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

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.
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https://hal-upec-upem.archives-ouvertes.fr/hal-00832028
Contributeur : Philippe Gambette <>
Soumis le : dimanche 30 juin 2013 - 08:14:50
Dernière modification le : lundi 8 avril 2019 - 13:32:04
Document(s) archivé(s) le : mardi 1 octobre 2013 - 02:35:10

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2013SpinelliEtAl.pdf
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Distributed under a Creative Commons Paternité - Pas d'utilisation commerciale - Pas de modification 4.0 International License

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Lionel Spinelli, Philippe Gambette, Charles Chapple, Benoît Robisson, Anaïs Baudot, et al.. Clust&See: A Cytoscape plugin for the identification, visualization and manipulation of network clusters. BioSystems, Elsevier, 2013, 113 (2), pp.91-93. ⟨10.1016/j.biosystems.2013.05.010⟩. ⟨hal-00832028v2⟩

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