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Bioinformatics. 2006 Dec 15;22(24):3106-8. Epub 2006 Oct 23.

An algorithm for modularity analysis of directed and weighted biological networks based on edge-betweenness centrality.

Author information

1
Department of Chemical and Biological Engineering, Medford, MA 02155, USA.

Abstract

Modularity analysis is a powerful tool for studying the design of biological networks, offering potential clues for relating the biochemical function(s) of a network with the 'wiring' of its components. Relatively little work has been done to examine whether the modularity of a network depends on the physiological perturbations that influence its biochemical state. Here, we present a novel modularity analysis algorithm based on edge-betweenness centrality, which facilitates the use of directional information and measurable biochemical data.

PMID:
17060356
DOI:
10.1093/bioinformatics/btl533
[Indexed for MEDLINE]

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