Abstract
Highly connected nodes in biological networks are called network hubs. Hubs are topologically important to the structure of the network and have 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 provide a step-by-step protocol for using the Contextual Hub Analysis Tool (CHAT), an application within Cytoscape 3, 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 or protein expression data, and identify hub nodes that are more highly connected to contextual nodes than expected by chance.
Original language | English |
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Pages (from-to) | 8.24.1-8.24.13 |
Journal | Current Protocols in Bioinformatics |
Volume | 2017 |
DOIs | |
Publication status | Published or Issued - 1 Sept 2017 |
Keywords
- CHAT
- Contextual hub analysis
- Cytoscape 3
- Gene expression
- Network analysis
ASJC Scopus subject areas
- Structural Biology
- Biochemistry