The prime intellectual mission is to promote the development, implementation, and application of analytical and computational methods to foundational questions in the biological and medical sciences. The research programs of the Core Faculty in CCMB lie fundamentally at the intersection of computer science, evolutionary biology, mathematics, and molecular and cellular biology.
Data Science Insitute
Center for Computational Molecular Biology
CCMB
Celebrating 20 years of promoting the development, implementation, and application of analytical and computational methods to foundational questions in the biological and medical sciences
CCMB
Celebrating 20 years of promoting the development, implementation, and application of analytical and computational methods to foundational questions in the biological and medical sciences
Biological questions
Biological questions that currently unite the CCMB Core and Associate Faculty are:
- How do genotypes and genes interact to produce phenotypes, and how does this happen from womb to tomb?
- What drives the formation, maintenance and evolutionary transformations of communities of organisms over time?
- Quantitative questions that currently unite the CCMB faculty are: how can we design powerful algorithms to make sense of the sea of data produced in the genomic era?
- What principles are required for a theoretical framework to completely model cellular systems?
Research challenges
The research challenges at the heart of CCMB are a rich source of mathematical problems motivated by the complex nature of genomes, disease processes and evolutionary relationships. These challenges are both multi-scale (with units of interest ranging from molecules to communities of organisms) and large-scale (data-intensive, due to advances in sequencing technologies).
Explore CCMB
The Center for Computational Molecular Biology (CCMB) offers Ph.D. degrees in Computational Biology to train the next generation of scientists to perform cutting-edge research in the multidisciplinary field of Computational Biology.
The Predoctoral Training Program (T32) in Biological Data Science is funded by the National Institutes of Health/NIGMS award T32GM128596
Partnering
CCMB rounds out the broader landscape of research in methodological development at Brown University by partnering with and complementing:
https://www.youtube.com/embed/p3zBdW-ENtU
Ph.D. program in Computational Biology