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Artificial Intelligence Applications and Innovations AIAI 2012 International Workshops: AIAB, AIeIA, CISE, COPA, IIVC, ISQL, MHDW, and WADTMB Halkidiki, Greece, September 27-30, 2012, Part II |
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Conference papers
Multi-genome Core Pathway Identification through Gene Clustering
Abstract : In the wake of gene-oriented data analysis in large-scale bioinformatics studies, focus in research is currently shifting towards the analysis of the functional association of genes, namely the metabolic pathways in which genes participate. The goal of this paper is to attempt to identify the core genes in a specific pathway, based on a user-defined selection of genomes. To this end, a novel methodology has been developed that uses data from the KEGG database, and through the application of the MCL clustering algorithm, identifies clusters that correspond to different “layers” of genes, either on a phylogenetic or a functional level. The algorithm’s complexity, evaluated experimentally, is presented and the results on a characteristic case study are discussed.
Cited literature [15 references]
https://hal.archives-ouvertes.fr/hal-01523039
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 9:16:27 AM
Last modification on : Thursday, March 5, 2020 - 5:41:41 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:35:49 AM
Contributor : Hal Ifip <>
Submitted on : Tuesday, May 16, 2017 - 9:16:27 AM
Last modification on : Thursday, March 5, 2020 - 5:41:41 PM
Long-term archiving on: : Friday, August 18, 2017 - 12:35:49 AM
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