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Dartmouth Wins $11M for Regional COBRE Center

NEW YORK (GenomeWeb News) – Dartmouth Medical School has reeled in an $11 million National Institutes of Health grant to establish a Center of Biomedical Research Excellence that will be a regional resource supporting bioinformatics and genomics research and training young investigators, Dartmouth said Monday.

The COBRE at Dartmouth will support a network in New England that includes researchers at the University of New Hampshire, the University of Maine, the University of Vermont, Harvard University's center for biomedical computing, the University of Southern Maine, The Jackson Laboratory, Mount Desert Island Biological Laboratory, and Maine Medical Center.

The funding will be used in efforts to recruit, train, and support young quantitative biologists that will teach and conduct research into the role of genes and the environment in causing or preventing disease.

"It also will provide funding to junior investigators for research projects, support bioinformatics and biostatistics research through an 'Integrative Biology Core,' build infrastructure in the form of a regional, high-performance computing grid, and recruit new faculty in bioinformatics, biostatistics, and related areas," Jason Moore, a Dartmouth computational geneticist and principal investigator on the grant, said in a statement.

Moore, who also is associate director for the Norris Cotton Cancer Center, said that the grant also will provide support for the Institute for Quantitative Biological Sciences, which was started a year ago with funding from DMS and the provost at Dartmouth College.

Dartmouth said that DMS is already home to an IDeA Network of Biomedical Research Excellence (INBRE) for faculty and students at undergraduate institutions around New Hampshire.

"This grant will encourage scientists to collaborate within and between projects, which I believe is the future of biomedical research," Moore added. "Each project pairs an experimental or observational biologist with a quantitative scientist from bioinformatics or biostatistics."