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Abstract
This course introduces students to computational and statistical approaches for preprocessing, analyzing and interpreting genetic datasets in the context of human health and disease.
Objective
Students get a good theoretical foundation and practical confidence in: 1. Bioinformatics tools for sequencing and genotyping data preprocessing and quality control 2. Assessment of genetic architecture of complex phenotypes 3. Association tests 4. Phenotype prediction
Content
Mix of lectures and code-/presentation-based exercise sessions 1. 2 weeks on sequence bioinformatics 2. 2 weeks on structure in genetic data 3. 5 weeks on genetic architecture 4. 2 weeks on predictions and inferences 5. 2 weeks on genome to function
Resources
Lecture Notes
Lecture slides will be made available through Moodle a week in advance of each lecture
Literature
The reading list will be made available at the beginning of the course. Papers to be read during the journal club sessions (part of the exercises) will be made available through Moodle a week in advance of the respective exercis esession (students will be notified during exercise session in the week before).