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Genome Biol. 2008;9(12):R179. doi: 10.1186/gb-2008-9-12-r179. Epub 2008 Dec 18.

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

Author information

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

Abstract

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
Free PMC Article

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