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Ab initio exon definition using an information theory-based approach

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1 Author(s)
Rogan, P.K. ; Univ. of Western Ontario, London, ON

Transcribed exons in genes are joined together at donor and acceptor splice sites precisely and efficiently to generate mRNAs capable 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.

Published in:

Information Sciences and Systems, 2009. CISS 2009. 43rd Annual Conference on

Date of Conference:

18-20 March 2009

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