of
|
||||
aligned splice junctions consistent with gene annotations. In comparison,
|
||||
GMAP under option `-k 14 -n 0 --min-intronlength 30 --cross-species' is 160
|
||||
times slower; 68.7\% of GMAP junctions are found in known gene annotations. The
|
||||
percentage increases to 84.1\% if an aligned junction within 10bp from an
|
||||
annotated junction is considered to be correct. On a public Iso-Seq dataset
|
||||
(human Alzheimer brain from
|
||||
\href{http://bit.ly/isoseqpub}{http://bit.ly/isoseqpub}), minimap2 is also
|
||||
faster at higher junction accuracy in comparison to other aligners in
|
||||
Table~\ref{tab:intron}.
|
||||
|
||||
We noted that GMAP and SpAln have not been optimized for noisy reads. We are
|
||||
showing the best setting we have experimented, but their developers should be
|
||||
@@ -470,39 +617,107 @@ able to improve their accuracy further.
|
||||
%{\footnotesize
|
||||
%\begin{tabular}{lrrrr}
|
||||
%\toprule
|
||||
%& GMAP & minimap2 & SpAln & STAR\\
|
||||
% & GMAP & minimap2 & SpAln & STAR \\ % one GMAP thread took 14 days to align a tiny fraction of reads
|
||||
%\midrule
|
||||
%Run time (CPU min) & & 243 & 2\,352 & 1\,647 \\
|
||||
%\# aligned reads & & 1\,123\,025 & 1\,094\,092 & 682\,452\\
|
||||
%\# chimeric alignments & & 33\,091 & 0 & 0\\
|
||||
%\# non-spliced alignments & & 339\,081 & 291\,447 & 272\,536\vspace{1em}\\
|
||||
%\# aligned introns & & 9\,071\,755 & 9\,208\,564 & 3\,029\,121 \\
|
||||
%\# novel introns & & 42\,773 & 82\,230 & 17\,791 \\
|
||||
%\% exact introns & & 94.9\% & 91.7\% & 84.7\% \\
|
||||
%\% approx. introns&& 96.9\% & 93.4\% & 93.8\% \\
|
||||
%Run time (CPU min) & - & 243 & 2,352 & 1,647 \\
|
||||
%\# aligned reads & 1,113,502 & 1,123,025 & 1,094,092 & 682,452 \\
|
||||
%\# chimeric alignments & 48,927 & 33,091 & 0 & 0 \\
|
||||
%\# non-spliced alignments & 334,097 & 339,081 & 291,447 & 272,536 \vspace{1em}\\
|
||||
%\# aligned introns & 8,922,221 & 9,071,755 & 9,208,564 & 3,029,121 \\
|
||||
%\# novel introns & 48,927 & 42,773 & 82,230 & 17,791 \\
|
||||
%\% exact introns & 90.6\% & 94.9\% & 91.7\% & 84.7\% \\
|
||||
%\% approx. introns & 94.0\% & 96.9\% & 93.4\% & 93.8\% \\
|
||||
%\botrule
|
||||
%\end{tabular}
|
||||
%}{}
|
||||
%\end{table}
|
||||
|
||||
\subsection{Aligning short genomic reads}
|
||||
|
||||
\section{Conclusion}
|
||||
We evaluated minimap2 along with Bowtie2~(v2.3.3; \citealt{Langmead:2012fk}), BWA-MEM and
|
||||
SNAP (v1.0beta23; \citealt{Zaharia:2011aa}). Minimap2 is 3--4 times as fast as Bowtie2 and
|
||||
BWA-MEM, but is 1.3 times slower than SNAP. Minimap2 is more accurate on this
|
||||
simulated data set than Bowtie2 and SNAP but less accurate than BWA-MEM
|
||||
(Fig.~\ref{fig:eval}b). Closer investigation reveals that BWA-MEM achieves
|
||||
a higher accuracy partly because it tries to locally align a read in a small
|
||||
region close to its mate. If we disable this feature, BWA-MEM becomes slightly
|
||||
less accurate than minimap2. We might implement a similar heuristic
|
||||
in minimap2 in future.
|
||||
|
||||
Minimap2 is a fast, accurate and versatile aligner for long nucleotide
|
||||
sequences. In addition to reference-based read mapping, minimap2 inherits
|
||||
minimap's functionality to search against huge multi-species databases and to
|
||||
find read overlaps. On a few test data sets, minimap2 appears to yield slightly
|
||||
better miniasm assembly~\citep{Li:2016aa}. Minimap2 can also align similar
|
||||
genomes or different assemblies of the same species. However, full-genome
|
||||
alignment is an intricate research topic. More thorough evaluations would be
|
||||
necessary to justify the use of minimap2 for such applications.
