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Quantitative Genetics and Genomics
Last Updated: 2026-06-03 00:14:08
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).
General Information
- Language
- English
- Levels
- DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- end-of-semester examination
- Mode
- written 120 minutes
- Aids
- None
Registration & Places
- Max Places
- 50
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Quantitative Genetics and Genomics
The course takes place in classroom in BASEL.
Atteniont: the lecture will not take place on 25 February (Fasnacht in Basel).
|
|
3 h weekly |
Offered In
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Electives (Open list - other courses (ETH or UNIBAS) may be taken as electives upon approval of the mentor.)
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Computational Biology and Bioinformatics Master (More informations at: )
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Core Courses (Please note that the list of core courses is a closed list. Other courses cannot be added to the core course category in the study plan. Also the assignments of courses to core subcategories cannot be changed. Students need to pass at least one course in each core subcategory. A total of 40 ECTS needs to be acquired in the core course category.)
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Bioinformatics (Please note that all Bioinformatics core courses are offered in the autumn semester)
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Advanced Courses (A total of 30 ECTS needs to be acquired in the Advanced Courses category. Thereof at least 16 ECTS in the Theory and 10 ECTS in the Biology category.)
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Theory (At least 16 ECTS need to be acquired in this category.)
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Doctorate Biosystems Science and Engineering (More Information at: )