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31 Commits
Author SHA1 Message Date
Heng Li eecc06086f Released minimap2-2.7 (r654) 2018-01-09 13:16:00 -05:00
Heng Li dfea113f28 r653: the last change may write "N" wrongly 2018-01-08 11:33:53 -05:00
Heng Li 1842d7f5b5 allow to exclude regions 2018-01-07 22:35:56 -05:00
Heng Li f5cfd439ee r651: incorrectly treat introns as deletions
This happened when the last operation during backtracking is an intron.
2018-01-07 19:42:50 -05:00
Heng Li 248b43cc47 work with targets in BED12 2018-01-07 19:39:25 -05:00
Heng Li bf72969ab1 added a bed counter
I know there are tools for this purpose, but they don't quite meet my exact
need.
2018-01-07 15:19:18 -05:00
Heng Li 7b5a601d48 support paired-end reads
this gives unnecessary warnings, which will be fixed later.
2018-01-07 13:53:26 -05:00
Heng Li 405d531100 don't test python v3.3 2018-01-05 22:17:00 -05:00
Heng Li e9607fcd9b allow to convert read names
ONT read names are just too long and too hard to compress
2018-01-05 22:05:15 -05:00
Heng Li a465a920ec bug in block starts; added color and short-name 2018-01-05 21:45:56 -05:00
Heng Li b20839be77 more robust ID conversion 2018-01-05 17:55:24 -05:00
Heng Li 209beb9955 convert EnsEMBL to UCSC name (optional) 2018-01-05 17:41:18 -05:00
Heng Li cfe87f50c1 convert GTF/GFF3 to BED12 2018-01-05 17:10:43 -05:00
Heng Li 680b971bb0 deleted duplicated entries 2018-01-01 19:52:21 -05:00
Heng Li 6b0d3c1fa8 added PHONY and comments to makefile 2017-12-30 20:54:11 -05:00
Heng Li dc9e3dcf4a r639: changed -O/-E validation 2017-12-30 20:39:29 -05:00
Heng Li cc75c12905 r638: disabled scoring checking
I haven't figured out the exact bounds...
2017-12-30 07:50:40 -05:00
Heng Li f159e1c2d3 new section on HPC k-mers 2017-12-24 19:11:23 -05:00
Heng Li 3a375d3436 renamed paf2ovlp to ov-eval 2017-12-24 18:04:00 -05:00
Heng Li 626f10e0d0 evaluate sensitivity in the same script 2017-12-24 17:55:42 -05:00
Heng Li b997578078 find reads overlaps based on reference alignment 2017-12-24 17:20:27 -05:00
Heng Li ce8a48d715 fixed two minor typos in references 2017-12-24 13:14:47 -05:00
Heng Li 99879e9e75 a new section on estimating sequence divergence 2017-12-24 12:57:38 -05:00
Heng Li c969d1a1ce updated direct RNA-seq results; cite syndip
and a few minor changes
2017-12-24 11:06:17 -05:00
Heng Li fcac296c4a clarify ARM-NEON support in README 2017-12-18 23:01:44 -05:00
Heng Li e420b17496 r629: API to construct index from strings 2017-12-18 22:29:46 -05:00
Heng Li 23a846c594 Merge pull request #81 from hasindu2008/master
minimap2 on ARM processors
2017-12-16 09:40:41 -05:00
Hasindu Gamaarachchi 8995e2e078 added support for arm neon 2017-12-15 17:42:19 +11:00
Heng Li ab345e600b r626: function to check incorrect scoring system 2017-12-13 12:23:43 -05:00
Heng Li d003a00d71 r625: HPC sketch still has one minor issue 2017-12-13 09:40:42 -05:00
Heng Li ae85dcde76 added esterr.o dependencies 2017-12-13 09:01:48 -05:00
21 changed files with 2468 additions and 57 deletions
-4
View File
@@ -10,10 +10,6 @@ matrix:
python: "2.7"
before_install: pip install cython
script: python setup.py build_ext
- language: python
python: "3.3"
before_install: pip install cython
script: python setup.py build_ext
- language: python
python: "3.5"
before_install: pip install cython
