CFinder:: locating cliques and overlapping modules in biological networks

被引:651
作者
Adamcsek, B
Palla, G
Farkas, IJ
Derényi, I
Vicsek, T
机构
[1] Eotvos Lorand Univ, Dept Biol Phys, H-1117 Budapest, Hungary
[2] Hungarian Acad Sci, Biol Phys Res Grp, H-1117 Budapest, Hungary
基金
匈牙利科学研究基金会;
关键词
D O I
10.1093/bioinformatics/btl039
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:1021 / 1023
页数:3
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