Offering the latest tools and expertise in genome sequencing, gene expression, proteomics and computational analytics.
Opportunities abound for undergraduate students. Undergrads have many choices including Independent Study and the Genome Sciences & Policy Certificate.
Approximately 20 faculty members with interdisciplinary skill sets across Duke's campus.
GCB Academy
GCB will launch a series of free, non-credit courses covering a variety of topics related to computational analysis of genomic, proteomic, and metabolomic data.
A graduate program in computational and quantitative methods.
GCB Members work across departments and schools to address key questions in genomic and computational biology and their broader implications.

What We Do

The mission of GCB is to foster excellence in genomics and computational biology across Duke’s campus. We do this through our research collaborations, educational activities, and core facilities. We are passionate about interdisciplinary research that dissolves the distinction between the wet lab and quantitative analysis. Our research collaborations extend to many other units on campus. We are also dedicated to training the current and next generation of researchers. Our educational programs support undergraduates, graduate students, and senior researchers with a variety of classes, hands-on workshops, and research opportunities. We operate six core facilities that provide expertise and services in genomic and computational technologies and in data analysis. We leverage these educational and service components to support the broader campus community by developing and disseminating next-generation technologies and best practices for research in genomic and computational biology.

Who We Are

We are a group of researchers who thrive in a highly collaborative, multidisciplinary environment. We come from the schools of medicine, engineering, environment, and arts & sciences. We apply modeling and experimentation to understand and design complex biological systems using a wide range of approaches and model systems.

What unites us is not so much the topic as the way we go about our research. We like to work in tightly knit teams, integrating approaches from different disciplines to solve problems that can’t easily be tackled within traditional departments. And we enjoy developing innovative methods to generate unique data sets and formulating novel analytical approaches to analyze them.