Unformatted text preview: structure of a protein from a linear chain of amino acids. These methods have been deployed in the biennial protein structure prediction competition called CASP. Biography Huzefa Rangwala’s research interests include bioinformatics, machine learning, and high performance computing. His research has resulted in the development of software packages for performing protein sequence classification (kernel-compute), predicting local structure and functional properties (PROSAT, MONSTER, TOPTMH. Recently, he has been involved in development of methods for integrating information from heterogeneous data, learning from unlabeled instances, and multi-label classification within the context of chemical and biological data. He has also started developing a prototype for fragment assembly for high throughput short reads. He got his PhD from the University of Minnesota in 2008. Computer Science Seminar Series, 2009 National Capital Region...
View Full Document
- Spring '14