Enabling dynamic network analysis through visualization in TVNViewer

BMC Bioinformatics. 2012 Aug 16:13:204. doi: 10.1186/1471-2105-13-204.

Abstract

Background: Many biological processes are context-dependent or temporally specific. As a result, relationships between molecular constituents evolve across time and environments. While cutting-edge machine learning techniques can recover these networks, exploring and interpreting the rewiring behavior is challenging. Information visualization shines in this type of exploratory analysis, motivating the development ofTVNViewer (http://sailing.cs.cmu.edu/tvnviewer), a visualization tool for dynamic network analysis.

Results: In this paper, we demonstrate visualization techniques for dynamic network analysis by using TVNViewer to analyze yeast cell cycle and breast cancer progression datasets.

Conclusions: TVNViewer is a powerful new visualization tool for the analysis of biological networks that change across time or space.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Breast Neoplasms / genetics
  • Cell Cycle / genetics
  • Computer Graphics*
  • Female
  • Gene Regulatory Networks*
  • Humans
  • Saccharomyces cerevisiae / genetics
  • Software*