Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM
2013/03/16 by Heng Li, Li, Heng · 2 voices · 312 citations
Biochemistry, Genetics and Molecular Biology · #Cell Image Analysis Techniques #FOS: Biological sciences #Genomics (q-bio.GN) #Genomics and Phylogenetic Studies #Viral Infectious Diseases and Gene Expression in Insects #q-bio.GN
paper · pdf · doi:10.48550/arxiv.1303.3997
3 pages and 1 color figure
openalex publication_date 2013/03/16 · arxiv published 2013/03/16 · arxiv created 2013/05/26 · arxiv updated 2013/05/26 · openalex created_date 2024/04/11 · openalex updated_date 2026/08/01
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: [email protected]
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