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Sean Eddy is the Ellmore C. Patterson Professor of Molecular and Cellular Biology at Harvard University and an Investigator at the Howard Hughes Medical Institute. His research interests lie in deciphering the evolutionary history of life through comparative analysis of genome sequences. He focuses on the development of computational methods for RNA, protein, and genome sequence analysis. Eddy employs probabilistic modeling approaches to build statistical models that capture important biological features and utilizes these models for Bayesian likelihood-based statistical inference in large-scale genome analysis and annotation. His current work emphasizes RNA structure and function, where he develops new methods for RNA homology detection, RNA structure prediction, and the identification of conserved RNA structures from comparative genome sequence analyses, including noncoding RNA genes and cis-regulatory RNA structures. Additionally, he is improving methods for remote protein homology detection, which has been implemented in the HMMER software package.
Administered by the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (GSAS).