title: The DICS repository: module-assisted analysis of disease-related gene lists.
abstract: CONCLUSIONS
  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.
  
  
  BACKGROUND
  Supplementary information on datasets and methods is available on the web server http://mips.gsf.de/proj/dics.
authors.affiliation: Institute for Bioinformatics and Systems Biology, German Research Center for Environmental Health, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany. sabine.dietmann@googlemail.com
authors.forename: Sabine
authors.initials: S
authors.lastname: Dietmann
authors.forename: Elisabeth
authors.initials: E
authors.lastname: Georgii
authors.forename: Alexey
authors.initials: A
authors.lastname: Antonov
authors.forename: Koji
authors.initials: K
authors.lastname: Tsuda
authors.forename: Hans-Werner
authors.initials: HW
authors.lastname: Mewes
mesh_terms: D019295:Computational Biology / Q000379:methods*; D030562:Databases, Protein / Q000592:standards; D004194:Disease / Q000235:genetics*; D005796:Genes; D006801:Humans; D020407:Internet; D025941:Protein Interaction Mapping; D011506:Proteins / Q000737:chemistry
chemical_list: D011506:Proteins