CS598 SS Probabilistic Methods for Biological Sequence Analysis (Spring 2008)
Instructor: Saurabh Sinha
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Meeting : Spring 2008, 3:30 pm - 4:45 pm, Tuesdays & Thursdays, Room 1103, Seibel Center.
Call number : 43781
Credits : 4 graduate hours.
Instructor: Saurabh Sinha (sinhas AT cs DOT uiuc DOT edu, office: 2122 Siebel Center)
Text books are optional. Some of the lectures will follow the treatment in some of the chapters in these books.
- Biological sequence analysis: Probablistic Models of Proteins and Nucleic Acids. Durbin, Eddy, Krogh, Mitchison. Amazon pointer
- Bioinformatics: The Machine Learning Approach. Baldi and Brunak.Amazon pointer
- Statistical Methods in Bioinformatics. Ewens and Grant. Amazon pointer
Programming, basic probability and statistics.
Students with non-CS background may enroll with the instructor's consent.
The course will comprise instructor's lectures interspersed with student presentations of research papers. Each student will be expected to present one paper in class. A major component of the course will be a research project, with substantial programming requirement in addition to algorithm design, experimentation with biological data, etc.
- Course project: 40 %
- Paper presentation: 20 %
- Assignments and/or tests: 20%.
- Class Participation: 20 %.