|
||||
To evaluate the accuracy of minimap2 on real data, we aligned human reads
|
||||
(AC:ERR1341796) with BWA-MEM and minimap2, and called SNPs and small INDELs
|
||||
with GATK HaplotypeCaller v3.5~\citep{Depristo:2011vn}. This run was sequenced
|
||||
from experimentally mixed CHM1 and CHM13 cell lines. Both of them are homozygous
|
||||
across the whole genome and have been \emph{de novo} assembled with SMRT reads
|
||||
to high quality. This allowed us to construct an independent truth variant
|
||||
dataset~\citep{Li223297} for
|
||||
ERR1341796. In this evaluation, minimap2 has higher SNP false negative rate
|
||||
(FNR; 2.6\% of minimap2 vs 2.3\% of BWA-MEM), but fewer false positive SNPs per
|
||||
million bases (FPPM; 7.0 vs 8.8), similar INDEL FNR (11.2\% vs 11.3\%) and
|
||||
similar INDEL FPPM (6.4 vs 6.5). Minimap2 is broadly comparable to BWA-MEM in the
|
||||
context of small variant calling.
|
||||
|
||||
\subsection{Aligning long-read assemblies}
|
||||
|
||||
Minimap2 can align a SMRT assembly (AC:GCA\_001297185.1) against GRCh38 in 7
|
||||
minutes using 8 CPU cores, over 20 times faster than nucmer from
|
||||
MUMmer4~\citep{Marcais:2018aa}. With the paftools.js script from the minimap2
|
||||
package, we called 2.67 million single-base substitutions out of 2.78Gbp
|
||||
genomic regions. The transition-to-transversion ratio (ts/tv) is 2.01. In
|
||||
comparison, using MUMmer4's dnadiff pipeline, we called 2.86 million
|
||||
substitutions in 2.83Gbp at ts/tv=1.87. Given that ts/tv averaged across the
|
||||
human genome is about 2 but ts/tv averaged over random errors is 0.5, the
|
||||
minimap2 callset arguably has higher precision at lower sensitivity.
|
||||
|
||||
The sample being assembled is a female. Minimap2 still called 201 substitutions
|
||||
on the Y chromosome. These substitutions all come from one contig aligned at
|
||||
96.8\% sequence identity. The contig could be a segmental duplication
|
||||
absent from GRCh38. In constrast, dnadiff called 9070 substitutions on the Y
|
||||
chromosome across 73 SMRT contigs. This again implies our minimap2-based
|
||||
pipeline has higher precision.
|
||||
|
||||
\section{Discussions}
|
||||
|
||||
Minimap2 is a versatile mapper and pairwise aligner for nucleotide sequences.
|
||||
It works with short reads, assembly contigs and long noisy genomic and RNA-seq
|
||||
reads, and can be used as a read mapper, long-read overlapper or a full-genome
|
||||
aligner. Minimap2 is also accurate and efficient, often outperforming other
|
||||
domain-specific alignment tools in terms of both speed and accuracy.
|
||||
|
||||
The capability of minimap2 comes from a fast base-level alignment algorithm and
|
||||
an accurate chaining algorithm. When aligning long query sequences, base-level
|
||||
alignment is often the performance bottleneck. The Suzuki-Kasahara algorithm
|
||||
greatly alleviates the bottleneck and enables DP-based splice alignment
|
||||
involving $>$100kb introns, which was impractically slow ten years ago. The
|
||||
minimap2 chaining algorithm is fast and highly accurate by itself. In fact,
|
||||
chaining alone is more accurate than all the other long-read mappers in
|
||||
Fig.~\ref{fig:eval}a (data not shown). This accuracy helps to reduce downstream
|
||||
base-level alignment of candidate chains, which is still several times slower than
|
||||
chaining even with the Suzuki-Kasahara improvement. In addition, taking a
|
||||
general form, minimap2 chaining can be adapted to non-typical data types such as
|
||||
spliced reads and multiple reads per fragment. This gives us the opportunity to
|
||||
extend the same base algorithm to a variety of use cases.
|
||||
|
||||
Modern mainstream aligners often use a full-text index, such as suffix array or
|
||||
FM-index, to index reference sequences. An advantage of this approach is that
|
||||
we can use exact seeds of arbitrary lengths, which helps to increase seed
|
||||
uniqueness and reduce unsuccessful extensions. Minimap2 indexes reference
|
||||
k-mers with a hash table instead. Such fixed-length seeds are inferior to
|
||||
variable-length seeds in theory, but can be computed much more efficiently in
|
||||
practice. When a query sequence has multiple seed hits, we can afford to skip
|
||||
highly repetitive seeds without affecting the final accuracy. This further
|
||||
alleviates the concern with the seeding uniqueness. At the same time, at low
|
||||
sequence identity, it is rare to see long seeds anyway. Hash table is the ideal
|
||||
data structure for mapping long noisy sequences.
|
||||
|
||||
\section*{Acknowledgements}
|
||||
We owe a debt of gratitude to Hajime Suzuki for releasing his masterpiece and
|
||||
insightful notes before formal publication. We thank M. Schatz, P. Rescheneder
|
||||
and F. Sedlazeck for pointing out the limitation of BWA-MEM. We are also
|
||||
grateful to early minimap2 testers who have greatly helped to suggest features
|
||||
and to fix various issues.
|
||||
We owe a debt of gratitude to H. Suzuki and M. Kasahara for releasing their
|
||||
masterpiece and insightful notes before formal publication. We thank M.
|
||||
Schatz, P. Rescheneder and F. Sedlazeck for pointing out the limitation of
|
||||
BWA-MEM. We are also grateful to minimap2 users who have greatly helped to
|
||||
suggest features and to fix various issues.