+23
View File
@@ -6,12 +6,19 @@ PROG= minimap2
PROG_EXTRA= sdust minimap2-lite
LIBS= -lm -lz -lpthread
ifeq ($(arm_neon),)
ifeq ($(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
endif
else
OBJS+=ksw2_extz2_neon.o ksw2_extd2_neon.o ksw2_exts2_neon.o
CFLAGS+=-D_FILE_OFFSET_BITS=64 -mfpu=neon -fsigned-char
INCLUDES+=-I sse2neon
endif
.PHONY:all extra clean depend
.SUFFIXES:.c .o
.c.o:
@@ -33,6 +40,8 @@ libminimap2.a:$(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
# SSE-specific targets on x86/x86_64
ksw2_extz2_sse41.o:ksw2_extz2_sse.c ksw2.h kalloc.h
$(CC) -c -msse4 $(CFLAGS) $(CPPFLAGS) -DKSW_CPU_DISPATCH $(INCLUDES) $< -o $@
@@ -54,6 +63,19 @@ ksw2_exts2_sse2.o:ksw2_exts2_sse.c ksw2.h kalloc.h
ksw2_dispatch.o:ksw2_dispatch.c ksw2.h
$(CC) -c $(CFLAGS) $(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 build dist mappy.so mappy.c python/mappy.c mappy.egg*
@@ -65,6 +87,7 @@ depend:
align.o: minimap.h mmpriv.h bseq.h ksw2.h kalloc.h
bseq.o: bseq.h kvec.h kalloc.h kseq.h
chain.o: minimap.h mmpriv.h bseq.h kalloc.h
esterr.o: mmpriv.h minimap.h bseq.h
example.o: minimap.h kseq.h
format.o: kalloc.h mmpriv.h minimap.h bseq.h
getopt.o: getopt.h
+25
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@@ -1,3 +1,28 @@
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)
-----------------------------------
+9 -5
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@@ -65,18 +65,21 @@ Detailed evaluations are available from the [minimap2 preprint][preprint].
### <a name="install"></a>Installation
Minimap2 only works on x86-64 CPUs. You can acquire precompiled binaries from
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/v2.6/minimap2-2.6_x64-linux.tar.bz2 \
curl -L https://github.com/lh3/minimap2/releases/download/v2.7/minimap2-2.7_x64-linux.tar.bz2 \
| tar -jxvf -
./minimap2-2.6_x64-linux/minimap2
./minimap2-2.7_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.
Minimap2 also works with ARM CPUs supporting the NEON instruction sets. To
compile, use `make arm_neon=1`.
### <a name="general"></a>General usage
Without any options, minimap2 takes a reference database and a query sequence
@@ -352,8 +355,9 @@ mappy` or [from BioConda][mappyconda] via `conda install -c bioconda mappy`.
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 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 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.
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
+7
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@@ -210,6 +210,13 @@ static void mm_align_pair(void *km, const mm_mapopt_t *opt, int qlen, const uint
ksw_extz2_sse(km, qlen, qseq, tlen, tseq, 5, mat, opt->q, opt->e, w, zdrop, end_bonus, flag, ez);
else
ksw_extd2_sse(km, qlen, qseq, tlen, tseq, 5, mat, opt->q, opt->e, opt->q2, opt->e2, w, zdrop, end_bonus, flag, ez);
if (mm_dbg_flag & MM_DBG_PRINT_ALN_SEQ) {
int i;
fprintf(stderr, "score=%d, cigar=", ez->score);
for (i = 0; i < ez->n_cigar; ++i)
fprintf(stderr, "%d%c", ez->cigar[i]>>4, "MIDN"[ez->cigar[i]&0xf]);
fprintf(stderr, "\n");
}
}
static inline int mm_get_hplen_back(const mm_idx_t *mi, uint32_t rid, uint32_t x)
+44 -1
View File
@@ -329,7 +329,7 @@ mm_idx_t *mm_idx_gen(mm_bseq_file_t *fp, int w, int k, int b, int flag, int mini
return pl.mi;
}
