Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM
Genomics
2013-05-28 v2
Abstract
Summary: BWA-MEM is a new alignment algorithm for aligning sequence reads or long query sequences against a large reference genome such as human. It automatically chooses between local and end-to-end alignments, supports paired-end reads and performs chimeric alignment. The algorithm is robust to sequencing errors and applicable to a wide range of sequence lengths from 70bp to a few megabases. For mapping 100bp sequences, BWA-MEM shows better performance than several state-of-art read aligners to date. Availability and implementation: BWA-MEM is implemented as a component of BWA, which is available at http://github.com/lh3/bwa. Contact: hengli@broadinstitute.org
Cite
@article{arxiv.1303.3997,
title = {Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM},
author = {Heng Li},
journal= {arXiv preprint arXiv:1303.3997},
year = {2013}
}
Comments
3 pages and 1 color figure