Principles of computational and genomic biology. Covers evolutionary, algorithmic, and statistical foundations of sequence analysis, allowing students to understand concepts underlying modern computational methods. Practical applications will be pursued in student-coordinated sessions.
MSAs, HMMs and structure prediction (again)
How to design experiments: Active site prediction
Assessing methods for target-template alignment