E9: Computational Biology II – Sequence Modeling and Analysis – 27247
(2 hrs/week, plus 1h exercises; 4 CP; Spring 2023, Lectures and Exercises)
This course will introduce students to fundamental problems in Bioinformatics/Computational Biology such as:
- Evolution: Mathematical models for the evolution of DNA sequences.
- Alignment and Phylogeny reconstruction: inferring evolutionary relationships between sequences.
- Functional annotation: Finding genes and regulatory sequences in fully sequenced genomes.
- Families of coding sequences: Hidden Markov models of protein domains
- Gene expression networks: Inferring regulatory factors driving gene expression.
Students should have a good understanding of calculus, linear algebra, combinatorics and algorithms and should be familiar with concepts of molecular biology.