Clust&See: A Cytoscape plugin for the identification,visualization and manipulation of network clusters |
| |
| Authors: | Lionel Spinelli Philippe Gambette Charles E Chapple Benoît Robisson Anaïs Baudot Henri Garreta Laurent Tichit Alain Guénoche Christine Brun |
| |
| Institution: | 1. Institut de Mathématiques de Luminy, CNRS – FRE3529, Avenue de Luminy, 13288 Marseille Cedex 9, France;2. Techniques Avancées pour le Génome et Clinique, INSERM – U1090, Avenue de Luminy, 13288 Marseille Cedex 9, France;3. Laboratoire d’Informatique Fondamentale de Marseille, CNRS – UMR7279, Avenue de Luminy, 13288 Marseille Cedex 9, France;4. Aix-Marseille Université, Campus de Luminy, 13288 Marseille Cedex 9, France;5. CNRS, France |
| |
| Abstract: | Background and scopeLarge 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 performanceClust&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: | Interaction networks Graph partitioning Clustering Visualization |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
