CFinder: Locating cliques and overlapping modules in biological networks

Balázs Adamcsek, Gergely Palla, Illés J. Farkas, Imre Derényi, Tamás Vicsek

Research output: Contribution to journalArticle

627 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1021-1023
Number of pages3
JournalBioinformatics
Volume22
Issue number8
DOIs
Publication statusPublished - Apr 1 2006

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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