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Bioinformatics Advance Access published online on January 28, 2009
Bioinformatics, doi:10.1093/bioinformatics/btp055
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© The Author (2009). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

The DICS repository: module-assisted analysis of disease-related gene lists

Sabine Dietmann 1,*, Elisabeth Georgii 2, Alexey Antonov 1, Koji Tsuda 2 and Hans-Werner Mewes 1

1Institute for Bioinformatics and Systems Biology, German Research Center for Environmental Health, Ingolstädter Land-straβe 1, D-85764 Neuherberg, Germany.
2 Max Planck Institute for Biological Cybernetics, Spemannstr. 38, D-72076 Tübingen, Germany.

*To whom correspondence should be addressed. Dr. Sabine Dietmann, E-mail: sabine.dietmann{at}gsf.de


  Abstract

Summary: The DICS database is a dynamic web repository of computationally predicted functional modules from the human protein-protein interaction network. It provides references to the CORUM, DrugBank, KEGG, and Reactome pathway databases. DICS can be accessed for retrieving sets of overlapping modules and protein complexes that are significantly enriched in a gene list, thereby pro-viding valuable information about the functional context.

Availability: http://mips.gsf.de/proj/dics

Supplementary information: Supplementary information on data sets and methods is available on the web-server.

Contact: sabine.dietmann{at}googlemail.com

Associate Editor: Dr. Trey Ideker

Received on April 23, 2008; revised on November 5, 2008; accepted on January 24, 2009

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