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    Genome Biol. 2008;9(12):R179. Epub 2008 Dec 18.

    KEGG spider: interpretation of genomics data in the context of the global gene metabolic network.

    Antonov AV, Dietmann S, Mewes HW.

    GSF National Research Centre for Environment and Health, Institute for Bioinformatics, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany. antonov@gsf.de

    KEGG spider is a web-based tool for interpretation of experimentally derived gene lists in order to gain understanding of metabolism variations at a genomic level. KEGG spider implements a 'pathway-free' framework that overcomes a major bottleneck of enrichment analyses: it provides global models uniting genes from different metabolic pathways. Analyzing a number of experimentally derived gene lists, we demonstrate that KEGG spider provides deeper insights into metabolism variations in comparison to existing methods.

    PMID: 19094223 [PubMed - indexed for MEDLINE]

    PMCID: PMC2646283

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