mm_idx_t *mm_idx_build(const char *fn, int w, int k, int flag, int n_threads) // a simpler interface
mm_idx_t *mm_idx_build(const char *fn, int w, int k, int flag, int n_threads) // a simpler interface; deprecated
{
mm_bseq_file_t *fp;
mm_idx_t *mi;
@@ -340,6 +340,49 @@ mm_idx_t *mm_idx_build(const char *fn, int w, int k, int flag, int n_threads) //
return mi;
}
mm_idx_t *mm_idx_str(int w, int k, int is_hpc, int bucket_bits, int n, const char **seq, const char **name)
{
uint64_t sum_len = 0;
mm128_v a = {0,0,0};
mm_idx_t *mi;
int i, flag = 0;
if (n <= 0) return 0;
for (i = 0; i < n; ++i) // get the total length
sum_len += strlen(seq[i]);
if (is_hpc) flag |= MM_I_HPC;
if (name == 0) flag |= MM_I_NO_NAME;
if (bucket_bits < 0) bucket_bits = 14;
mi = mm_idx_init(w, k, bucket_bits, flag);
mi->n_seq = n;
mi->seq = (mm_idx_seq_t*)kcalloc(mi->km, n, sizeof(mm_idx_seq_t)); // ->seq is allocated from km
mi->S = (uint32_t*)calloc((sum_len + 7) / 8, 4);
for (i = 0, sum_len = 0; i < n; ++i) {
const char *s = seq[i];
mm_idx_seq_t *p = &mi->seq[i];
uint32_t j;
if (name && name[i]) {
p->name = (char*)kmalloc(mi->km, strlen(name[i]) + 1);
strcpy(p->name, name[i]);
}
p->offset = sum_len;
p->len = strlen(s);
for (j = 0; j < p->len; ++j) {
int c = seq_nt4_table[(uint8_t)s[j]];
uint64_t o = sum_len + j;
mm_seq4_set(mi->S, o, c);
}
sum_len += p->len;
if (p->len > 0) {
a.n = 0;
mm_sketch(0, s, p->len, w, k, i, is_hpc, &a);
mm_idx_add(mi, a.n, a.a);
}
}
free(a.a);
mm_idx_post(mi, 1);
return mi;
}
/*************
* index I/O *
*************/
+4 -4
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@@ -116,7 +116,7 @@ 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;
@@ -138,11 +138,11 @@ static inline void ksw_backtrack(void *km, int is_rot, int is_rev, int with_N, c
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 if (state == 1 || (state == 3 && min_intron_len <= 0)) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, 2, 1), --i; // deletion
else if (state == 3 && min_intron_len > 0) 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 (i >= 0) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, 2, i + 1); // first deletion
if (i >= 0) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, min_intron_len > 0 && i >= min_intron_len? 3 : 2, i + 1); // first deletion
if (j >= 0) cigar = ksw_push_cigar(km, &n_cigar, &m_cigar, cigar, 1, j + 1); // first insertion
if (!is_rev)
for (i = 0; i < n_cigar>>1; ++i) // reverse CIGAR
+2 -2
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@@ -367,9 +367,9 @@ 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);
}
}
+4 -2
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@@ -6,7 +6,7 @@
#include "mmpriv.h"
#include "getopt.h"
#define MM_VERSION "2.6-r623"
#define MM_VERSION "2.7-r654"
#ifdef __linux__
#include <sys/resource.h>
@@ -134,7 +134,7 @@ int main(int argc, char *argv[])
else if (c == 0 && long_idx == 6) mm_dbg_flag |= MM_DBG_PRINT_QNAME | MM_DBG_PRINT_SEED, n_threads = 1; // --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 == 9) mm_dbg_flag |= MM_DBG_PRINT_QNAME | MM_DBG_PRINT_ALN_SEQ, n_threads = 1; // --print-aln-seq
else if (c == 0 && long_idx ==10) opt.flag |= MM_F_SPLICE; // --splice
else if (c == 0 && long_idx ==12) opt.flag |= MM_F_NO_LJOIN; // --no-long-join
else if (c == 0 && long_idx ==13) opt.flag |= MM_F_SR; // --sr
