Format and time
- Bioinformatics special lecture
- 4 ECTS credit points
- Course language: English
- Block course
- Lecture and hands-on practical workshop
- The lecture and course will be held between August 2 and August 17 2021 in an online format (via Microsoft Teams).
- Introductory meeting, July 26, 14:30
Lecturers and TAs
- Jun.-Prof. Dr. Fabian Müller
- Prof. Dr. Jörn Walter
- Dr. Abdulrahman Salhab
- Dr. Kathrin Kattler
- Dr. Gilles Gasparoni
- Nihit Aggarwal (TA)
This course offers a practical introduction to bioinformatics methods and tools used for NGS-based (NGS = next generation sequencing) epigenome analysis. The lecture will refresh the students’ knowledge on epigenetic gene regulation, introduce a series of experimental methods to profile the epigenome and introduce into the theoretical background of bioinformatic methods and software tools used for data processing, quality control, exploratory analysis, differential analysis and integration of multiple data modalities. Four epigenomic data modalities will be discussed in detail: gene expression, DNA methylation, chromatin accessibility, histone modifications. The theoretical knowledge conveyed in the lecture will be solidified in a hands-on workshop in which the students will employ the introduced methods. Here, the students will work in groups of 2-3, each addressing one of the four epigenetic modalities mentioned above.
Students will present their results in a final presentation at the end of the course.
- Introduction to epigenetic gene regulation
- Experimental techniques and bioinformatic analysis for gene expression (RNA-seq)
- Experimental techniques and bioinformatic analysis for DNA methylation (bisulfite-seq, microarrays, enrichment-based methods, etc.)
- Experimental techniques and bioinformatic analysis for chromatin accessibility (ATAC-seq, DNase-seq, NOMe-seq, etc.)
- Experimental techniques and bioinformatic analysis for histone modifications (ChIP-seq, CUT&RUN, etc.)
- Integrative data analysis: Dimension reduction, clustering, differential analysis, segmentation, imputation
- Emerging epigenome profiling technologies (including single-cell and multiome methods)
- July 26, 14:30: Introductory meeting
- August 2-4: six theoretical lectures (90 minutes each) introducing into the biological and bioinformatic background.
- August 9: written exam (90 minutes)
- August 10-13 (9am – 5pm): hands-on workshop
- August 17: Presentation of results
- August 21: Protocols handed in
All Lectures, the course and the presentation will be held via MS Teams – unless Corona-restrictions allow the presence on the campus.
To enroll, students should have a basic knowledge in modern genomics and principles of epigenetics. They should have basic skills for script-based programming using the R language. The course will be limited to 20 (bioinformatics) students. Students who attended the lecture “Principles of Epigenetics” will be given priority. Non-bioinformatics students will be accepted on an individual basis if they can show that the requirements are met.
Students need to pass a written exam, based on the lecture content, prove that they successfully participated in the workshop by handing in a notebook-based protocol and give a 20-minute final presentation. The final grade will be given based on the exam and a check on the above criteria.
What can you do to prepare for the lecture?
- Refresh your knowledge on epigenetic principles
- Refresh your knowledge on Next-Generation Sequencing technology
- Familiarize yourself with the UNIX shell and the R programming language. You might find these tutorials useful:
- Your name
- Your UNIVERSITY email address
- Your field of study (e.g. Bioinformatics)
- Your current semester
- Whether you passed the lecture Principles of Epigenetics
- Your immatriculation number
TO: firstname.lastname@example.org, email@example.com SUBJECT: COMP_EPI_WS (SoSe2021) BODY: Fabian Mueller, firstname.lastname@example.org, Bioinformatics Master, 3, Yes[WS21], 999999
Lecture slides, workshop handouts and problem sets are available on the course website and they will be disseminated in MS Teams.