Computational Biology, Bioinformatics, and Genomics
The massive and ever-increasing influx of diverse biological data, spurred by unprecedented advances in sequencing technologies, has resulted in a paradigm shift in the approaches to biomedical research. The need to integrate and analyze complex data has rendered the field of Computational Biology, Bioinformatics and Genomics critical to biomedical research. Becoming a proficient biomedical researcher thus requires an integrative training in multiple fields spanning life science, computer science, mathematics, statistics, and engineering.
The CBBG concentration area aims to foster the next generation of scientists via multi-disciplinary training and research opportunities in different aspects of computational biology and genomics. Interests and expertise of CBBG faculty cover a broad range of topics including Next generation sequencing data analysis, Genome assembly, Metagenomics, Molecular evolution, Functional genomics, Proteomics, Transcriptional and post-transcriptional regulation, Epigenomics, protein structure, determination and analysis of protein-protein interaction networks, population genomics, and systems biology.