Fast gapped-read alignment with Bowtie 2 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-04

AUTHORS

Ben Langmead, Steven L Salzberg

ABSTRACT

As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy. More... »

PAGES

357

Journal

TITLE

Nature Methods

ISSUE

4

VOLUME

9

Author Affiliations

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nmeth.1923

    DOI

    http://dx.doi.org/10.1038/nmeth.1923

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1006541515

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/22388286


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    152 McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
    153 rdf:type schema:Organization
     




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