EVOLUTIONARY NETWORK ANALYSES AND VISUALIZATION
A collaborative workshop between scientists and graphic designers.
October 26 and 27, 2012
Advances in genomics have led to an explosion in the amount and complexity of data to be analyzed and mined. Gene networks (mathematical graphs illustrating sequence relationships in user-generated datasets), are an extremely useful tools for analyzing and mining genetic information for evolutionary relationships. This workshops explores: 1) the use of gene networks to study evolutionary relationships between organisms, and 2) the challenges and opportunities in visualization of these networks.
Sponsored by the Rhode Island Agricultural Experimental Station, Rhode Island School of Design, and Rhode Island NSF EPSCoR. Thanks to Brown University’s new Institute for Computational and Experimental Research in Mathematics (ICERM) for providing space for this event.
This workshop is part of a broader multi-year initiative between RISD, URI, Brown University and other members of the Rhode Island EPSCoR network. This workshop is an example of several projects geared to fostering collaborations that advance data visualization and science communication around marine science, climate science and other key areas of investigation among EPSCoR institutions. For a sampling of these collaborations see http://expspace.risd.edu/.
Workshop organizers: Marta Gomez-Chiarri (email@example.com) and Chris Lane, University of Rhode Island; Clement Valla, Neal Overstrom, and Charlie Cannon, Rhode Island School of Design.