BLACKSBURG, Va., March 4, 2013 – Virginia Bioinformatics Institute will hold its second annual Research Symposium on March 20, 2013 from 9 am to 4:30 pm. Held in VBI’s Conference Center and lobby, the event promises to be an excellent opportunity for those interested in bioinformatics research to network and discover current trends in the field.

Valérie de Crécy-Lagard

The guest speaker for this year’s symposium will be Valérie de Crécy-Lagard, associate professor in the Department of Microbiology, and the Cell Science and Genetics Institute at the University of Florida. De Crécy-Lagard will discuss the ways in which her team is using new methodologies to link genes and their function using comparative genomics.  This is important, because as the number of sequenced genomes increase, so do the number of new genes, and too many of these genes with unknown function lead to a rapid increase in annotation errors. She will discuss how important comparative genomics will become for every genomics researcher in the future. 

The talk will begin in the VBI Conference Center at 10:30 am.

Beginning at 9 am and following the keynote, rapid-fire poster presentations from students mentored by VBI faculty will be held in the Conference Center.  For the schedule and more information, see

Refreshments will be provided and a reception will be held at the Inn at Virginia Tech in Latham Room from 4:30 to 6:30pm.

About the Virginia Bioinformatics Institute

The Virginia Bioinformatics Institute at Virginia Tech is a premier bioinformatics, computational biology, and systems biology research facility that uses transdisciplinary approaches to science, combining information technology, biology and medicine. These approaches are used to interpret and apply vast amounts of biological data generated from basic research to some of today’s key challenges in the biomedical, environmental, and agricultural sciences. With more than 240 highly trained multidisciplinary, international personnel, research at the institute involves collaboration in diverse disciplines such as mathematics, computer science, biology, plant pathology, biochemistry, systems biology, computational immunology, statistics, economics, synthetic biology and medicine. The large amounts of data generated by this approach are analyzed and interpreted to create new knowledge that is disseminated to the world’s scientific, governmental and wider communities.



Kathy O’Hara

March 09, 2013