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Release minimap2-2.19 (r1055)

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Heng Li
2021-05-26 21:01:03 -04:00
parent e74dfd1aa9
commit ef09ccf104
8 changed files with 50 additions and 14 deletions
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README.md
+4 -7
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@@ -14,8 +14,8 @@ cd minimap2 && make
# 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 asm20 ref.fa pacbio-ccs.fq.gz > aln.sam # PacBio HiFi/CCS genomic reads (v2.18)
./minimap2 -ax map-hifi ref.fa pacbio-ccs.fq.gz > aln.sam # PacBio HiFi/CCS genomic reads (GitHub HEAD)
./minimap2 -ax map-hifi ref.fa pacbio-ccs.fq.gz > aln.sam # PacBio HiFi/CCS genomic reads (v2.19 or lateer)
./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
@@ -27,9 +27,6 @@ cd minimap2 && make
# man page for detailed command line options
man ./minimap2.1
```
[Unimap][unimap] is recommended 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.
## Table of Contents
@@ -77,8 +74,8 @@ Detailed evaluations are available from the [minimap2 paper][doi] or the
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/v2.18/minimap2-2.18_x64-linux.tar.bz2 | tar -jxvf -
./minimap2-2.18_x64-linux/minimap2
curl -L https://github.com/lh3/minimap2/releases/download/v2.19/minimap2-2.19_x64-linux.tar.bz2 | tar -jxvf -
./minimap2-2.19_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