Title: CarGene: Characterisation of sets of genes based on metabolic pathways analysis

Authors: Jesus S. Aguilar-Ruiz; Domingo S. Rodriguez-Baena; Norberto Diaz-Diaz; Isabel A. Nepomuceno-Chamorro

Addresses: School of Engineering, Pablo de Olavide University, 41013 Seville, Spain. ' School of Engineering, Pablo de Olavide University, 41013 Seville, Spain. ' School of Engineering, Pablo de Olavide University, 41013 Seville, Spain. ' Computer Science Department, University of Seville, 41012 Seville, Spain

Abstract: The great amount of biological information provides scientists with an incomparable framework for testing the results of new algorithms. Several tools have been developed for analysing gene-enrichment and most of them are Gene Ontology-based tools. We developed a Kyoto Encyclopedia of Genes and Genomes (Kegg)-based tool that provides a friendly graphical environment for analysing gene-enrichment. The tool integrates two statistical corrections and simultaneously analysing the information about many groups of genes in both visual and textual manner. We tested the usefulness of our approach on a previous analysis (Huttenshower et al.). Furthermore, our tool is freely available (http://www.upo.es/eps/bigs/cargene.html).

Keywords: clustering; biclustering; Kegg; biological validation; metabolic pathways; gene enrichment; bioinformatics; Kyoto Encyclopedia of Genes and Genomes.

DOI: 10.1504/IJDMB.2011.043033

International Journal of Data Mining and Bioinformatics, 2011 Vol.5 No.5, pp.558 - 573

Received: 16 Apr 2009
Accepted: 24 Dec 2009
Published online: 24 Jan 2015 *

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