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Computing topological parameters of biological networks

Open access
Assenov, Yassen, Ramírez, Fidel, Schelhorn, Sven-Eric, Lengauer, Thomas, Albrecht, Mario·2008·Bioinformatics

Abstract

Summary: Rapidly increasing amounts of molecular interaction data are being produced by various experimental techniques and computational prediction methods. In order to gain insight into the organization and structure of the resultant large complex networks formed by the interacting molecules, we have developed the versatile Cytoscape plugin NetworkAnalyzer. It computes and displays a comprehensive set of topological parameters, which includes the number of nodes, edges, and connected components, the network diameter, radius, density, centralization, heterogeneity, and clustering coefficient, the characteristic path length, and the distributions of node degrees, neighborhood connectivities, average clustering coefficients, and shortest path lengths. NetworkAnalyzer can be applied to both directed and undirected networks and also contains extra functionality to construct the intersection or union of two networks. It is an interactive and highly customizable application that requires no expert knowledge in graph theory from the user. Availability: NetworkAnalyzer can be downloaded via the Cytoscape web site: http://www.cytoscape.org Contact: mario.albrecht@mpi-inf.mpg.de Supplementary information: Supplementary data are available at Bioinformatics online.

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Metadata

Authors
Assenov, Y., Ramírez, F., Schelhorn, S.-E., Lengauer, T., & Albrecht, M.
Venue
Bioinformatics
Published
2007-11-15
Volume
24
Issue
2
Pages
282-284
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2144656637
Cited by
1,826
References
4
FWCI
8.62
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Computing topological parameters of biological networks. https://app.cochat.ai/papers/10.1093/bioinformatics/btm554
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Assenov, Y., Ramírez, F., Schelhorn, S.-E., Lengauer, T., & Albrecht, M. (2008). Computing topological parameters of biological networks. Bioinformatics. https://doi.org/10.1093/bioinformatics/btm554

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