Email updates

Keep up to date with the latest news and content from Genome Biology and BioMed Central.

Open Access Highly Accessed Open Badges Method

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

Alexey V Antonov1*, Sabine Dietmann1 and Hans W Mewes12

Author Affiliations

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

For all author emails, please log on.

Genome Biology 2008, 9:R179  doi:10.1186/gb-2008-9-12-r179

Published: 18 December 2008


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.