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Title:
Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM
Authors:
Li, Heng
Publication:
eprint arXiv:1303.3997
Publication Date:
03/2013
Origin:
ARXIV
Keywords:
Quantitative Biology - Genomics
Comment:
3 pages and 1 color figure
Bibliographic Code:
2013arxiv1303.3997l

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
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