After the course, the participants will have detailed knowledge of the methods and applications required to perform a typical population genomic study.
The participants must, at the end of the course, be able to:
- Identify an experimental platform relevant to a population genomic analysis.
- Apply commonly used population genomic methods.
- Explain the theory behind standard population genomic methods.
- Reflect on the strengths and limitations of population genomic methods.
- Interpret and analyze results of population genomic inference.
- Formulate population genetics hypotheses based on data
The course introduces fundamental concepts in population genomics, from generating population genetic data sets to the most common population genetic analyses and association studies. The course's first part focuses on generating population genetic data sets. The second part introduces the most common population genetic analyses and their theoretical background. Here, topics include analysis of demography, population structure, recombination, and selection. The last part of the course focuses on applications of population genetic data sets for association studies relating to human health.