PROCEEDINGS OF THE 2003 IEEE BIOINFORMATICS CONFERENCE

Terry Smith

PROCEEDINGS OF THE 2003 IEEE BIOINFORMATICS CONFERENCE

Infectious Disease

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

Abstract

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.

Original language	English (Ireland)
Title of host publication	A new approach to gene prediction using the self-organizing map
Number of pages	2
Publication status	Published - 1 Mar 2003

Authors (Note for portal: view the doc link for the full list of authors)

Authors
Mahony, S,Smith, TJ,McInerney, JO,IEEE COMPUTER SOCIETY

Cite this

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M3 - Conference Publication

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PROCEEDINGS OF THE 2003 IEEE BIOINFORMATICS CONFERENCE

Abstract

Authors (Note for portal: view the doc link for the full list of authors)

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