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A new approach to gene prediction using the self-organizing map

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4 Author(s)
Mahony, S. ; Nat. Centre for Biomed. Eng. Sci., Nat. Univ. of Ireland, Galway, Ireland ; Smith, T.J. ; Mclnerney, J.O. ; Golden, A.

In this poster we present a gene prediction approach based on the self-organizing map that has the ability to automatically identify all the major patterns of content variation within a genome. The genome may then be scanned for regions displaying the same properties as one of these automatically identified models. Even using a relatively simple coding measure (codon usage), this method can predict the location of protein-coding sequences with a reasonably high accuracy. We also show other advantages of the approach, such as the ability to indicate genes that contain frame-shifts. We believe that this method has the potential to become a useful addition to the genome annotation process.

Published in:

Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE

Date of Conference:

11-14 Aug. 2003