HISAT: a fast spliced aligner with low memory requirements View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-03-09

AUTHORS

Daehwan Kim, Ben Langmead, Steven L Salzberg

ABSTRACT

HISAT (hierarchical indexing for spliced alignment of transcripts) uses global and local indices for fast, sensitive alignment with small memory requirements.

PAGES

357-360

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.3317

DOI

http://dx.doi.org/10.1038/nmeth.3317

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1005140994

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25751142


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