Event Detail (Archived)
Sequence Homology Searches: The Future of Deciphering the Past
Peter H. Sellers Lecture
- This event already took place in March 2019
- Carson Family Auditorium (CRC)
Event Details
- Type
- Center for Studies in Physics and Biology Seminars
- Speaker(s)
-
Sean Eddy, Ph.D., Ellmore C. Patterson Professor of Molecular and Cellular Biology and of Applied Mathematics, Harvard University; investigator, Howard Hughes Medical Institute
- Open to
- Public
- Contact
- Melanie Lee
- Phone
- (212) 327-8636
- Sponsor
-
Melanie Lee
(212) 327-8636
leem@rockefeller.edu - Notes
- Computational recognition of distant sequence homology is a key to studying ancient events in molecular evolution. The better our sequence analysis methods are, the deeper in evolutionary time we can see. A major aim in the field is to improve the resolution of homology recognition methods by building increasingly realistic, complex, parameter-rich models. I will describe current and future research in homology search algorithms based on probabilistic inference methods, including hidden Markov models (HMMs) and stochastic context-free grammars (SCFGs). We make these methods available in the HMMER and Infernal software from my laboratory, in collaboration with sequence family databases including Pfam and Rfam.