Using the Contextual Hub Analysis Tool (CHAT) in Cytoscape to Identify Contextually Relevant Network Hubs

Tanja Meutze, David Lynn

    Research output: Contribution to journalArticlepeer-review

    4 Citations (Scopus)

    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 languageEnglish
    Pages (from-to)8.24.1-8.24.13
    Number of pages13
    JournalCurrent Protocols in Bioinformatics
    Volume59
    Issue number1
    DOIs
    Publication statusPublished - 1 Sept 2017

    Keywords

    • CHAT
    • Contextual hub analysis
    • Cytoscape 3
    • Gene expression
    • Network analysis

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