Computational Biology, Bioinformatics, and Genomics (CBBG)
The Computational Biology, Bioinformatics and Genomics (CBBG) concentration area provides specialized multi-disciplinary training and research opportunities in different aspects of computational biology and genomics and prepares students for scholarship and leadership in the field. Challenges in computational biology and genomics range from understanding sequence data to the analysis of protein structure and protein-protein interactions, prediction and high-throughput assessment of biological function and the study of gene networks. The massive and ongoing influx of data from sequencing projects underscores the need for new and large-scale experimental, computational and theoretical tools in modern biology. Those tools are essential for analyzing and integrating the complex data to better understand the biology of living things.
Students from diverse backgrounds, including biological sciences and chemistry, computer science, mathematics, physics, statistics, and related areas, are encouraged to apply.