|
||||
|
||||
\paragraph{Funding\textcolon} NHGRI 1R01HG010040-01
|
||||
|
||||
\bibliography{minimap2}
|
||||
|
||||
|
||||
@@ -0,0 +1,62 @@
|
||||
Q 60 18579866 27 0.000001453 18579866
|
||||
Q 59 27087 4 0.000001666 18606953
|
||||
Q 58 21435 1 0.000001718 18628388
|
||||
Q 57 45663 3 0.000001874 18674051
|
||||
Q 56 36031 2 0.000001978 18710082
|
||||
Q 55 18499 2 0.000002082 18728581
|
||||
Q 54 14754 2 0.000002187 18743335
|
||||
Q 53 25541 2 0.000002291 18768876
|
||||
Q 52 26397 5 0.000002554 18795273
|
||||
Q 51 15090 3 0.000002711 18810363
|
||||
Q 50 13425 11 0.000003294 18823788
|
||||
Q 49 15175 2 0.000003397 18838963
|
||||
Q 48 19407 4 0.000003606 18858370
|
||||
Q 47 11538 16 0.000004452 18869908
|
||||
Q 46 12558 17 0.000005349 18882466
|
||||
Q 45 40362 28 0.000006817 18922828
|
||||
Q 44 10465 13 0.000007500 18933293
|
||||
Q 43 10098 20 0.000008552 18943391
|
||||
Q 42 10682 19 0.000009549 18954073
|
||||
Q 41 9823 11 0.000010125 18963896
|
||||
Q 40 9685 16 0.000010963 18973581
|
||||
Q 39 10273 18 0.000011905 18983854
|
||||
Q 38 9515 18 0.000012847 18993369
|
||||
Q 37 9474 27 0.000014261 19002843
|
||||
Q 36 10430 25 0.000015568 19013273
|
||||
Q 35 9241 34 0.000017348 19022514
|
||||
Q 34 9162 31 0.000018968 19031676
|
||||
Q 33 10164 49 0.000021532 19041840
|
||||
Q 32 9152 55 0.000024408 19050992
|
||||
Q 31 9252 35 0.000026233 19060244
|
||||
Q 30 9872 55 0.000029103 19070116
|
||||
Q 29 8938 65 0.000032496 19079054
|
||||
Q 28 8951 73 0.000036306 19088005
|
||||
Q 27 9949 95 0.000041261 19097954
|
||||
Q 26 9784 97 0.000046316 19107738
|
||||
Q 25 10126 97 0.000051366 19117864
|
||||
Q 24 11260 123 0.000057765 19129124
|
||||
Q 23 10047 114 0.000063691 19139171
|
||||
Q 22 9661 123 0.000070083 19148832
|
||||
Q 21 10339 168 0.000078813 19159171
|
||||
Q 20 17928 193 0.000088804 19177099
|
||||
Q 19 9842 193 0.000098817 19186941
|
||||
Q 18 14737 247 0.000111605 19201678
|
||||
Q 17 10218 238 0.000123934 19211896
|
||||
Q 16 10271 242 0.000136457 19222167
|
||||
Q 15 12241 333 0.000153683 19234408
|
||||
Q 14 9189 336 0.000171070 19243597
|
||||
Q 13 9493 515 0.000197734 19253090
|
||||
Q 12 11502 743 0.000236185 19264592
|
||||
Q 11 8211 507 0.000262390 19272803
|
||||
Q 10 9133 606 0.000293695 19281936
|
||||
Q 9 10014 931 0.000341801 19291950
|
||||
Q 8 8436 698 0.000377816 19300386
|
||||
Q 7 8443 705 0.000414163 19308829
|
||||
Q 6 10203 944 0.000462808 19319032
|
||||
Q 5 6936 756 0.000501760 19325968
|
||||
Q 4 6732 843 0.000545190 19332700
|
||||
Q 3 8215 1104 0.000602040 19340915
|
||||
Q 2 21201 5440 0.000882342 19362116
|
||||
Q 1 82328 22186 0.002019600 19444444
|
||||
Q 0 553853 371953 0.020562901 19998297
|
||||
U 1703
|
||||
@@ -0,0 +1,225 @@
|
||||
\documentclass{bioinfo}
|
||||
\copyrightyear{2021}
|
||||
\pubyear{2021}
|
||||
|
||||
\usepackage{graphicx}
|
||||
\usepackage{hyperref}
|
||||
\usepackage{url}
|
||||
\usepackage{amsmath}
|
||||
\usepackage[ruled,vlined]{algorithm2e}
|
||||
\newcommand\mycommfont[1]{\footnotesize\rmfamily{\it #1}}
|
||||
\SetCommentSty{mycommfont}
|
||||
\SetKwComment{Comment}{$\triangleright$\ }{}
|
||||
|
||||
\usepackage{natbib}
|
||||
\bibliographystyle{apalike}
|
||||
|
||||
\DeclareMathOperator*{\argmax}{argmax}
|
||||
|
||||
\begin{document}
|
||||
\firstpage{1}
|
||||
|
||||
\title[Improvements to minimap2]{New strategies to improve minimap2 alignment accuracy}
|
||||
\author[Li]{Heng Li$^{1,2}$}
|
||||
\address{$^1$Dana-Farber Cancer Institute, 450 Brookline Ave, Boston, MA 02215, USA,
|
||||
$^2$Harvard Medical School, 10 Shattuck St, Boston, MA 02215, USA}
|
||||
|
||||
\maketitle
|
||||
|
||||
\begin{abstract}
|
||||
|
||||
\section{Summary:} We present several recent improvements to minimap2, a
|
||||
versatile pairwise aligner for nucleotide sequences. Now minimap2 v2.22 can
|
||||
more accurately map long reads to highly repetitive regions and align through
|
||||
insertions or deletions up to 100kb by default, addressing major weakness in
|
||||
minimap2 v2.18 or earlier.
