Method
KEGG spider: interpretation of genomics data in the context of the global gene metabolic network
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* Corresponding author: Alexey V Antonov antonov@gsf.de
1 GSF National Research Centre for Environment and Health, Institute for Bioinformatics, Ingolstädter Landstraße 1, D-85764 Neuherberg, Germany
2 Department of Genome-Oriented Bioinformatics, Wissenschaftszentrum Weihenstephan, Technische Universität München, 85350 Freising, Germany
Genome Biology 2008, 9:R179 doi:10.1186/gb-2008-9-12-r179
Published: 18 December 2008Abstract
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.