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SpliceSeq: a resource for analysis and visualization of RNA-Seq data on alternative splicing and its functional impacts
Author(s) -
Michaël Ryan,
James Cleland,
RyangGuk Kim,
Wing Chung Wong,
John N. Weinstein
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts452
Subject(s) - rna splicing , computer science , splice , java , visualization , resource (disambiguation) , alternative splicing , computational biology , world wide web , data mining , bioinformatics , rna , biology , gene , genetics , programming language , messenger rna , computer network
SpliceSeq is a resource for RNA-Seq data that provides a clear view of alternative splicing and identifies potential functional changes that result from splice variation. It displays intuitive visualizations and prioritized lists of results that highlight splicing events and their biological consequences. SpliceSeq unambiguously aligns reads to gene splice graphs, facilitating accurate analysis of large, complex transcript variants that cannot be adequately represented in other formats.

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