SpliceTrap: a method to quantify alternative splicing under single cellular conditions
Author(s) -
Jie Wu,
Martin Akerman,
Shuying Sun,
W. Richard McCombie,
Adrian R. Krainer,
Michael Q. Zhang
Publication year - 2011
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/btr508
Subject(s) - exon , alternative splicing , rna splicing , computational biology , robustness (evolution) , computer science , exon skipping , biology , bayesian probability , inference , gene , rna , genetics , artificial intelligence
Alternative splicing (AS) is a pre-mRNA maturation process leading to the expression of multiple mRNA variants from the same primary transcript. More than 90% of human genes are expressed via AS. Therefore, quantifying the inclusion level of every exon is crucial for generating accurate transcriptomic maps and studying the regulation of AS.
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