Network Representations of Biological Information
The representation of biological information as a network has found many uses in experimental and computational biology. Pathways, protein-protein interaction networks, protein similarity networks, and ligand similarity networks are some examples of network representations of biological information. In this talk, I'll provide an overview of biological networks and some of the common analytical and visualization approaches used in conjunction with the approach. I'll then present some of the work being done by the Resource for Biocomputing, Visualization, and Informatics at UCSF to enhance the Cytoscape open source bioinformatics platform for both enhanced analysis and visualization of biological networks. Finally, I'll conclude with a preview of the upcoming Cytoscape 2.8 release.
John "Scooter" Morris is the Executive Director of the Resource for Biocomputing, Visualization, and Informatics at the University of California, San Francisco. Before finding his home in academia, he was a Distinguished Systems Architect at Genentech, Inc., where for 19 years, he participated in the joys and trials of life in industry. He received his Ph.D. in Medical Information Science from UCSF in 1990, and has bachelorsâ€™ degrees in Physics, Biology, and Computer Science from UC Irvine. Scooter is a member of the Cytoscape core development team, and author of several Cytoscape plugins and core features. In his "spare time" he is the Vice President for Conferences of the ACM Special Interest Group for Computers and Human Interaction (SIGCHI) and he is known to voluntarily jump off perfectly good boats near Alcatraz Island for a brisk swim to shore.