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Genetic Diversity: Analysis
Last Updated: 2026-02-05 15:53:35
Abstract
The course will provide hands-on training for advanced students (e.g. master, doctoral or post-doctoral level) in genomic data analysis. The focus is on high-throughput sequencing applications and data analysis with a strong emphasis on reproducibility and report writing.
Objective
The learning target is to understand the analysis of high-throughput molecular sequence data. We cover the fundamentals of bio-computing, and reproducibility is an integral part of the course. Exercises will help to better understand the theory. It is, however, not a copy-paste course, but a more applied data analysis with discussion.
Content
For more details and news visit the course website at https://www.gdc-docs.ethz.ch/GeneticDiversityAnalysis/GDA21/site/
Resources
Lecture Notes
Lecture notes and exercise will be made available during the course. For more details and news visit the course website athttps://www.gdc-docs.ethz.ch/GeneticDiversityAnalysis/GDA21/site/
Literature
We provide links to scientific literature and textbooks.
General Information
- Language
- English
- Levels
- DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- ungraded semester performance
Registration & Places
- Max Places
- 12
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Genetic Diversity: Analysis
Visit the following link to get the latest news:
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30 h semesterly |
Offered In
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Doctoral Department of Environmental Sciences (More Information at: )
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