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Model-based detection of alternative splicing signals

By Yoseph Barash, Benjamin J. Blencowe and Brendan J. Frey

Abstract

Motivation: Transcripts from ∼95% of human multi-exon genes are subject to alternative splicing (AS). The growing interest in AS is propelled by its prominent contribution to transcriptome and proteome complexity and the role of aberrant AS in numerous diseases. Recent technological advances enable thousands of exons to be simultaneously profiled across diverse cell types and cellular conditions, but require accurate identification of condition-specific splicing changes. It is necessary to accurately identify such splicing changes to elucidate the underlying regulatory programs or link the splicing changes to specific diseases

Topics: Ismb 2010 Conference Proceedings July 11 to July 13, 2010, Boston, Ma, Usa
Publisher: Oxford University Press
OAI identifier: oai:pubmedcentral.nih.gov:2881385
Provided by: PubMed Central

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