CHAT

Identify contextually relevant hubs in biological networks
Highly connected nodes (hubs) in biological networks are topologically important to the structure of the network and have also been shown to be preferentially associated with a range of phenotypes of interest. The relative importance of a hub node, however, can change depending on the biological context. Here, we report a Cytoscape App, the Contextual Hub Analysis Tool (CHAT), which enables users to easily construct and visualize a network of interactions from a gene or protein list of interest, integrate contextual information such as gene expression or mass spectrometry data, and identify hub nodes that are more highly connected to contextual nodes (e.g. genes or proteins that are differentially expressed) than expected by chance. In a case study, we show that such contextual hubs are considerably more biologically relevant than degree-based hubs.

1.0.3

Works with Cytoscape 3.0

Release Notes

remove limitation of minimum number of entries (10000) for databases

1.0.2

Works with Cytoscape 3.0

Release Notes

update documentation

1.0.1

Works with Cytoscape 3.0

Release Notes

fixed bug: unknown interaction types not shown

1.0.0

Works with Cytoscape 3.0

Release Notes

initial release

CYTOSCAPE 3

Version 1.0.3

License Click here

Released 19 Nov 2016

Works with Cytoscape 3.0

Download Stats Click here