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Biosystems. 2013 Aug;113(2):91-5. doi: 10.1016/j.biosystems.2013.05.010. Epub 2013 Jun 3.

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

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1
Institut de Mathématiques de Luminy, CNRS - FRE3529, Avenue de Luminy, 13288 Marseille Cedex 9, France.

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.

KEYWORDS:

Clustering; Graph partitioning; Interaction networks; Visualization

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