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

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.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-C5F1-1 Version Permalink: http://hdl.handle.net/21.11116/0000-0002-CA4E-4
Genre: Journal Article

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 Creators:
Dietmann, S, Author
Georgii, E1, 2, Author              
Antonov, A, Author
Tsuda, K1, 2, Author              
Mewes, H-W, Author
Affiliations:
1Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497795              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794              

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 Abstract: 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 providing valuable information about the functional context.

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 Dates: 2009-01
 Publication Status: Published in print
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 Rev. Type: -
 Identifiers: DOI: 10.1093/bioinformatics/btp055
BibTex Citekey: 5785
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Title: Bioinformatics
Source Genre: Journal
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Publ. Info: Oxford : Oxford University Press
Pages: - Volume / Issue: 25 (6) Sequence Number: - Start / End Page: 830 - 831 Identifier: ISSN: 1367-4803
CoNE: https://pure.mpg.de/cone/journals/resource/954926969991