|
||||
|
||||
\section{Availability and implementation:}
|
||||
\href{https://github.com/lh3/minimap2}{https://github.com/lh3/minimap2}
|
||||
|
||||
\section{Contact:} hli@ds.dfci.harvard.edu
|
||||
\end{abstract}
|
||||
|
||||
\section{Introduction}
|
||||
Minimap2~\citep{Li:2018ab} is widely used for maping long sequence
|
||||
reads and assembly contigs. \citet{Jain:2020aa} found minimap2 v2.18 or earlier occasionally
|
||||
misaligned reads from highly repetitive regions as minimap2 ignored seeds of
|
||||
high occurrence. They also noticed minimap2 may misplace reads with structural
|
||||
variations (SVs) in such regions~\citep{Jain2020.11.01.363887}. These
|
||||
misalignments have become a pressing issue in the advent of
|
||||
temolere-to-telomore human assembly~\citep{Miga:2020aa}. Meanwhile, old minimap2
|
||||
was unable to efficiently align long insertions/deletions (INDELs) and often
|
||||
breaks an alignment around variable-number tandem repeats (VNTRs). This has
|
||||
inspired new chaining algorithms~\citep{Li:2020aa,Ren:2021aa} which are not
|
||||
integrated into minimap2. Here we will describe recent efforts implemented
|
||||
in v2.19 through v2.22 to improve mapping results.
|
||||
|
||||
\begin{methods}
|
||||
\section{Methods}
|
||||
|
||||
\subsection{Rescuing high-occurrence $k$-mers}
|
||||
Minimap2 keeps all $k$-mer minimizers during indexing. Its original
|
||||
implementation only selected low-occurrence minimizers during mapping. The
|
||||
cutoff is a few hundred for mapping long reads against a human genome. If a
|
||||
read habors only a few or even no low-occurrence minimizers, it will fail
|
||||
chaining due to insufficient anchors.
|
||||
|
||||
To resolve this issue, we implemented a new heuristic to add additional
|
||||
minimizers. Suppose we are looking at two adjacent low-occurence $k$-mers
|
||||
located at position $x_1$ and $x_2$, respectively. If $|x_1-x_2|\ge500$,
|
||||
minimap2 v2.22 additionally selects $\lfloor|x_1-x_2|/500\rfloor$ minimizers
|
||||
of the lowest occurrence among minimizers between $x_1$ and $x_2$.
|
||||
We use a binary heap data
|
||||
structure to select minimizers of the lowest occurrence in this interval.
|
||||
This strategy adds necessary anchors at the cost of increasing total alignment
|
||||
time by a few percent on real data.
|
||||
|
||||
\subsection{Aligning through longer INDELs}
|
||||
The original minimap2 may fail to align long INDELs due to its chaining
|
||||
heuristics. Briefly, minimap2 applies dynamic programming (DP) to chain
|
||||
minimizer anchors. This is a quadratic algorithm, which is slow for chaining
|
||||
contigs. For acceptable performance, the original minimap2 uses a 500bp band by
|
||||
default. If there is an INDEL longer than 500bp and the two chains around the INDEL
|
||||
have no overlaps on either the query or the reference sequence, minimap2 may
|
||||
join the two short chains later at a later step. We call it the
|
||||
long-join heuristic. This heuristic may fail around VNTRs because short chains
|
||||
often have overlaps in VNTRs. More subtly, minimap2 may escape the inner DP
|
||||
loop early, again for performance, if the chaining result is not improved for
|
||||
50 iterations. When there is a copy number change in a long segmental
|
||||
duplication, the early escape may break around the event even if users
|
||||
specify a large band.
|
||||
|
||||
In minigraph~\citep{Li:2020aa}, we developed a new chaining algorithm that
|
||||
finds short INDELs with DP-based chaining and goes through long INDELs with a
|
||||
subquadratic algorithm~\citep{DBLP:conf/wabi/AbouelhodaO03}. We ported the same
|
||||
algorithm to minimap2 for contig mapping. For long-read mapping, the minigraph
|
||||
algorithm is slower. Minimap2 v2.22 now still uses the DP-based algorithm to
|
||||
find short chains and then invokes the minigraph algorithm to rechain anchors in
|
||||
these short chains. The rechaining step achieves the same goal as long-join
|
||||
but is more reliable as it can resolve overlaps between short chains. The old
|
||||
long-join heuristic has since been removed.
