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Bioinformatics Advance Access published online on October 23, 2006
Bioinformatics, doi:10.1093/bioinformatics/btl533
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© The Author (2006). Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org
Received May 17, 2006
Revised August 14, 2006
Accepted October 12, 2006

Applications note

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

Jeongah Yoon 1, Anselm Blumer 2, and Kyongbum Lee 1 *

1 Department of Chemical and Biological Engineering, Tufts University, Medford, MA 02155
2 Department of Computer Science, Tufts University, Medford, MA 02155


  Abstract

Motivation: 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.

Associate Editor: Alvis Brazma
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