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

Alexey V. Antonov, Sabine Dietmann, Hans W. Mewes

Research output: Contribution to journalArticlepeer-review

57 Scopus citations

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.

Original languageEnglish
Article numberR179
JournalGenome Biology
Volume9
Issue number12
DOIs
StatePublished - 18 Dec 2008

Fingerprint

Dive into the research topics of 'KEGG spider: Interpretation of genomics data in the context of the global gene metabolic network'. Together they form a unique fingerprint.

Cite this