Detecting differential usage of exons from RNA-Seq data
12/06/2012 - Room M203 at 13:30 - Pink Seminar
RNA-Seq is a powerful tool for the study of alternative
splicing and other forms of alternative isoform expression. Understanding the regulation of these processes requires sensitive and
specific detection of differential isoform abundance in comparisons
between conditions, cell types or tissues. I will present DEXSeq, a statistical method to test for differential exon usage in RNA-Seq data. DEXSeq employs generalized linear models and offers reliable control of false discoveries by taking biological variation into account.
DEXSeq detects genes, and in many cases specific exons, that are subject to differential exon usage with high sensitivity. I will show applications to several data sets.
The method facilitates the study of regulation and function of
alternative exon usage on a genome-wide scale. An implementation of DEXSeq is available as an R/Bioconductor package.
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