ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining
2008
ProteoLens: A Tool for Analyzing Biological Networks
publication
Evidence: moderate
Author Information
Author(s): Huan Tianxiao, Sivachenko Andrey Y, Harrison Scott H, Chen Jake Y
Primary Institution: Indiana University – Purdue University, Indianapolis, IN, USA
Hypothesis
Can a new visual analytic software tool improve the analysis of multi-scale biological networks?
Conclusion
ProteoLens is a promising platform that facilitates knowledge discoveries in network and systems biology studies.
Supporting Evidence
- ProteoLens supports direct database connectivity to Oracle and PostgreSQL.
- It allows users to create, annotate, and explore biological networks.
- The software enables iterative visual analysis without leaving the platform.
Takeaway
ProteoLens helps scientists visualize and analyze complex biological networks, making it easier to understand how different parts work together.
Methodology
ProteoLens was developed as a JAVA-based software tool that connects to databases and allows users to create and explore biological networks.
Digital Object Identifier (DOI)
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