I have a network consisting of Bidirectional Best Hits (BBH) and would like to identify quasi cliques in the network at different edge density. A tool (http://www.biomedcentral.com/1471-2105/7/31/) was available, but it has limitation with the number of edges. More than 2000 edges and it crashes. Cytoscape has Mcode, but it cannot be embedded in script easily.
Does anyone know a tool for identifying quasi-cliques in a graph?
You may try Tulip (http://tulip.labri.fr/TulipDrupal/ from David Auber (LaBRI, Bordeaux, France) : Through its hierarchical graph data structure Tulip enables any attribute based clustering. Furthermore it also provides graph based clustering algorithm.
Through the Tulip Clustering plugin technology one can easily add new Clustering method.
Hi harpreet,
Try the Transitivity Clustering program...available through http://transclust.mmci.uni-saarland.de/main_page/index.php . It is available as a standalone version and also as plugins for cytoscape. Hope this helps...
- Badges
- Science method
- Similar topics
- Biological Science
- Evolutionary Biology
- Phylogenetics
- Phylogenetic Analysis