HISAT: a fast spliced aligner with low memory requirements
Abstract
HISAT (hierarchical indexing for spliced alignment of transcripts) is a highly efficient system for aligning reads from RNA sequencing experiments. HISAT uses an indexing scheme based on the Burrows-Wheeler transform and the Ferragina-Manzini (FM) index, employing two types of indexes for alignment: a whole-genome FM index to anchor each alignment and numerous local FM indexes for very rapid extensions of these alignments. HISAT's hierarchical...
Paper Details
Title
HISAT: a fast spliced aligner with low memory requirements
Published Date
Mar 9, 2015
Journal
Volume
12
Issue
4
Pages
357 - 360
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