|
||||
|
||||
\subsection{Properly mapping long reads with SVs}
|
||||
The original minimap2 ranks an alignment by its Smith-Waterman score and
|
||||
outputs the best scoring alignment. However, when there are SVs on the read,
|
||||
the best scoring alignment is sometimes not the correct alignment.
|
||||
\citet{Jain2020.11.01.363887} resolved this dilemma by altering the mapping
|
||||
algorithm.
|
||||
|
||||
In our view, this problem is rooted in impropriate scoring: affine-gap penalty
|
||||
over-penalizes a long INDEL that was often evolutionarily created in one event.
|
||||
We should not penalize a SV linearly in its length. Minimap2 v2.22 rescores
|
||||
an alignment with the following scoring function. Suppose an alignment consists
|
||||
of $M$ matching bases, $N$ substitutions and $G$ gap opens, we empirically
|
||||
score the alignment with
|
||||
$$
|
||||
M-\frac{N+G}{2d}-\sum_{i=1}^G\log_2(1+g_i)
|
||||
$$
|
||||
where $g_i\ge1$ is the length of the $i$-th gap and
|
||||
$$
|
||||
d=\max\left\{\frac{N+G}{M+N+G},0.02\right\}
|
||||
$$
|
||||
Here $d$ approximates per-base sequence divergence with the smallest value set
|
||||
to 2\%. As an analogy to affine-gap scoring, the matching score in our scheme
|
||||
is 1, the mismatch and gap open penalties are both $1/2d$ and the gap extension
|
||||
penalty is a logarithm function of the gap length. Our scoring gives a long SV
|
||||
a much milder penalty. In terms of time complexity, scoring an alignment is
|
||||
linear in the length of the alignment. Time spent on rescoring is negligible in
|
||||
practice.
|
||||
|
||||
%If we assume sequences evolve under a duplication-mutation model, we may have a
|
||||
%better way to choose the best alignment. If a long read can be mapped to $n$
|
||||
%loci, we can take the read as the template and build a
|
||||
%pseudo-multi-sequence-alignment (pMSA) of $n+1$ sequences. In this pMSA, we say
|
||||
%a site on the read is informative if the $n$ reference subsequences differ at
|
||||
%the position.
|
||||
|
||||
\end{methods}
|
||||
|
||||
\section{Results}
|
||||
|
||||
\begin{table}
|
||||
\processtable{Evaluation of minimap2 v2.22}
|
||||
{\footnotesize\label{tab:1}\begin{tabular}{p{4.2cm}rrrr}
|
||||
\toprule
|
||||
$[$Benchmark$]$ Metric & v2.22 & v2.18 & Winno & lra \\
|
||||
\midrule
|
||||
$[$sim-map$]$ \% mapped reads at Q10 & 97.9 & 97.6 & {\bf 99.0} & 97.3 \\
|
||||
$[$sim-map$]$ err. rate at Q10 (phredQ) & {\bf 52} & {\bf 52} & 38 & 24 \\
|
||||
$[$winno-cmp$]$ rate of diff. (phredQ) & {\bf 41} & 37 & N/A & 18 \\
|
||||
$[$sim-sv$]$ \% false negative rate & {\bf 0.5} & 2.0 & {\bf 0.5} & 1.4 \\
|
||||
$[$sim-sv$]$ \% false discovery rate & {\bf 0.0} & 0.1 & {\bf 0.0} & 0.1 \\
|
||||
$[$real-sv-1k$]$ \% false negative rate & {\bf 7.3} & 20.0 & 13.0 & N/A \\
|
||||
$[$real-sv-1k$]$ \% false discovery rate & 2.7 & {\bf 2.4} & 2.7 & N/A \\
|
||||
\botrule
|
||||
\end{tabular}}
|
||||
{In $[$sim-map$]$, 152,713 reads were simulated from the CHM13 telomere-to-telomere assembly v1.1
|
||||
(AC: GCA\_009914755.3) with pbsim2~\citep{Ono:2021aa}: ``pbsim2 -{}-hmm\_model R94.model -{}-length-min
|
||||
5000 -{}-length-mean 20000 -{}-accuracy-mean 0.95''. Alignments of mapping quality
|
||||
10 or higher were evaluated by ``paftools.js mapeval''. The mapping error rate
|
||||
is measured in the phred scale: if the error rate is $e$, $-10\log_{10}e$ is
|
||||
reported in the table. In $[$winno-cmp$]$, 1.39 million CHM13 HiFi reads from
|
||||
SRR11292121 were mapped against CHM13. 99.3\% of them were mapped by Winnowmap2
|
||||
at mapping quality 10 or higher and were taken as ground truth to evaluate
|
||||
minimap2 and lra with ``paftools.js pafcmp''. $[$sim-sv$]$ simulated 1,000
|
||||
50bp to 1000bp INDELs from chr8 in CHM13 using SURVIVOR~\citep{Jeffares:2017aa} and simulated Nanopore
|
||||
reads at 30 folds with the same pbsim2 command line. SVs were called with
|
||||
``sniffles -q 10''~\citep{Sedlazeck:2018ab} and compared to the simulated truth with ``SURVIVOR eval
|
||||
call.vcf truth.bed 50''. In $[$real-sv-1k$]$, small and long variants were
|
||||
called by dipcall-0.3~\citep{Li:2018aa} for HG002 assemblies (AC: GCA\_018852605.1 and
|
||||
GCA\_018852615.1) and compared to the GIAB truth~\citep{Zook:2020aa} using ``truvari -r 2000 -s
|
||||
1000 -S 400 -{}-multimatch -{}-passonly'' which sets the minimum INDEL size to 1kb in evaluation. }
|
||||
\end{table}
|
||||
|
||||
We evaluated minimap2 v2.22 along with v2.18, Winnowmap2 v2.03 and lra v1.3.2
|
||||
(Table~\ref{tab:1}). Both versions of minimap2 achieved high mapping accuracy on
|
||||
simulated Nanopore reads (sim-map). Winnowmap2 aligned more reads at mapping
|
||||
quality 10 or higher (mapQ10). However, it may occasionally assign a high mapping
|
||||
quality to a read with multiple identical best alignments. This reduced its
|
||||
mapping accuracy.
