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Heng Li 2018-05-30 11:11:55 -04:00
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@ -61,7 +61,8 @@ 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 accurate on simulated long reads and produces biologically meaningful alignment
ready for downstream analyses. For >100bp Illumina short reads, minimap2 is 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. three times as fast as BWA-MEM and Bowtie2, and as accurate on simulated data.
Detailed evaluations are available from the [minimap2 preprint][preprint]. Detailed evaluations are available from the [minimap2 paper][doi] or the
[preprint][preprint].
### <a name="install"></a>Installation ### <a name="install"></a>Installation
@ -318,9 +319,10 @@ There is not a specific mailing list for the time being.
### <a name="cite"></a>Citing minimap2 ### <a name="cite"></a>Citing minimap2
If you use minimap2 in your work, please consider to cite: If you use minimap2 in your work, please cite:
> Li, H. (2017). Minimap2: fast pairwise alignment for long nucleotide sequences. [arXiv:1708.01492][preprint] > Li, H. (2018). Minimap2: pairwise alignment for nucleotide sequences.
> Bioinformatics. [doi:10.1093/bioinformatics/bty191][doi]
## <a name="dguide"></a>Developers' Guide ## <a name="dguide"></a>Developers' Guide
@ -368,3 +370,4 @@ mappy` or [from BioConda][mappyconda] via `conda install -c bioconda mappy`.
[k8]: https://github.com/attractivechaos/k8 [k8]: https://github.com/attractivechaos/k8
[manpage]: https://lh3.github.io/minimap2/minimap2.html [manpage]: https://lh3.github.io/minimap2/minimap2.html
[manpage-cs]: https://lh3.github.io/minimap2/minimap2.html#10 [manpage-cs]: https://lh3.github.io/minimap2/minimap2.html#10
[doi]: https://doi.org/10.1093/bioinformatics/bty191