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Gene Regul Syst Bio. 2008 May 15;2:193-201.

Centrality analysis methods for biological networks and their application to gene regulatory networks.

Author information

1
Department of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstrasse 3, 06466 Gatersleben, Germany. dirk.koschuetzki@hs-furtwangen.de

Abstract

The structural analysis of biological networks includes the ranking of the vertices based on the connection structure of a network. To support this analysis we discuss centrality measures which indicate the importance of vertices, and demonstrate their applicability on a gene regulatory network. We show that common centrality measures result in different valuations of the vertices and that novel measures tailored to specific biological investigations are useful for the analysis of biological networks, in particular gene regulatory networks.

KEYWORDS:

centralities; escherichia coli; gene regulatory network; network analysis; network motif

PMID:
19787083
PMCID:
PMC2733090

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