Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM
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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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The record
- Venue
- DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
- Topic
- Cell Image Analysis Techniques
- Field
- Biochemistry, Genetics and Molecular Biology
- Canadian institutions
- —
- Funders
- National Human Genome Research InstituteNational Institute of Allergy and Infectious DiseasesNatural Sciences and Engineering Research Council of CanadaComisión Nacional de Investigación Científica y TecnológicaDirectorate for Biological SciencesIsrael Institute for Biological ResearchJapan Society for the Promotion of ScienceCentre for Biotechnology and BioengineeringNational Institutes of HealthNational Science Foundation
- Keywords
- ContigSequence (biology)clone (Java method)Sequence assemblyComputational biologyGeneticsBiologyComputer scienceGenomeDNAGene
- Has abstract in OpenAlex
- yes