ProteoLens: a visual analytic tool for multi-scale database-driven biological network data mining

Background: New systems biology studies require researchers to understand how interplay among myriads of biomolecular entities is orchestrated in order to achieve high-level cellular and physiological functions. Many software tools have been developed in the past decade to help researchers visually navigate large networks of biomolecular interactions with built-in templatebased query capabilities. To further advance researchers' ability to interrogate global physiological states of cells through multi-scale visual network explorations, new visualization software tools still need to be developed to empower the analysis. A robust visual data analysis platform driven by database management systems to perform bi-directional data processing-to-visualizations with declarative querying capabilities is needed. Results: We developed ProteoLens as a JAVA-based visual analytic software tool for creating, annotating and exploring multi-scale biological networks. It supports direct database c...

• Type: Journal
• Year: 2008
• Where: BMCBI
• Authors: Tianxiao Huan, Andrey Y. Sivachenko, Scott H. Harrison, Jake Yue Chen
• Keywords: BMCBI 2008, Network Data, Network Data Association, Software Tool