Display Settings:

Format

Send to:

Choose Destination
BMC Bioinformatics. 2012 Aug 16;13:204.

Enabling dynamic network analysis through visualization in TVNViewer.

Author information

  • 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.

PMID:
22897913
[PubMed - indexed for MEDLINE]
PMCID:
PMC3447684
Free PMC Article

Images from this publication.See all images (12)Free text

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for BioMed Central Icon for PubMed Central
    Loading ...
    Write to the Help Desk