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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 are centered around deciphering the evolutionary history of life through comparative analysis of genome sequences. He is focused on developing computational methods for RNA, protein, and genome sequence analysis using probabilistic modeling approaches. Eddy employs Bayesian likelihood-based statistical inference for large scale genome analysis and annotation. His work covers general areas including RNA structure and function, and he is developing new methods for RNA homology detection, structure prediction, and identification of conserved RNA structures through comparative genome sequence analysis. Additionally, Eddy has contributed to the improvement of remote protein homology detection methods and has been involved in the implementation of the HMMER software package.
Administered by the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (GSAS).