Analysis and Visualization of Dynamic Networks Using the DyNet App for Cytoscape

John Salamon, Ivan Goenawan, David Lynn

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Biological processes are regulated at a cellular level by tightly controlled molecular interaction networks, which are collectively known as the interactome. The interactome is not a static entity, but instead is dynamically reorganized or “rewired” under varying temporal, spatial, and environmental conditions. Most network analysis and visualization tools have, to date, been developed for static representations of molecular interaction data. Here, we describe a protocol that provides a step-by-step guide to DyNet, a Cytoscape 3 application that facilitates the visualization and analysis of dynamic molecular interaction networks. DyNet represents a dynamic network as a set of state graphs that are synchronized in their layout. This synchronization is managed in real time and is automatically updated when a graph is manipulated by a user (e.g., dragging, zooming, moving a node). DyNet also provides several statistical tools enabling users to quickly identify and analyze the most ‘rewired’ nodes across many network states.

Original languageEnglish
Article numbere55
JournalCurrent Protocols in Bioinformatics
Volume63
Issue number1
Early online date2018
DOIs
Publication statusPublished - Sep 2018

Keywords

  • Cytoscape 3
  • dynamic network
  • DyNet
  • network analysis

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