DICS: dense modules from protein-protein interaction networks

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Protein complex/dense module enrichment analysis

Paste a list of gene/protein identifiers:

Parameters:
Organism:	Module set:
	dense modules protein complexes
P-value:	Overlap:	Filter:

run test example

Test example: 122 breast cancer genes from a study of Sjoeblom et al. (2006)
[The consensus coding sequences of human breast and colorectal cancers. Science, 314, 268-274]

Supported formats: UniProt accession numbers, gene symbols, ENSEMBL gene IDs, RefSeq protein accession numbers, Mouse MGI accession IDs.

Module sets:
Set Reliability # proteins
core_30_100 0.57 3827
core40_95 0.59 3193
core20_95 0.50 4572
protein complexes 1.00 1752

P-value: A Monte-carlo simulation procedure is used to estimate the significance of the association of a module with the gene set. The module is required to contain at least 2 input genes (see Methods - Info).

Overlap: Modules with an overlap score greater than the specified threshold are unified. The overlap score is given by N*N/(N1*N2), where N1, N2 is the number of proteins in the modules and N the number of proteins in the overlap.
(Note: due to the large size the core20_95 set can only be unified at an overlap score of 0.4 and 0.7)

Filter: The filter removes modules with identical input genes. You can also choose a lower overlap score to unify the modules.