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Remo Rohs is a Professor of Quantitative and Computational Biology at the University of Southern California. His current research focuses on the integration of studies in genomics and structural biology to uncover molecular mechanisms that underpin gene regulation. With extensive training in DNA-protein structure analysis, he aims to develop novel methodologies for high-throughput prediction of DNA shape and genome-wide analysis of sequence structure. The work in his laboratory involves using bioinformatics analyses and modeling to decipher DNA methylation data and to probe the roles of transcription factor binding specificity and protein-DNA interactions across various biological contexts. Rohs's past postdoctoral research has equipped him with insights into the structural dynamics of nucleic acids, and he actively collaborates on projects that contribute to the emerging field of computational structural biology. His research interests encompass statistical machine learning, DNA shape recognition, and the physicochemical modeling of protein interactions, solidifying his reputation as a leader in these disciplines.
Department of Quantitative and Computational Biology • University of Southern California
Department of Biological Sciences, Chemistry, Physics & Astronomy, Computer Science • University of Southern California
Department of Biological Sciences, Chemistry, Physics & Astronomy, Computer Science • University of Southern California
Department of Biological Sciences, Chemistry, Physics & Astronomy, Computer Science • University of Southern California
GRE is NOT required for Master's applicants for 2025-2026.