Maqola

HISAT: a fast spliced aligner with low memory requirements

Daehwan Kim1] Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. [2] Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USABen Langmead1] Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. [2] Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA. [3] Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, USASteven L. Salzberg1] Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA. [2] Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA. [3] Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, USA

2015en

ABI

Annotatsiya

Annotatsiya mavjud emas.

Identifikatorlar

DOI: 10.1038/nmeth.3317

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