| dbo:abstract |
The Biocomplexity Institute of Virginia Tech (formerly the Virginia Bioinformatics Institute) is a research organization specializing in bioinformatics, computational biology, and systems biology. The institute has more than 250 personnel, including over 50 tenured and research faculty. 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 institute develops -omic and bioinformatic tools and databases that can be applied to the study of human, animal and plant diseases as well as the discovery of new vaccine, drug and diagnostic targets. The institute's programs are supported by a variety of government and private agencies including the National Institutes of Health, National Science Foundation, U.S. Department of Defense, U.S. Department of Agriculture, and U.S. Department of Energy. Since inception, the Biocomplexity Institute has received over 179millioninextramuralsupport.Ithasaresearchportfoliototaling179 million in extramural support. It has a research portfolio totaling 179millioninextramuralsupport.Ithasaresearchportfoliototaling68 million in grants and contracts. The institute's executive director was Chris Barrett. In 2019, the institute was absorbed into the after many faculty members, including Dr. Barrett, were hired away to form the . (en) |
| rdfs:comment |
The Biocomplexity Institute of Virginia Tech (formerly the Virginia Bioinformatics Institute) is a research organization specializing in bioinformatics, computational biology, and systems biology. The institute has more than 250 personnel, including over 50 tenured and research faculty. 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 institute develops -omic and bioinformatic tools and databases that can be applied to the study of human, animal and plant diseases as well as the discovery of new vaccine, drug and diagnostic targets. (en) |
