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A systematic approach to infer biological relevance and biases of gene network structures.

Nucleic Acids Res. 34, e6:E6 (2006)
Verlagsversion Volltext DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
The development of high-throughput technologies has generated the need for bioinformatics approaches to assess the biological relevance of gene networks. Although several tools have been proposed for analysing the enrichment of functional categories in a set of genes, none of them is suitable for evaluating the biological relevance of the gene network. We propose a procedure and develop a web-based resource (BIOREL) to estimate the functional bias (biological relevance) of any given genetic network by integrating different sources of biological information. The weights of the edges in the network may be either binary or continuous. These essential features make our web tool unique among many similar services. BIOREL provides standardized estimations of the network biases extracted from independent data. By the analyses of real data we demonstrate that the potential application of BIOREL ranges from various benchmarking purposes to systematic analysis of the network biology.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter YEAST SACCHAROMYCES-CEREVISIAE; PROTEIN-INTERACTION NETWORKS; ENVIRONMENTAL-CHANGES; GENOME DATABASE; EXPRESSION DATA; WHOLE GENOMES; ANNOTATION; ONTOLOGY; CLASSIFICATION; IDENTIFICATION
ISSN (print) / ISBN 0305-1048
e-ISSN 1362-4962
Quellenangaben Band: 34, Heft: 1, Seiten: e6, Artikelnummer: E6 Supplement: ,
Verlag Oxford University Press
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed