{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T10:04:28Z","timestamp":1774865068624,"version":"3.50.1"},"reference-count":12,"publisher":"Oxford University Press (OUP)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2006,4,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Most cellular tasks are performed not by individual proteins, but by groups of functionally associated proteins, often referred to as modules. In a protein assocation network modules appear as groups of densely interconnected nodes, also called communities or clusters. These modules often overlap with each other and form a network of their own, in which nodes (links) represent the modules (overlaps). We introduce CFinder, a fast program locating and visualizing overlapping, densely interconnected groups of nodes in undirected graphs, and allowing the user to easily navigate between the original graph and the web of these groups. We show that in gene (protein) association networks CFinder can be used to predict the function(s) of a single protein and to discover novel modules. CFinder is also very efficient for locating the cliques of large sparse graphs.<\/jats:p>\n               <jats:p>Availability: CFinder (for Windows, Linux and Macintosh) and its manual can be downloaded from .<\/jats:p>\n               <jats:p>Supplementary information: Supplementary data are available on Bioinformatics online.<\/jats:p>\n               <jats:p>Contact: \u00a0cfinder@angel.elte.hu<\/jats:p>","DOI":"10.1093\/bioinformatics\/btl039","type":"journal-article","created":{"date-parts":[[2006,2,11]],"date-time":"2006-02-11T01:23:56Z","timestamp":1139621036000},"page":"1021-1023","source":"Crossref","is-referenced-by-count":758,"title":["CFinder: locating cliques and overlapping modules in biological networks"],"prefix":"10.1093","volume":"22","author":[{"given":"Bal\u00e1zs","family":"Adamcsek","sequence":"first","affiliation":[{"name":"Department of Biological Physics, E\u00f6tv\u00f6s University 1 \u00a0 1 \u00a0 \u00a0 P\u00e1zm\u00e1ny P. stny. 1A, H-1117 Budapest, Hungary"}]},{"given":"Gergely","family":"Palla","sequence":"additional","affiliation":[{"name":"Biological Physics Research Group of the Hungarian Academy of Sciences 2 \u00a0 2 \u00a0 \u00a0 P\u00e1zm\u00e1ny P. stny. 1A, H-1117 Budapest, Hungary"}]},{"given":"Ill\u00e9s J.","family":"Farkas","sequence":"additional","affiliation":[{"name":"Biological Physics Research Group of the Hungarian Academy of Sciences 2 \u00a0 2 \u00a0 \u00a0 P\u00e1zm\u00e1ny P. stny. 1A, H-1117 Budapest, Hungary"}]},{"given":"Imre","family":"Der\u00e9nyi","sequence":"additional","affiliation":[{"name":"Department of Biological Physics, E\u00f6tv\u00f6s University 1 \u00a0 1 \u00a0 \u00a0 P\u00e1zm\u00e1ny P. stny. 1A, H-1117 Budapest, Hungary"}]},{"given":"Tam\u00e1s","family":"Vicsek","sequence":"additional","affiliation":[{"name":"Department of Biological Physics, E\u00f6tv\u00f6s University 1 \u00a0 1 \u00a0 \u00a0 P\u00e1zm\u00e1ny P. stny. 1A, H-1117 Budapest, Hungary"},{"name":"Biological Physics Research Group of the Hungarian Academy of Sciences 2 \u00a0 2 \u00a0 \u00a0 P\u00e1zm\u00e1ny P. stny. 1A, H-1117 Budapest, Hungary"}]}],"member":"286","published-online":{"date-parts":[[2006,2,10]]},"reference":[{"key":"2023012409211032800_b1","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1186\/1471-2105-4-2","article-title":"An automated method for finding molecular complexes in large protein interaction networks","volume":"4","author":"Bader","year":"2003","journal-title":"BMC Bioinformatics"},{"key":"2023012409211032800_b2","first-page":"47","article-title":"Pajek\u2014program for large network analysis","volume":"21","author":"Batagelj","year":"1998","journal-title":"Connections"},{"key":"2023012409211032800_b3","doi-asserted-by":"crossref","first-page":"3710","DOI":"10.1093\/bioinformatics\/bth456","article-title":"GO::TermFinder\u2014open source software for accessing Gene Ontology information and finding significantly enriched Gene Ontology terms associated with a list of genes","volume":"20","author":"Boyle","year":"2004","journal-title":"Bioinformatics"},{"key":"2023012409211032800_b4","doi-asserted-by":"crossref","first-page":"1055","DOI":"10.1038\/nbt861","article-title":"Discovery of uncharacterized cellular systems by genome-wide analysis of functional linkages","volume":"21","author":"Date","year":"2003","journal-title":"Nat. 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