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VEGA Viral EcoGenomics and Applications

The VEGA Symposium

In parallel with the 2018 Meeting, the JGI hosted the first ever Viral EcoGenomics and Applications (VEGA) Symposium.

Viral EcoGenomics and Applications (VEGA) 2018:
Big data approaches to help characterize earth’s Virome

The goals of the workshop 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.

March 14 – 15, 2018, at the Hilton San Francisco in Union Square

Agenda and Speakers

Go here to see the full agenda.

Keynote Speakers

  • Joe DeRisi, UCSF
  • Eugene Koonin, NCBI
  • Marilyn J. Roossinck, Penn State

Other Confirmed Speakers

  • Siobain Duffy, Rutgers University
  • Britt Koskella, UC Berkeley
  • Sylvain Moineau, Laval University , Québec
  • Matt Sullivan, Ohio State University
  • Lisa Zeigler-Allen, J. Craig Venter Institute

JGI Organizers

Emiley Eloe-Fadrosh, Natalia Ivanova, Nikos Kyrpides, Rex Malmstrom, David Paez-Espino, Simon Roux, Tanja Woyke

External Co-Organizers

Devaki Bhaya (Stanford), Joanne Emerson (UC Davis), Vivek Mutalik (LBNL), Matt Sullivan (OSU), Lisa Zeigler-Allen (JCVI)

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.

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