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

  • Affiliations:
  • 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

  • Venue:
  • International Journal of Data Mining and Bioinformatics
  • Year:
  • 2011

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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).