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BMC Bioinformatics. 2012 Aug 16;13:204.

Enabling dynamic network analysis through visualization in TVNViewer.

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  • 1Joint Carnegie Mellon, University of Pittsburgh PhD Program in Computational Biology, Pittsburgh, PA, USA.

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.

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