title: BIOREL: the benchmark resource to estimate the relevance of the gene networks.
abstract: The progress of high-throughput methodologies in functional genomics has lead to the development of statistical procedures to infer gene networks from various types of high-throughput data. However, due to the lack of common standards, the biological significance of the results of the different studies is hard to compare. To overcome this problem we propose a benchmark procedure and have developed a web resource (BIOREL), which is useful for estimating the biological relevance of any genetic network by integrating different sources of biological information. The associations of each gene from the network are classified as biologically relevant or not. The proportion of genes in the network classified as "relevant" is used as the overall network relevance score. Employing synthetic data we demonstrated that such a score ranks the networks fairly in respect to the relevance level. Using BIOREL as the benchmark resource we compared the quality of experimental and theoretically predicted protein interaction data.
authors.affiliation: GSF National Research Center for Environment and Health, Institute for Bioinformatics, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany. antonov@gsf.de
authors.forename: Alexey V
authors.initials: AV
authors.lastname: Antonov
authors.forename: Hans W
authors.initials: HW
authors.lastname: Mewes
mesh_terms: D019295:Computational Biology; D023281:Genomics; D006801:Humans; D020407:Internet; D011485:Protein Binding / Q000235:genetics; D011506:Proteins / Q000235:genetics*; D012984:Software
chemical_list: D011506:Proteins