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

Dietmann, S; Georgii, E; Antonov, A; Tsuda, K; Mewes, H-W

doi:10.1093/bioinformatics/btp055

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

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Georgii, E
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Tsuda, K
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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https://academic.oup.com/bioinformatics/article/25/6/830/251876
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Citation

Dietmann, S., Georgii, E., Antonov, A., Tsuda, K., & Mewes, H.-W. (2009). The DICS repository: module-assisted analysis of disease-related gene lists. Bioinformatics, 25(6), 830-831. doi:10.1093/bioinformatics/btp055.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-C5F1-1

Abstract

The DICS database is a dynamic web repository of computationally predicted functional modules from the human proteinprotein 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 providing valuable information about the functional context.