Mathematical Molecular Biology II

This module is intended to give students an understanding and knowledge of the application of mathematical or algorithmic methods to defined problems in molecular biology. The focus is primarily on problems involving mutation discovery and evolutionary inference.

Learning Outcomes
1. describe how genes and genomes can change between generations;
2. apply algorithmic methods to infer unknown genotypes in a sample;
3. understand how genome structure alters mutation discovery power;
4. use DNA linkage patterns to assess evolutionary neutrality in a population;
5. infer historical changes in genetic diversity for defined examples;
6. outline fundamental concepts in molecular evolution;
7. use population genetic methods to measure mutation at a gene;
8. outline methods for genome-wide association studies using simple data.