|
||||
|
||||
In lack of groud truth for real data, so we took Winnowmap2 mapping as ground
|
||||
truth to evaluate other mappers (winno-cmp). Out of 1,378,092 reads with mapQ10
|
||||
alignments by Winnowmap2, minimap2 v2.22 could map all of them. 118 reads, less
|
||||
than 0.01\% of all reads, were mapped differently by v2.22. 51 of them have
|
||||
multiple identical best alignments. We believe these are more likely to be
|
||||
Winnowmap2 errors. Most of the remaining 67 (=118-51) reads have multiple
|
||||
highly similar but not identical alignments. We are not sure what are real
|
||||
mapping errors.
|
||||
|
||||
The two benchmarks above only evaluate read mappings without variations.
|
||||
To measure the mapping accuracy in the presence of SVs (sim-sv), we reproduced
|
||||
the results by~\citep{Jain2020.11.01.363887}. Minimap2 v2.22 is as good as
|
||||
Winnowmap2 now. Note that we were setting the Sniffles mapping quality
|
||||
threshold to 10 in consistent with the benchmarks above. If we used the
|
||||
default threshold 20, v2.22 would miss additional 0.5\% SVs, suggesting
|
||||
minimap2 v2.22 could map variant reads correctly but with conservative mapping
|
||||
quality. This observation is more about the interaction between mappers and
|
||||
callers. Furthermore, the simulation here only considers a simple scenario in
|
||||
evolution. Non-allelic gene conversions, which happen often in segmental
|
||||
duplications~\citep{Harpak:2017aa}, would obscure the optimal mapping
|
||||
strategies. How much such simple SV simulation informs real-world SV calling
|
||||
remains a question.
|
||||
|
||||
To see if minimap2 v2.22 could improve long INDEL alignment, we ran dipcall on
|
||||
contig-to-reference alignments and focused on INDELs longer than 1kb
|
||||
(real-sv-1k). v2.22 is more sensitive at comparable specificity, confirming its
|
||||
advantage in more contiguous alignment. lra is supposed to handle long INDELs
|
||||
better, too. However, we could not get lra to work well with dipcall, so did
|
||||
not report the numbers.
|
||||
|
||||
Minimap2 spends most computing time on base alignment. As recent improvements
|
||||
in v2.22 incur little additional computing and do not change the base alignment
|
||||
algorithm, the new version has similar performance to older verions. It is
|
||||
consistently faster than Winnowmap2 by several times. Sometimes simple
|
||||
heuristics can be as effective as more sophisticated yet slower solutions.
|
||||
|
||||
\section*{Acknowledgements}
|
||||
We thank Arang Rhie and Chirag Jain for providing motivating examples where
|
||||
older minimap2 underperforms.
|
||||
|
||||
\paragraph{Funding\textcolon} This work is funded by NHGRI grant R01HG010040.
