DyNet: visualization and analysis of dynamic molecular interaction networks

Ivan Goenawan, Kenneth Byran, David Lynn

    Research output: Contribution to journalArticlepeer-review

    47 Citations (Scopus)

    Abstract

    The ability to experimentally determine molecular interactions on an almost proteome-wide scale under different conditions is enabling researchers to move from static to dynamic network analysis, uncovering new insights into how interaction networks are physically rewired in response to different stimuli and in disease. Dynamic interaction data presents a special challenge in network biology. Here, we present DyNet, a Cytoscape application that provides a range of functionalities for the visualization, real-time synchronization and analysis of large multi-state dynamic molecular interaction networks enabling users to quickly identify and analyze the most 'rewired' nodes across many network states. Availability and Implementation: DyNet is available at the Cytoscape (3.2+) App Store (http://apps.cytoscape.org/apps/dynet).

    Original languageEnglish
    Pages (from-to)2713-2715
    Number of pages3
    JournalBioinformatics
    Volume32
    Issue number17
    Early online date2016
    DOIs
    Publication statusPublished - 1 Sep 2016

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