Abstract

We present an update of the FunCoup database (http://FunCoup.sbc.su.se) of functional couplings, or functional associations, between genes and gene products. Identifying these functional couplings is an important step in the understanding of higher level mechanisms performed by complex cellular processes. FunCoup distinguishes between four classes of couplings: participation in the same signaling cascade, participation in the same metabolic process, co-membership in a protein complex and physical interaction. For each of these four classes, several types of experimental and statistical evidence are combined by Bayesian integration to predict genome-wide functional coupling networks. The FunCoup framework has been completely re-implemented to allow for more frequent future updates. It contains many improvements, such as a regularization procedure to automatically downweight redundant evidences and a novel method to incorporate phylogenetic profile similarity. Several datasets have been updated and new data have been added in FunCoup 3.0. Furthermore, we have developed a new Web site, which provides powerful tools to explore the predicted networks and to retrieve detailed information about the data underlying each prediction.

Keywords

BiologyComputational biologyGenomeBayesian probabilitySimilarity (geometry)Data miningComputer scienceBioinformaticsGeneArtificial intelligenceGenetics

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Publication Info

Year
2013
Type
article
Volume
42
Issue
D1
Pages
D380-D388
Citations
107
Access
Closed

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Thomas Schmitt, Christoph Ogris, Erik L. L. Sonnhammer (2013). FunCoup 3.0: database of genome-wide functional coupling networks. Nucleic Acids Research , 42 (D1) , D380-D388. https://doi.org/10.1093/nar/gkt984

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DOI
10.1093/nar/gkt984