VEGA, Viral EcoGenomics & Applications
March 22 – 23, 2020, at the Oakland Marriott City Center
Hosted by the JGI, the goals of this Symposium are to bring together a “Viral Ecogenomics” community to foster discussion on how to best capture and characterize uncultivated viruses, understand the role of viruses in natural ecosystems, and functionally explore viral genetic diversity toward innovative biotechnological and industrial applications.
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Agenda and Speakers
- Jennifer Doudna, University of California Berkeley
- Mart Krupovic, Institut Pasteur
- Karen Maxwell, University of Toronto
- Eddy Rubin, Science Corps
Other Confirmed Speakers
- Shannon Bennett, Cal Academy of Sciences, San Francisco
- Paul Bollyky, Stanford University
- Bonnie Hurwitz, Arizona University
- David Pride, University of California, San Diego
- Frederik Schulz, DOE Joint Genome Institute
- Rachel Whitaker, University of Illinois
- Natalya Yutin, NCBI NIH
Emiley Eloe-Fadrosh, Nikos Kyrpides, Rex Malmstrom, David Paez-Espino, Simon Roux, Tanja Woyke, Frederik Schulz
Joanne Emerson (UC Davis), Vivek Mutalik (LBNL), Lisa Zeigler-Allen (JCVI), Eugene Koonin (NCBI), Shannon Bennett (CAS)
Overview of Symposium
The workshop will focus on experimental innovations, computational advances, and other technological developments that will enable researchers to move from observation to predictive and prescriptive analysis. Specifically, a main objective of this workshop is to enable big data for viral ecogenomics, i.e. envisioning the methods, resources, and integrative approaches to further characterize the millions of uncultivated viruses researchers started to unveil, and address long-standing fundamental biological questions while inspiring new biotechnological and industrial applications.
Participants will notably be invited to open discussions designed to shape the future design of IMG/VR (the database of uncultivated viral genomes) to maximize its usefulness for the different actors in the field (i.e. gene-centric experimental approaches, ecosystem models, host-based evolutionary analysis, etc), as well as frame a potential viral-focused call for projects at JGI.