Gene prediction in metagenomic libraries using the self organising map and high performance computing techniques

Authors:
Nigel McCoy;Shaun Mahony;Aaron Golden
Affiliations:
National University of Ireland, Galway, Ireland;Dept of Computational Biology, University of Pittsburgh, Pittsburgh, PA;National University of Ireland, Galway, Ireland
Venue:
GCCB'06 Proceedings of the 2006 international conference on Distributed, high-performance and grid computing in computational biology
Year:
2007

Citing 4
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Abstract

This paper describes a novel approach for annotating metagenomic libraries obtained from environmental samples utilising the self organising map (SOM) neural network formalism. A parallel implementation of the SOM is presented and its particular usefulness in metagenomic annotation highlighted. The benefits of the parallel algorithm and performance increases are explained, the latest results from annotation on an artificially generated metagenomic library presented and the viability of this approach for implementation on existing metagenomic libraries is assessed.