Statistical Methods in Bioinformatics
Semester 2, 2011
Announcements
Staff
Schedule
- Lecture (Carslaw 829 - GRID room): Tue 2-3pm
- Lecture (Carslaw 829 - GRID room): Thu 12-1pm
- Office Hour (Carslaw 821): Mon 5:30pm
Grading Structure and Schedule
- Roughly 5 assignments (50% of the course grade)
- A final (50% of the grade)
References
- Richard Durbin et al. Biological Sequence Analysis
- Warren Ewens, Gregory Grant Statistical Methods in Bioinformatics 2nd Edition.
Syllabus
- Biological introduction
- DNA sequencing and the Lander-Waterman model
- Pairwise sequence alignment using dynamic programming
- Substitution matrices
- Database similarity search and seeded or hashed alignment
-
The statistical significance analysis of an optimal pairwise alignment (Karlin-Altschul, Dembo-Karlin-Zeitouni)
- Hidden Markov Models
- Most likely decoding - the Viterbi algorithm
- Posterior estimation - the forward and backward algorithms
- Parameters estimation - the Baum-Welch algorithm and the EM algorithm in general
- Profile HMMs
- Gene finding
- Mass spectrometry: statistical analysis of an optimal PSM