@@ -202,6 +202,8 @@ int main(int argc, char *argv[])
}
if (!fnw && !(opt.flag&MM_F_CIGAR))
ipt.flag |= MM_I_NO_SEQ;
if (mm_check_opt(&ipt, &opt) < 0)
return 1;
if (argc == optind || fp_help == stdout) {
fprintf(fp_help, "Usage: minimap2 [options] <target.fa>|<target.idx> [query.fa] [...]\n");
+15
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@@ -115,6 +115,21 @@ int mm_set_opt(const char *preset, mm_idxopt_t *io, mm_mapopt_t *mo)
return 0;
}
int mm_check_opt(const mm_idxopt_t *io, const mm_mapopt_t *mo)
{
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;
}
return 0;
}
typedef struct {
uint32_t n;
uint32_t qpos;
+16
View File
@@ -155,6 +155,7 @@ extern double mm_realtime0; // wall-clock timer
* @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);
/**
* Update mm_mapopt_t::mid_occ via mm_mapopt_t::mid_occ_frac
@@ -207,6 +208,21 @@ void mm_idx_reader_close(mm_idx_reader_t *r);
int mm_idx_reader_eof(const mm_idx_reader_t *r);
/**
* 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
*
+1 -1
View File
@@ -1,4 +1,4 @@
.TH minimap2 1 "12 December 2017" "minimap2-2.6 (r623)" "Bioinformatics tools"
.TH minimap2 1 "9 January 2018" "minimap2-2.7 (r654)" "Bioinformatics tools"
.SH NAME
.PP
minimap2 - mapping and alignment between collections of DNA sequences
+258
View File
@@ -0,0 +1,258 @@
/*******************************
* 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.dedup = 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][0] != a[i][0] || a[k][1] != a[i][1])
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 *
*****************/
function read_bed(fn, to_merge, to_dedup)
{
var file = new File(fn);
var buf = new Bytes();
var h = {};
while (file.readline(buf) >= 0) {
var t = buf.toString().split("\t");
if (h[t[0]] == null)
h[t[0]] = [];
var bst = parseInt(t[1]);
var ben = parseInt(t[2]);
if (t.length >= 12 && /^\d+$/.test(t[9])) {
t[9] = parseInt(t[9]);
var sz = t[10].split(",");
var st = t[11].split(",");
for (var i = 0; i < t[9]; ++i) {
st[i] = parseInt(st[i]);
sz[i] = parseInt(sz[i]);
h[t[0]].push([bst + st[i], bst + st[i] + sz[i], 0, 0, 0]);
}
} else {
h[t[0]].push([bst, ben, 0, 0, 0]);
}
}
buf.destroy();
file.close();
for (var chr in h) {
if (to_merge) Interval.merge(h[chr], false);
else if (to_dedup) Interval.dedup(h[chr], false);
else Interval.sort(h[chr]);
Interval.index_end(h[chr]);
}
return h;
}
function main(args)
{
var c, print_len = false, to_merge = true, to_dedup = false, fn_excl = null;
while ((c = getopt(args, "pde:")) != null) {
if (c == 'p') print_len = true;
else if (c == 'd') to_dedup = true, to_merge = false;
else if (c == 'e') fn_excl = getopt.arg;
}
if (args.length - getopt.ind < 2) {
print("Usage: k8 cnt-feat.js [options] <target.bed> <feature.bed>");
print("Options:");
print(" -e FILE exclude features overlapping regions in BED FILE []");
print(" -p print number of covered bases for each feature");
exit(1);
}
var excl = fn_excl != null? read_bed(fn_excl, true, false) : null;
var target = read_bed(args[getopt.ind], to_merge, to_dedup);
var file, buf = new Bytes();
var tot_len = 0, hit_len = 0;
file = args[getopt.ind+1] != '-'? new File(args[getopt.ind+1]) : new File();
while (file.readline(buf) >= 0) {
var t = buf.toString().split("\t");
var a = [];
var bst = parseInt(t[1]);
var ben = parseInt(t[2]);
