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Computing topological parameters of biological networks.
Assenov, Yassen; Ramírez, Fidel; Schelhorn, Sven-Eric; Lengauer, Thomas; Albrecht, Mario.
Afiliación
  • Assenov Y; Department of Computational Biology and Applied Algorithmics, Max Planck Institute for Informatics, Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany.
Bioinformatics ; 24(2): 282-4, 2008 Jan 15.
Article en En | MEDLINE | ID: mdl-18006545
ABSTRACT
UNLABELLED 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
Asunto(s)
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Interfaz Usuario-Computador / Transducción de Señal / Proteoma / Mapeo de Interacción de Proteínas / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2008 Tipo del documento: Article País de afiliación: Alemania
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Interfaz Usuario-Computador / Transducción de Señal / Proteoma / Mapeo de Interacción de Proteínas / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2008 Tipo del documento: Article País de afiliación: Alemania
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