BLACKSBURG, Va. , May 17, 2011 – Vendors from leading high-performance computing corporations, bioinformatics software solution providers, antibody production companies, genome sequencing platform manufacturers, and interested stakeholders were in attendance, with over 100 registered participants.
Kevin Shinpaugh, director of Information Technology and Computer Services, unveiled VBI’s condo computing plan during his lecture. In the past, many researchers throughout academia have been forced to duplicate resources simply to be able to perform their research. Condo computing allows groups of researchers to build high-performance computing clusters suited to their various needs together, thus sharing the burden of expense and maintenance.
Executive Director Harold “Skip” Garner also discussed VBI’s plan to bring Lonza’s Amaxa 96-well Shuttle System to VBI. The Amaxa 96-well Shuttle System will allow highly efficient transfection of neurons at a later developmental stage, aiding in neurobiology research.
Tours of VBI’s Core facilities and demonstrations of high-performance computing, bioinformatics software, and genome sequencing products took place throughout the day.
About 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, 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.
May 17, 2011