|
||||
|
||||
\bibliography{minimap2}
|
||||
|
||||
\end{document}
|
||||
+12
-30
@@ -1,30 +1,12 @@
|
||||
Q 60 32066 0 0.000000000
|
||||
Q 40 32 1 0.000031155
|
||||
Q 38 19 1 0.000062272
|
||||
Q 36 11 1 0.000093376
|
||||
Q 35 32 1 0.000124378
|
||||
Q 33 15 1 0.000155400
|
||||
Q 32 58 1 0.000186145
|
||||
Q 27 11 1 0.000217095
|
||||
Q 26 80 1 0.000247494
|
||||
Q 21 19 2 0.000309186
|
||||
Q 20 16 1 0.000339936
|
||||
Q 19 19 1 0.000370622
|
||||
Q 18 22 2 0.000432099
|
||||
Q 17 37 5 0.000585751
|
||||
Q 15 24 2 0.000646930
|
||||
Q 14 18 3 0.000738939
|
||||
Q 13 30 6 0.000922821
|
||||
Q 12 18 1 0.000953054
|
||||
Q 11 29 2 0.001013638
|
||||
Q 10 30 1 0.001043393
|
||||
Q 9 20 5 0.001196099
|
||||
Q 8 25 8 0.001440348
|
||||
Q 7 28 6 0.001622830
|
||||
Q 6 35 12 0.001988132
|
||||
Q 5 34 12 0.002352725
|
||||
Q 4 29 8 0.002594865
|
||||
Q 3 36 14 0.003018937
|
||||
Q 2 46 15 0.003471482
|
||||
Q 1 69 36 0.004558162
|
||||
Q 0 167 94 0.007377173
|
||||
Q 60 32084 0 0.000000000 32084
|
||||
Q 24 318 2 0.000061725 32402
|
||||
Q 11 98 2 0.000123077 32500
|
||||
Q 8 37 2 0.000184405 32537
|
||||
Q 7 37 3 0.000276294 32574
|
||||
Q 6 40 3 0.000367940 32614
|
||||
Q 5 34 2 0.000428816 32648
|
||||
Q 4 37 5 0.000581306 32685
|
||||
Q 3 28 6 0.000764222 32713
|
||||
Q 2 38 6 0.000946536 32751
|
||||
Q 1 50 21 0.001585318 32801
|
||||
Q 0 286 150 0.006105117 33087
|
||||
|
||||
+13
-17
@@ -1,17 +1,13 @@
|
||||
Q 60 32072 0 0.000000000
|
||||
Q 43 206 1 0.000030981
|
||||
Q 27 201 1 0.000061578
|
||||
Q 15 59 1 0.000092200
|
||||
Q 12 25 1 0.000122839
|
||||
Q 11 16 1 0.000153473
|
||||
Q 10 24 1 0.000184032
|
||||
Q 9 17 2 0.000245248
|
||||
Q 8 27 3 0.000336938
|
||||
Q 7 23 1 0.000367309
|
||||
Q 6 20 1 0.000397675
|
||||
Q 5 18 4 0.000519751
|
||||
Q 4 17 1 0.000550038
|
||||
Q 3 29 5 0.000702204
|
||||
Q 2 32 4 0.000823522
|
||||
Q 1 54 6 0.001004872
|
||||
Q 0 234 106 0.004202697
|
||||
Q 60 32477 0 0.000000000 32477
|
||||
Q 22 16 1 0.000030776 32493
|
||||
Q 21 44 1 0.000061468 32537
|
||||
Q 19 73 1 0.000091996 32610
|
||||
Q 14 66 1 0.000122414 32676
|
||||
Q 10 26 3 0.000214054 32702
|
||||
Q 8 14 1 0.000244529 32716
|
||||
Q 7 13 2 0.000305539 32729
|
||||
Q 6 47 1 0.000335611 32776
|
||||
Q 3 10 1 0.000366010 32786
|
||||
Q 2 20 2 0.000426751 32806
|
||||
Q 1 248 94 0.003267381 33054
|
||||
Q 0 31 17 0.003778147 33085
|
||||
|
||||
+25
-17
@@ -14,7 +14,7 @@ set size 1.59,1.04
|
||||
set multiplot layout 1,2
|
||||
|
||||
set label "(a)" at graph -0.245,1.06 font "Helvetica-bold,40"
|
||||
set xlab "Error rate of mapped reads"
|
||||
set xlab "Error rate of mapped PacBio reads"
|
||||
set ylab "Fraction of mapped reads" off +1.8
|
||||
set ytics 0.02
|
||||
set yran [0.9:1]
|
||||
@@ -34,19 +34,27 @@ unset label
|
||||
set origin 0.8,0
|
||||
set size 0.79,1
|
||||
set label "(b)" at graph -0.245,1.06 font "Helvetica-bold,40"
|
||||
unset log
|
||||
unset format
|
||||
unset key
|
||||
set log y
|
||||
set ylab "Accumulative mapping error rate" off +0
|
||||
set xlab "Mapping quality"
|
||||
set yran [1e-5:0.1]
|
||||
set ytics 1e-5,0.1
|
||||
set format y "10^{%L}"
|
||||
set xran [60:0] reverse
|
||||
plot "<./eval2roc.pl blasr-mc.eval" u 1:2 w lp ls 4, \
|
||||
"<./eval2roc.pl bwa.eval" u 1:2 t "bwa-mem" w lp ls 2, \
|
||||
"<./eval2roc.pl graphmap.eval" u 1:2 t "graphmap" w lp ls 3, \
|
||||
"<./eval2roc.pl minialign.eval" u 1:2 t "minialign" w lp ls 1, \
|
||||
"<./eval2roc.pl mm2.eval" u 1:2 t "minimap2" w lp ls 6, \
|
||||
"<./eval2roc.pl ngmlr.eval" u 1:2 t "ngm-lr" w lp ls 5
|
||||
set xlab "Error rate of mapped short reads"
|
||||
|
||||
set key top left
|
||||
