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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
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 preprint][preprint].
Detailed evaluations are available from the [minimap2 paper][doi] or the
[preprint][preprint].
### <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
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
@ -368,3 +370,4 @@ mappy` or [from BioConda][mappyconda] via `conda install -c bioconda mappy`.
[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