Literature DB >> 23743336

Clust&See: a Cytoscape plugin for the identification, visualization and manipulation of network clusters.

Lionel Spinelli1, Philippe Gambette, Charles E Chapple, Benoît Robisson, Anaïs Baudot, Henri Garreta, Laurent Tichit, Alain Guénoche, Christine Brun.   

Abstract

BACKGROUND AND SCOPE: Large networks, such as protein interaction networks, are extremely difficult to analyze as a whole. We developed Clust&See, a Cytoscape plugin dedicated to the identification, visualization and analysis of clusters extracted from such networks. IMPLEMENTATION AND PERFORMANCE: Clust&See provides the ability to apply three different, recently developed graph clustering algorithms to networks and to visualize: (i) the obtained partition as a quotient graph in which nodes correspond to clusters and (ii) the obtained clusters as their corresponding subnetworks. Importantly, tools for investigating the relationships between clusters and vertices as well as their organization within the whole graph are supplied.
Copyright © 2013 The Authors. Published by Elsevier Ireland Ltd.. All rights reserved.

Entities:  

Keywords:  Clustering; Graph partitioning; Interaction networks; Visualization

Mesh:

Year:  2013        PMID: 23743336     DOI: 10.1016/j.biosystems.2013.05.010

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


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