Back to search

Article

HISAT: Hierarchical Indexing for Spliced Alignment of Transcripts

2014-12-12

Abstract excerpt

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 Ferragina-Manzini (FM) index. Hierarchical indexing employs two types of indexes for alignment: (1) a whole-genome FM index to anchor ea...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
cb6b6a16-346b-596a-95c6-dd8f864a7af3
DOI
10.1101/012591
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
HISAT: Hierarchical Indexing for Spliced Alignment of TranscriptsDOI 10.1101/012591
Select a neighboring publication to make it the new centre.