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PMID: 19040716 Published · epublish English Journal Article

A survey of visualization tools for biological network analysis.

BioData mining ·Vol. 1 ·2008-11-28 ·Pages 12

Pavlopoulos GA, Wegener AL, Schneider R

Abstract

The analysis and interpretation of relationships between biological molecules, networks and concepts is becoming a major bottleneck in systems biology. Very often the pure amount of data and their heterogeneity provides a challenge for the visualization of the data. There are a wide variety of graph representations available, which most often map the data on 2D graphs to visualize biological interactions. These methods are applicable to a wide range of problems, nevertheless many of them reach a limit in terms of user friendliness when thousands of nodes and connections have to be analyzed and visualized. In this study we are reviewing visualization tools that are currently available for visualization of biological networks mainly invented in the latest past years. We comment on the functionality, the limitations and the specific strengths of these tools, and how these tools could be further developed in the direction of data integration and information sharing.

Authors & Affiliations
3 authors, click to expand affiliations / ORCID
Pavlopoulos Georgios A
Structural and Computational Biology Unit, EMBL, Meyerhofstrasse 1, Heidelberg, Germany. pavlopou@embl.de
Wegener Anna-Lynn
Schneider Reinhard
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Article Info
Journal
BioData mining
Abbr.
BioData Min
ISSN
1756-0381
DOI
10.1186/1756-0381-1-12
Email
pavlopou@embl.de
Published
2008-11-28
Epub
2008-00-28
Pages
12
Language
English
Region
England
NLM ID
101319161
PMCID
PMC2636684
External Links
PubMed source DOI: 10.1186/1756-0381-1-12 PMC Full Text View journal details
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