DyNet: Visualization and analysis of dynamic molecular interaction networks

Ivan H. Goenawan, Kenneth Bryan, David J. Lynn

Research output: Contribution to journalArticle

26 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).

LanguageEnglish
Pages2713-2715
Number of pages3
JournalBioinformatics
Volume32
Issue number17
DOIs
Publication statusPublished - 1 Sep 2016
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Cite this

Goenawan, Ivan H. ; Bryan, Kenneth ; Lynn, David J. / DyNet : Visualization and analysis of dynamic molecular interaction networks. In: Bioinformatics. 2016 ; Vol. 32, No. 17. pp. 2713-2715.
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DyNet : Visualization and analysis of dynamic molecular interaction networks. / Goenawan, Ivan H.; Bryan, Kenneth; Lynn, David J.

In: Bioinformatics, Vol. 32, No. 17, 01.09.2016, p. 2713-2715.

Research output: Contribution to journalArticle

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