title: KEGG spider: interpretation of genomics data in the context of the global gene metabolic network.
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.
authors.affiliation: GSF National Research Centre for Environment and Health, Institute for Bioinformatics, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany. antonov@gsf.de
authors.forename: Alexey V
authors.initials: AV
authors.lastname: Antonov
authors.forename: Sabine
authors.initials: S
authors.lastname: Dietmann
authors.forename: Hans W
authors.initials: HW
authors.lastname: Mewes
mesh_terms: D000818:Animals; D042882:Gallstones / Q000235:genetics; D015972:Gene Expression Regulation, Neoplastic; D023281:Genomics; D006801:Humans; D008099:Liver / Q000503:physiopathology; D053858:Metabolic Networks and Pathways; D012984:Software; D013274:Stomach Neoplasms / Q000235:genetics