The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Computing topological parameters of biological networks
Open accessAbstract
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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Cytoscape: A software Environment for integrated models of biomolecular interaction networks
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Network biology: understanding the cell's functional organization
Barabási, A.-L., & Oltvai, Z. N. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1272 · Cited by 7,903
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Understanding network concepts in modules
Dong, J., & Horvath, S. (2007) · BMC Systems Biology · doi:10.1186/1752-0509-1-24 · Cited by 455
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Metadata
- Authors
- Assenov, Y., Ramírez, F., Schelhorn, S.-E., Lengauer, T., & Albrecht, M.
- Venue
- Bioinformatics
- Publisher
- Oxford University Press (OUP)
- 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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