Computing topological parameters of biological networks.

@article{citeulike:2111163, 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 results are available at Bioinformatics Online.}, address = {Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Stuhlsatzenhausweg 85, 66123 Saarbr\"{u}cken, German.}, author = {Assenov, Yassen and Ram\'{i}rez, Fidel and Schelhorn, Sven-Eric E. and Lengauer, Thomas and Albrecht, Mario }, citeulike-article-id = {2111163}, doi = {http://dx.doi.org/10.1093/bioinformatics/btm554}, issn = {1460-2059}, journal = {Bioinformatics}, keywords = {cytoscape\_plugin, network\_analysis}, month = {November}, posted-at = {2008-07-01 10:45:24}, priority = {2}, title = {Computing topological parameters of biological networks.}, url = {http://dx.doi.org/10.1093/bioinformatics/btm554}, year = {2007} }

TY - JOUR ID - citeulike:2111163 L3 - citeulike-article-id:2111163 TI - Computing topological parameters of biological networks. JF - Bioinformatics AD - Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Stuhlsatzenhausweg 85, 66123 Saarbrücken, German. SN - 1460-2059 N2 - 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 results are available at Bioinformatics Online. KW - cytoscape_plugin KW - network_analysis AU - Assenov, Yassen AU - Ramírez, Fidel AU - Schelhorn, Sven-Eric AU - Lengauer, Thomas AU - Albrecht, Mario PY - 2007/11/15/ UR - http://dx.doi.org/10.1093/bioinformatics/btm554 ER -