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Computing topological parameters of biological networks
Author(s) -
Yassen Assenov,
Fidel Ramírez,
Sven-Eric Schelhorn,
Thomas Lengauer,
Mario Albrecht
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm554
Subject(s) - computer science , plug in , biological network , intersection (aeronautics) , cluster analysis , clustering coefficient , node (physics) , construct (python library) , theoretical computer science , set (abstract data type) , path (computing) , data mining , software , graph , bioinformatics , artificial intelligence , biology , engineering , programming language , aerospace engineering , structural engineering
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.

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