MetNetGE: interactive views of biological networks and ontologies

Background: Linking high-throughput experimental data with biological networks is a key step for understanding complex biological systems. Currently, visualization tools for large metabolic networks often result in a dense web of connections that is difficult to interpret biologically. The MetNetGE application organizes and visualizes biological networks in a meaningful way to improve performance and biological interpretability. Results: MetNetGE is an interactive visualization tool based on the Google Earth platform. MetNetGE features novel visualization techniques for pathway and ontology information display. Instead of simply showing hundreds of pathways in a complex graph, MetNetGE gives an overview of the network using the hierarchical pathway ontology using a novel layout, called the Enhanced Radial Space-Filling (ERSF) approach that allows the network to be summarized compactly. The non-tree edges in the pathway or gene ontology, which represent pathways or genes that belong to...

• Type: Journal
• Year: 2010
• Where: BMCBI
• Authors: Ming Jia, Suh-Yeon Choi, Dirk Reiners, Eve Syrkin Wurtele, Julie A. Dickerson
• Keywords: Biological Networks, BMCBI 2010, Business, Ontology, Visualization Tool