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HISAT: Hierarchical Indexing for Spliced Alignment of Transcripts

bioRxiv

Dec 12, 2014

Dae-Hwan KimSteven L. Salzberg

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Abstract

HISAT is a new, highly efficient system for alignment of sequences from RNA sequencing experiments that achieves dramatically faster performance than previous methods. HISAT uses a new indexing scheme, hierarchical indexing, which is based on the Burrows-Wheeler transform and the Ferrag...read more

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Mapping, Vessel
Computer Software
Genome
RNA
Memory
Research Study
Size
Exons
Transcript
Genome, Human
79
2
41
Paper Details
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  • HISAT: Hierarchical Indexing for Spliced Alignment of Transcripts

    bioRxiv

    Dec 12, 2014

    Dae-Hwan KimSteven L. Salzberg

    PMID: 990012591

    DOI: 10.1101/012591

    Abstract

    HISAT is a new, highly efficient system for alignment of sequences from RNA sequencing experiments that achieves dramatically faster performance than previous methods. HISAT uses a new indexing scheme, hierarchical indexing, which is based on the Burrows-Wheeler transform and the Ferrag...read more

    Mentioned in this Paper

    Mapping, Vessel
    Computer Software
    Genome
    RNA
    Memory
    79
    2
    41
    Paper Details
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