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Predicting pathway membership via domain signatures

Abstract
Motivation: Functional characterization of genes is of great importance for the understanding of complex cellular processes. Valuable information for this purpose can be obtained from pathway databases, like KEGG. However, only a small fraction of genes is annotated with pathway information up to now. In contrast, information on contained protein domains can be obtained for a significantly higher number of genes, e.g. from the InterPro database.

Publication details
Download http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2553439
Publisher Oxford University Press
Repository PubMed Central (PMC3 - NLM DTD) (United States)
Keywords Original Papers
Type Text
Language English