Open AccessSNPlice: variants that modulate Intron retention from RNA-sequencing data
Author(s) -
Prakriti Mudvari,
Mercedeh Movassagh,
Kamran Kowsari,
Ali Seyfi,
Maria Kokkinaki,
Nathan Edwards,
Nady Golestaneh,
Anélia Horvath
Publication year - 2014
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/btu804
Subject(s) - splice , intron , rna splicing , exon , computational biology , biology , rna seq , rna , genetics , source code , transcriptome , gene , computer science , gene expression , operating system
The growing recognition of the importance of splicing, together with rapidly accumulating RNA-sequencing data, demand robust high-throughput approaches, which efficiently analyze experimentally derived whole-transcriptome splice profiles.
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