if (t.length >= 12 && /^\d+$/.test(t[9])) { // BED12
t[9] = parseInt(t[9]);
var sz = t[10].split(",");
var st = t[11].split(",");
for (var i = 0; i < t[9]; ++i) {
st[i] = parseInt(st[i]);
sz[i] = parseInt(sz[i]);
a.push([bst + st[i], bst + st[i] + sz[i], false]);
}
} else a.push([bst, ben, false]); // 3-column BED
var feat_len = 0;
for (var i = 0; i < a.length; ++i) {
if (excl != null && excl[t[0]] != null) {
var oe = Interval.find_ovlp(excl[t[0]], a[i][0], a[i][1]);
if (oe.length > 0)
continue;
}
a[i][2] = true;
feat_len += a[i][1] - a[i][0];
}
tot_len += feat_len;
if (target[t[0]] == null) continue;
var b = [];
for (var i = 0; i < a.length; ++i) {
if (!a[i][2]) continue;
var o = Interval.find_ovlp(target[t[0]], a[i][0], a[i][1]);
for (var j = 0; j < o.length; ++j) {
var max_st = o[j][0] > a[i][0]? o[j][0] : a[i][0];
var min_en = o[j][1] < a[i][1]? o[j][1] : a[i][1];
b.push([max_st, min_en]);
o[j][2] += min_en - max_st;
++o[j][3];
if (max_st == o[j][0] && min_en == o[j][1])
++o[j][4];
}
}
// find the length covered
var feat_hit_len = 0;
if (b.length > 0) {
b.sort(function(a,b) {return a[0]-b[0]});
var st = b[0][0], en = b[0][1];
for (var i = 1; i < b.length; ++i) {
if (b[i][0] <= en) en = en > b[i][1]? en : b[i][1];
else feat_hit_len += en - st, st = b[i][0], en = b[i][1];
}
feat_hit_len += en - st;
}
hit_len += feat_hit_len;
if (print_len) print('F', t.slice(0, 4).join("\t"), feat_len, feat_hit_len);
}
file.close();
buf.destroy();
warn("# feature bases: " + tot_len);
warn("# feature bases overlapping targets: " + hit_len + ' (' + (100.0 * hit_len / tot_len).toFixed(2) + '%)');
}
main(arguments);
+150
View File
@@ -0,0 +1,150 @@
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, fn_ucsc_fai = null, is_short = false;
while ((c = getopt(arguments, "u:s")) != null) {
if (c == 'u') fn_ucsc_fai = getopt.arg;
else if (c == 's') is_short = true;
}
if (getopt.ind == arguments.length) {
print("Usage: k8 gff2bed.js [-u ucsc-genome.fa.fai] <in.gff>");
exit(1);
}
var ens2ucsc = {};
if (fn_ucsc_fai != null) {
var buf = new Bytes();
var file = new File(fn_ucsc_fai);
while (file.readline(buf) >= 0) {
var t = buf.toString().split("\t");
var s = t[0];
if (/_(random|alt|decoy)$/.test(s)) {
s = s.replace(/_(random|alt|decoy)$/, '');
s = s.replace(/^chr\S+_/, '');
} else {
s = s.replace(/^chrUn_/, '');
}
s = s.replace(/v(\d+)/, ".$1");
if (s != t[0]) ens2ucsc[s] = t[0];
}
file.close();
buf.destroy();
}
var colors = {
'protein_coding':'0,128,255',
'lincRNA':'0,192,0',
'snRNA':'0,192,0',
'miRNA':'0,192,0',
'misc_RNA':'0,192,0'
};
function print_bed12(exons, cds_st, cds_en, is_short)
{
if (exons.length == 0) return;
var name = is_short? exons[0][7] + "|" + exons[0][5] : exons[0].slice(4, 7).join("|");
var a = exons.sort(function(a,b) {return a[1]-b[1]});
var sizes = [], starts = [], st, en;
st = a[0][1];
en = a[a.length - 1][2];
if (cds_st == 1<<30) cds_st = st;
if (cds_en == 0) cds_en = en;
if (cds_st < st || cds_en > en)
throw Error("inconsistent thick start or end for transcript " + a[0][4]);
for (var i = 0; i < a.length; ++i) {
sizes.push(a[i][2] - a[i][1]);
starts.push(a[i][1] - st);
}
var color = colors[a[0][5]];
if (color == null) color = '196,196,196';
print(a[0][0], st, en, name, 1000, a[0][3], cds_st, cds_en, color, a.length, sizes.join(",") + ",", starts.join(",") + ",");
