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.
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal-upec-upem.archives-ouvertes.fr/hal-00832028
Contributor : Philippe Gambette <>
Submitted on : Sunday, June 30, 2013 - 8:14:50 AM
Last modification on : Monday, April 8, 2019 - 1:32:04 PM
Long-term archiving on : Tuesday, October 1, 2013 - 2:35:10 AM

File

2013SpinelliEtAl.pdf
Publisher files allowed on an open archive

Licence


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License

Identifiers

Citation

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⟩

Share

Metrics

Record views

1779

Files downloads

665