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Bioinformatics Advance Access originally published online on October 23, 2006
Bioinformatics 2006 22(24):3106-3108; 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

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

Jeongah Yoon , Anselm Blumer 1 and Kyongbum Lee *

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

*To whom correspondence should be addressed.

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.

Contact: kyongbum.lee{at}tufts.edu

Supplementary information: Supplementary data are available at Bioinformatics online.

Received on May 17, 2006; revised on August 14, 2006; accepted on October 12, 2006

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