}
var re_gtf = /(transcript_id|transcript_type|transcript_biotype|gene_name|transcript_name) "([^"]+)";/g;
var re_gff3 = /(transcript_id|transcript_type|transcript_biotype|gene_name|transcript_name)=([^;]+)/g;
var buf = new Bytes();
var file = new File(arguments[getopt.ind]);
var exons = [], cds_st = 1<<30, cds_en = 0, last_id = null;
while (file.readline(buf) >= 0) {
var t = buf.toString().split("\t");
if (t[0].charAt(0) == '#') continue;
if (t[2] != "CDS" && t[2] != "exon") continue;
t[3] = parseInt(t[3]) - 1;
t[4] = parseInt(t[4]);
var id = null, type = "", gname = "N/A", biotype = "", m, tname = "N/A";
while ((m = re_gtf.exec(t[8])) != null) {
if (m[1] == "transcript_id") id = m[2];
else if (m[1] == "transcript_type") type = m[2];
else if (m[1] == "transcript_biotype") biotype = m[2];
else if (m[1] == "gene_name") name = m[2];
else if (m[1] == "transcript_name") tname = m[2];
}
while ((m = re_gff3.exec(t[8])) != null) {
if (m[1] == "transcript_id") id = m[2];
else if (m[1] == "transcript_type") type = m[2];
else if (m[1] == "transcript_biotype") biotype = m[2];
else if (m[1] == "gene_name") name = m[2];
else if (m[1] == "transcript_name") tname = m[2];
}
if (type == "" && biotype != "") type = biotype;
if (id == null) throw Error("No transcript_id");
if (id != last_id) {
print_bed12(exons, cds_st, cds_en, is_short);
exons = [], cds_st = 1<<30, cds_en = 0;
last_id = id;
}
if (t[2] == "CDS") {
cds_st = cds_st < t[3]? cds_st : t[3];
cds_en = cds_en > t[4]? cds_en : t[4];
} else if (t[2] == "exon") {
if (fn_ucsc_fai != null) {
if (ens2ucsc[t[0]] != null)
t[0] = ens2ucsc[t[0]];
else if (/^[A-Z]+\d+\.\d+$/.test(t[0]))
t[0] = t[0].replace(/([A-Z]+\d+)\.(\d+)/, "chrUn_$1v$2");
}
exons.push([t[0], t[3], t[4], t[6], id, type, name, tname]);
}
}
if (last_id != null)
print_bed12(exons, cds_st, cds_en, is_short);
file.close();
buf.destroy();
+105
View File
@@ -0,0 +1,105 @@
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, min_ovlp = 2000, min_frac = 0.95, min_mapq = 10;
while ((c = getopt(arguments, "q:l:f:")) != null) {
if (c == 'q') min_mapq = parseInt(getopt.arg);
else if (c == 'l') min_ovlp = parseInt(getopt.arg);
else if (c == 'f') min_frac = parseFloat(getopt.arg);
}
if (arguments.length - getopt.ind < 2) {
print("Usage: sort -k6,6 -k8,8n to-ref.paf | k8 ov-eval.js [options] - <ovlp.paf>");
print("Options:");
print(" -l INT min overlap length [2000]");
print(" -q INT min mapping quality [10]");
print(" -f FLOAT min fraction of mapped length [0.95]");
exit(1);
}
var buf = new Bytes();
var file = arguments[getopt.ind] == '-'? new File() : new File(arguments[getopt.ind]);
var a = [], h = {};
while (file.readline(buf) >= 0) {
var t = buf.toString().split("\t");
var is_pri = false;
if (parseInt(t[11]) < min_mapq) continue;
for (var i = 12; i < t.length; ++i)
if (t[i] == 'tp:A:P')
is_pri = true;
if (!is_pri) continue;
for (var i = 1; i <= 3; ++i)
t[i] = parseInt(t[i]);
for (var i = 6; i <= 8; ++i)
t[i] = parseInt(t[i]);
if (t[3] - t[2] < min_ovlp || t[8] - t[7] < min_ovlp || (t[3] - t[2]) / t[1] < min_frac)
continue;
var ctg = t[5], st = t[7], en = t[8];
while (a.length > 0) {
if (a[0][0] == ctg && a[0][2] > st)
break;
else a.shift();
}
for (var j = 0; j < a.length; ++j) {
if (a[j][3] == t[0]) continue;
var len = (en > a[j][2]? a[j][2] : en) - st;
