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KEGG spider: Interpretation of genomics data in the context of the global gene metabolic network.
Genome Biol. 9:R179 (2008)
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.
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Publication type
Article: Journal article
Document type
Scientific Article
Keywords
KEGG spider; genomics data; gene metabolic; POTENTIAL DIAGNOSTIC MARKERS; 2-D GEL-ELECTROPHORESIS; RENAL-CELL CARCINOMA; HIGH-THROUGHPUT DATA; MALDI-TOF-MS; PROTEOMIC ANALYSIS; DIFFERENTIAL EXPRESSION; CANCER-CELLS; BIOTECHNOLOGY-INFORMATION; THERAPEUTIC TARGETS
ISSN (print) / ISBN
1474-760X
e-ISSN
1465-6906
Journal
Genome Biology
Quellenangaben
Volume: 9,
Issue: 12,
Article Number: R179
Publisher
BioMed Central
Non-patent literature
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Reviewing status
Peer reviewed