DyNet: visualization and analysis of dynamic molecular interaction networks

Bioinformatics. 2016 Sep 1;32(17):2713-5. doi: 10.1093/bioinformatics/btw187. Epub 2016 May 3.


: 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).

Contact: david.lynn@sahmri.com

Supplementary information: Supplementary data are available at Bioinformatics online.

MeSH terms

  • Computational Biology*
  • Gene Regulatory Networks*
  • Genomics
  • Humans
  • Metabolic Networks and Pathways
  • Software*