if (len >= min_ovlp) {
var key = a[j][3] < t[0]? a[j][3] + "\t" + t[0] : t[0] + "\t" + a[j][3];
h[key] = len;
}
}
a.push([ctg, st, en, t[0]]);
}
file.close();
file = new File(arguments[getopt.ind + 1]);
while (file.readline(buf) >= 0) {
var t = buf.toString().split("\t");
var key = t[0] < t[5]? t[0] + "\t" + t[5] : t[5] + "\t" + t[0];
if (h[key] > 0) h[key] = -h[key];
}
file.close();
buf.destroy();
var n_ovlp = 0, n_missing = 0;
for (var key in h) {
++n_ovlp;
if (h[key] > 0) ++n_missing;
}
print(n_ovlp + " overlaps inferred from the reference mapping");
print(n_missing + " missed by the read overlapper");
print((100 * (1 - n_missing / n_ovlp)).toFixed(2) + "% sensitivity");
+25 -4
View File
@@ -60,15 +60,29 @@ function print_lines(a, fmt) {
function main(args) {
var re = /(\d+)([MIDNSH])/g;
var c, fmt = "bed";
while ((c = getopt(args, "f:")) != null) {
var c, fmt = "bed", fn_name_conv = null;
while ((c = getopt(args, "f:n:")) != null) {
if (c == 'f') fmt = getopt.arg;
else if (c == 'n') fn_name_conv = getopt.arg;
}
if (getopt.ind == args.length) {
warn("Usage: k8 splice2bed.js <in.paf>");
exit(1);
}
var conv = null;
if (fn_name_conv != null) {
conv = new Map();
var file = new File(fn_name_conv);
var buf = new Bytes();
while (file.readline(buf) >= 0) {
var t = buf.toString().split("\t");
conv.put(t[0], t[1]);
}
buf.destroy();
file.close();
}
var file = new File(args[getopt.ind]);
var buf = new Bytes();
var a = [];
@@ -77,11 +91,17 @@ function main(args) {
if (line.charAt(0) == '@') continue; // skip SAM header lines
var t = line.split("\t");
var is_pri = false, cigar = null, a1;
var qname = conv != null? conv.get(t[0]) : null;
if (qname != null) t[0] = qname;
if (t.length >= 10 && t[4] != '+' && t[4] != '-' && /^\d+/.test(t[1])) { // SAM
var flag = parseInt(t[1]);
if (flag&1) t[0] += '/' + (flag>>6&3);
}
if (a.length && a[0][3] != t[0]) {
print_lines(a, fmt);
a = [];
}
if (t.length >= 12 && (t[4] == '+' || t[4] == '-')) {
if (t.length >= 12 && (t[4] == '+' || t[4] == '-')) { // PAF
for (var i = 12; i < t.length; ++i) {
if (t[i].substr(0, 5) == 'cg:Z:') {
cigar = t[i].substr(5);
@@ -90,7 +110,7 @@ function main(args) {
}
}
a1 = [t[5], t[7], t[8], t[0], Math.floor(t[9]/t[10]*1000), t[4]];
} else if (t.length >= 10) {
} else if (t.length >= 10) { // SAM
var flag = parseInt(t[1]);
if ((flag&4) || a[2] == '*') continue;
cigar = t[5];
@@ -122,6 +142,7 @@ function main(args) {
print_lines(a, fmt);
buf.destroy();
file.close();
if (conv != null) conv.destroy();
}
main(arguments);
+1 -1
View File
@@ -23,7 +23,7 @@ def readme():
setup(
name = 'mappy',
version = '2.6',
version = '2.7',
url = 'https://github.com/lh3/minimap2',
description = 'Minimap2 python binding',
long_description = readme(),
+8 -8
View File
@@ -113,26 +113,26 @@ void mm_sketch(void *km, const char *str, int len, int w, int k, uint32_t rid, i
}
} 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 && buf[j].y != UINT64_MAX) kv_push(mm128_t, km, *p, buf[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 && buf[j].y != UINT64_MAX) kv_push(mm128_t, km, *p, buf[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 && min.y != UINT64_MAX) 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 && buf[j].y != UINT64_MAX) kv_push(mm128_t, km, *p, buf[j]);
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)
