Since its founding in 2014, GCB has grown into a powerhouse for cross-discipline collaborations and research. We have 25 faculty and counting, many of whom have been recognized both inside and outside of Duke for their scientific contributions, and our core facilities have experienced substantial growth in demand and clients.
To continue to improve our operations and better serve Duke clients and researchers, GCB is expanding and will establish a strong presence in Duke’s downtown campus. Two of our core facilities, Sequencing and Genomic Technologies (SGT) Shared Resource and Proteomics and Metabolomics (P&M) Shared Resource, are relocating to the newly renovated Chesterfield building and increasing their capabilities.
GCB’s presence in the Chesterfield will open new doors for collaboration both with Duke researchers and researchers around the world. Duke is leasing 100,000 square feet of space in the 286,000-square foot building. SGT and P&M will be joined by labs in the Duke School of Medicine, the Pratt School of Engineering, and the Nicolas School of the Environment. In addition, Nutanix, a California-based digital storage software firm, and Biolab, a shared space model for start-ups and growing life sciences companies, will also reside in the Chesterfield.
The Chesterfield, located in Durham’s Innovation District, will become a new center of gravity in the life science and technology ecosystem, according to Wexford, the building’s developers. This expansion will allow GCB to foster, nurture, and expand interdisciplinary research conducted by our faculty and students, and it will help us become a leader in genomic research.
Our custom-built, state-of-the-art labs and office space will allow our core facilities to expand our staff, boost overall sample capacity, reduce turn-around time, and continue to add cutting-edge technology and instruments.
We will continue to operate all regular services and remain open for business during the transition.
Story was originally published on the Duke Center for Genomic and Computational Biology news page on July 3, 2017. View original