@inproceedings{27de8d51cffa4e18878e1dc068c9e7cb,
title = "Gene prediction in metagenomic libraries using the self organising map and high performance computing techniques",
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.",
author = "Nigel McCoy and Shaun Mahony and Aaron Golden",
year = "2007",
doi = "10.1007/978-3-540-69968-2_8",
language = "English (US)",
isbn = "3540698418",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "99--109",
booktitle = "Distributed, High-Performance and Grid Computing in Computational Biology International Workshop, GCCB 2006, Proceedings",
address = "Germany",
note = "Distributed, High-Performance and Grid Computing in Computational Biology International Workshop, GCCB 2006 ; Conference date: 21-01-2007 Through 21-01-2007",
}