if (min.x == buf[j].x && min.y != buf[j].y && buf[j].y != UINT64_MAX) kv_push(mm128_t, km, *p, buf[j]);
if (min.x == buf[j].x && min.y != buf[j].y) kv_push(mm128_t, km, *p, buf[j]);
}
}
if (++buf_pos == w) buf_pos = 0;
+1689
View File
File diff suppressed because it is too large Load Diff
+17 -9
View File
@@ -268,18 +268,10 @@
Title = {Mason -- a read simulator for second generation sequencing data},
Year = {2010}}
@article{Langmead:2012fk,
Author = {Langmead, Ben and Salzberg, Steven L},
Journal = {Nat Methods},
Pages = {357-9},
Title = {Fast gapped-read alignment with Bowtie 2},
Volume = {9},
Year = {2012}}
@article{Zaharia:2011aa,
Author = {Zaharia, Matei and others},
Journal = {arXiv:1111:5572},
Title = {Faster and More Accurate Sequence Alignment with SNAP},
Title = {Faster and More Accurate Sequence Alignment with {SNAP}},
Year = {2011}}
@article{Irimia:2008aa,
@@ -305,3 +297,19 @@
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}}
+65 -16
View File
@@ -13,7 +13,6 @@
\usepackage{natbib}
\bibliographystyle{apalike}
\usepackage{hyperref}
\DeclareMathOperator*{\argmax}{argmax}
@@ -138,7 +137,7 @@ $h=50$; 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
@@ -157,6 +156,53 @@ 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.
\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, 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 ONT reads, though.
\subsection{Aligning genomic DNA}\label{sec:genomic}
\subsubsection{Alignment with 2-piece affine gap cost}
@@ -397,7 +443,7 @@ consistent paired-end alignments.
\section{Results}
\subsection{Aligning long genomic reads}
\subsection{Aligning long genomic reads}\label{sec:long-genomic}
\begin{figure}[!tb]
\centering
@@ -500,14 +546,18 @@ 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.
On a private Nanopore Direct RNA data set with $\sim$17\% sequencing error rate
(N. Loman, personal communication), minimap2 aligned 96\,467 introns
from 37\,068 mapped reads with 95.4\% of them consistent with human gene
annotations. In comparison, only 74.8\% of GMAP introns found in known gene
annotations.
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
@@ -551,8 +601,7 @@ 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
data set
(\href{https://github.com/lh3/CHM-eval}{https://github.com/lh3/CHM-eval}) for
dataset~\citep{Li223297} for
ERR1341796. In this evaluation, minimap2 has higher SNP false negative rate
(FNR; 2.5\% of minimap2 vs 2.2\% of BWA-MEM), but fewer false positive SNPs per
million bases (FPPM; 3.0 vs 3.9), lower 2--50bp INDEL FNR (7.3\% vs 7.5\%) and
@@ -597,7 +646,7 @@ 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
some highly repetitive seeds without affecting the final accuracy. This further
highly repetitive seeds without affecting the final accuracy. This further
alleviates the concern with the uniqueness of seeds. Hash table is the ideal
data structure for mapping long query sequences.
@@ -605,8 +654,8 @@ data structure for mapping long query sequences.
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 early minimap2 testers who have greatly helped
to suggest features and to fix various issues.
BWA-MEM. We are also grateful to minimap2 users who have greatly helped to
suggest features and to fix various issues.
\bibliography{minimap2}