Current Research
Computational Genomics

Sean Eddy is interested in deciphering the evolutionary history of life by comparative analysis of genome sequences. Eddy and his team are focused on the development of computational methods for RNA, protein, and genome sequence analysis. They use probabilistic modeling approaches to build statistical models of interesting biological features, and then use such models for statistical inference in large-scale genome analysis and annotation. The team is particularly interested in methods for identifying remote evolutionary relationships between distantly related protein and RNA sequences.

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