From d7b61a039eb66e936c8455db0c1436b94b35a08d Mon Sep 17 00:00:00 2001 From: Heng Li Date: Wed, 30 May 2018 11:11:55 -0400 Subject: [PATCH] updated citation --- README.md | 9 ++++++--- 1 file changed, 6 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 00a9740..1a0dc9e 100644 --- a/README.md +++ b/README.md @@ -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]. ### Installation @@ -318,9 +319,10 @@ There is not a specific mailing list for the time being. ### 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] ## 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