Computational biology involves applying computational methods to address biological questions and challenges. Our faculty are pioneering new directions in the field of computational biology and medicine, in close collaboration with researchers at the world-renowned Johns Hopkins Medicine.

Johns Hopkins University is home to a strong network of scientists working in computational genomics, with diverse interests in many kinds of computational and statistical analyses of genomes.


Research Centers and Groups

Center for Computational Genomics

CCG is a multi-disciplinary initiative to support research and education in the field of Computational Genomics.

Institute for Computational Medicine (ICM)

ICM develops quantitative approaches for understanding the mechanisms, diagnosis and treatment of human disease through applications of mathematics, engineering and computer science.

Center for Computational Biology

CCB is a multidisciplinary center dedicated to research on genomics, genetics, and DNA sequencing technology. Researchers develop and apply technology that uses sequence data to study a wide range of questions, including how genes cause disease, how genes change in response to different conditions within the cell, and how genomes evolve.

Center for Imaging Science

Members are developing tools to extract patterns and meaning from various types of large-scale datasets, and are applying this knowledge to guide new advances in facial recognition software, vision-based navigation systems for robots and self-driving cars, disease diagnosis and treatment, and more.

New software cuts time, cost of gene sequencing

Johns Hopkins team led by Michael C. Schatz has developed new software that could revolutionize how DNA is sequenced, making it far faster and less expensive to map anything from yeast genomes to cancer genes.