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Systems Genomics
Last Updated: 2026-02-05 16:01:33
Abstract
This course is an introduction to the wide field of Genomics. It addresses how fundamental questions in biological systems are studied using methods in genomics and how the resulting data is analysed to make quantitative interpretations of biological phenomena.
Objective
The goal of this course is to get detailed insights in how state-of-the-art DNA sequencing technologies can be applied for a qualitative and quantitative description of molecular and cellular processes and function. Students will learn how to analyse RNA-seq / transcriptomics data and make biological interpretations in a quantitative manner.
Content
This course will be a mix of lecture sessions, hands-on computational data analysis using public datasets and seminars discussing own results in the context of the published studies. In the lectures we will introduce current Next-Generation Sequencing technologies and their application to address basically all facets of modern biology and biomedical research. We will cover the major sample processing methods used for investigating functional genomic aspects like transcriptome and chromatin profiling, review recent advances in (cancer) genome sequencing and give an overview of public big data sequencing projects (ENCODE, GTEX, TCGA, ...). For the computational data analysis we will focus on differential gene expression profiling (RNA-seq) experiments that have been selected from fascinating published biological studies. Data analysis based on R will follow a detailed tutorial describing all required steps of sequence read processing and will be conducted in small groups to enable every student hands-on experience.
Resources
Lecture Notes
The PowerPoint presentations of the lectures as well as other course material relevant for an active participation will be made available online.
General Information
- Language
- English
- Levels
- DR , MSC
- Frequency
- Yearly recurring
Examination
- Type
- end-of-semester examination
- Mode
- oral 10 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Systems Genomics
Lecture: Wednesday 11-13.
Tutorial: Thursday, 8-9
The lecture will start on Wednesday, September 28.
Lecture and tutorial will be held on-site with streaming via Zoom.
|
|
3 h weekly |
Offered In
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Computational Biology and Bioinformatics Master (More information 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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Doctorate Biosystems Science and Engineering (More Information at: )
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Courses (Students need to acquire a total of 6 ECTS in lectures in this category. The list of core courses is a closed list, no other course can be added to this category. Students need to pass both lectures offered in this category.)
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