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Antonov, A.V. ; Dietmann, S. ; Mewes, H.-W.

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

Genome Biol. 9:R179 (2008)
Verlagsversion Volltext DOI PMC
Open Access Gold
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter 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
Zeitschrift Genome Biology
Quellenangaben Band: 9, Heft: 12, Seiten: , Artikelnummer: R179 Supplement: ,
Verlag BioMed Central
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Bioinformatics and Systems Biology (IBIS)