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Life Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

2009

Genetics

Genetics and Genomics

Biochemistry Publications

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Full-Text Articles in Life Sciences

Ab Initio Exon Definition Using An Information Theory-Based Approach, Peter K. Rogan Mar 2009

Ab Initio Exon Definition Using An Information Theory-Based Approach, Peter K. Rogan

Biochemistry Publications

Transcribed exons in genes are joined together at donor and acceptor splice sites precisely and efficiently to generate mRNAs capa ble of being translated into proteins. The sequence variability in individual splice sites can be modeled using Shannon information theory. In the laboratory, the degree of individual splice site use is inferred from the structures of mRNAs and their relative abundance. These structures can be predicted using a bipartite information theory framework that is guided by current knowledge of biological mechanisms for exon recognition. We present the results of this analysis for the complete dataset of all expressed human exons.