title: Clust&See: a Cytoscape plugin for the identification, visualization and manipulation of network clusters.
abstract: OBJECTIVE
  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.
  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.
authors.affiliation: Institut de Mathématiques de Luminy, CNRS - FRE3529, Avenue de Luminy, 13288 Marseille Cedex 9, France.
authors.forename: Lionel
authors.initials: L
authors.lastname: Spinelli
authors.forename: Philippe
authors.initials: P
authors.lastname: Gambette
authors.forename: Charles E
authors.initials: CE
authors.lastname: Chapple
authors.forename: Benoît
authors.initials: B
authors.lastname: Robisson
authors.forename: Anaïs
authors.initials: A
authors.lastname: Baudot
authors.forename: Henri
authors.initials: H
authors.lastname: Garreta
authors.forename: Laurent
authors.initials: L
authors.lastname: Tichit
authors.forename: Alain
authors.initials: A
authors.lastname: Guénoche
authors.forename: Christine
authors.initials: C
authors.lastname: Brun
mesh_terms: D003626:Data Display; D008954:Models, Biological; D060066:Protein Interaction Maps; D012984:Software
keywords: Clustering; Graph partitioning; Interaction networks; Visualization