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HISAT: Hierarchical Indexing for Spliced Alignment of Transcripts
View ORCID ProfileDaehwan Kim, View ORCID ProfileBen Langmead, View ORCID ProfileSteven L. Salzberg
doi: https://doi.org/10.1101/012591
Daehwan Kim
1 Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD, 21205, USA
2 Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
Ben Langmead
1 Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD, 21205, USA
2 Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
3 Department of Computer Science, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA
Steven L. Salzberg
1 Center for Computational Biology, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, 733 N. Broadway, Baltimore, MD, 21205, USA
2 Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, 615 N. Wolfe Street, Baltimore, MD, 21205, USA
3 Department of Computer Science, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA
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Posted December 15, 2014.
HISAT: Hierarchical Indexing for Spliced Alignment of Transcripts
Daehwan Kim, Ben Langmead, Steven L. Salzberg
bioRxiv 012591; doi: https://doi.org/10.1101/012591
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