plot "<./eval2roc.pl -n2e7 bowtie2-s3.sam.eval" u 2:3 t "bowtie2" w lp ls 5, \
|
||||
"<./eval2roc.pl -n2e7 bwa-s3.sam.eval" u 2:3 t "bwa-mem" w lp ls 2, \
|
||||
"<./eval2roc.pl -n2e7 mm2-s3.sam.eval" u 2:3 t "minimap2" w lp ls 6, \
|
||||
"<./eval2roc.pl -n2e7 snap-s3.sam.eval" u 2:3 t "snap" w lp ls 3
|
||||
|
||||
#unset log
|
||||
#unset format
|
||||
#unset key
|
||||
#set log y
|
||||
#set ylab "Accumulative mapping error rate" off +0
|
||||
#set xlab "Mapping quality"
|
||||
#set yran [1e-5:0.1]
|
||||
#set ytics 1e-5,0.1
|
||||
#set format y "10^{%L}"
|
||||
#set xran [60:0] reverse
|
||||
#plot "<./eval2roc.pl blasr-mc.eval" u 1:2 w lp ls 4, \
|
||||
# "<./eval2roc.pl bwa.eval" u 1:2 t "bwa-mem" w lp ls 2, \
|
||||
# "<./eval2roc.pl graphmap.eval" u 1:2 t "graphmap" w lp ls 3, \
|
||||
# "<./eval2roc.pl minialign.eval" u 1:2 t "minialign" w lp ls 1, \
|
||||
# "<./eval2roc.pl mm2.eval" u 1:2 t "minimap2" w lp ls 6, \
|
||||
# "<./eval2roc.pl ngmlr.eval" u 1:2 t "ngm-lr" w lp ls 5
|
||||
|
||||
@@ -0,0 +1,62 @@
|
||||
Q 60 18993268 10320 0.000543350 18993268
|
||||
Q 59 33156 216 0.000553756 19026424
|
||||
Q 58 29982 295 0.000568365 19056406
|
||||
Q 57 9412 278 0.000582666 19065818
|
||||
Q 56 11012 228 0.000594281 19076830
|
||||
Q 55 9968 235 0.000606283 19086798
|
||||
Q 54 8602 292 0.000621301 19095400
|
||||
Q 53 6094 259 0.000634662 19101494
|
||||
Q 52 5026 257 0.000647946 19106520
|
||||
Q 51 4278 224 0.000659522 19110798
|
||||
Q 50 3682 178 0.000668708 19114480
|
||||
Q 49 2750 156 0.000676772 19117230
|
||||
Q 48 2314 112 0.000682548 19119544
|
||||
Q 47 2056 96 0.000687495 19121600
|
||||
Q 46 1658 62 0.000690677 19123258
|
||||
Q 45 1492 74 0.000694493 19124750
|
||||
Q 44 1150 56 0.000697379 19125900
|
||||
Q 43 1062 48 0.000699850 19126962
|
||||
Q 42 976 60 0.000702951 19127938
|
||||
Q 41 884 36 0.000704800 19128822
|
||||
Q 40 708 52 0.000707493 19129530
|
||||
Q 39 870 26 0.000708819 19130400
|
||||
Q 38 598 26 0.000710156 19130998
|
||||
Q 37 542 34 0.000711913 19131540
|
||||
Q 36 846 50 0.000714495 19132386
|
||||
Q 35 590 50 0.000717087 19132976
|
||||
Q 34 550 42 0.000719261 19133526
|
||||
Q 33 2174 66 0.000722628 19135700
|
||||
Q 32 876 86 0.000727089 19136576
|
||||
Q 31 638 104 0.000732500 19137214
|
||||
Q 30 1718 196 0.000742675 19138932
|
||||
Q 29 91022 968 0.000789497 19229954
|
||||
Q 28 12864 781 0.000829556 19242818
|
||||
Q 27 5806 427 0.000851489 19248624
|
||||
Q 26 25274 728 0.000888144 19273898
|
||||
Q 25 7418 680 0.000923070 19281316
|
||||
Q 24 11800 701 0.000958839 19293116
|
||||
Q 23 57328 3933 0.001159250 19350444
|
||||
Q 22 7662 846 0.001202494 19358106
|
||||
Q 21 5924 617 0.001233989 19364030
|
||||
Q 20 4623 574 0.001263330 19368653
|
||||
Q 19 4988 942 0.001311627 19373641
|
||||
Q 18 3968 793 0.001352282 19377609
|
||||
Q 17 3630 681 0.001387166 19381239
|
||||
Q 16 2921 513 0.001413422 19384160
|
||||
Q 15 2716 424 0.001435095 19386876
|
||||
Q 14 2366 365 0.001453744 19389242
|
||||
Q 13 2169 412 0.001474828 19391411
|
||||
Q 12 2077 360 0.001493233 19393488
|
||||
Q 11 2016 441 0.001515815 19395504
|
||||
Q 10 2292 738 0.001553682 19397796
|
||||
Q 9 4165 1832 0.001647772 19401961
|
||||
Q 8 3963 1862 0.001743385 19405924
|
||||
Q 7 3927 1793 0.001835408 19409851
|
||||
Q 6 3572 1639 0.001919497 19413423
|
||||
Q 5 3270 1533 0.001998126 19416693
|
||||
Q 4 3046 1610 0.002080718 19419739
|
||||
Q 3 251447 125550 0.008436553 19671186
|
||||
Q 2 24390 13537 0.009113417 19695576
|
||||
Q 1 124406 86780 0.013434624 19819982
|
||||
Q 0 171254 153874 0.021016609 19991236
|
||||
U 8764
|
||||
Reference in New Issue
Block a user