Schulz Lab

ALGOEPI 2021 - Computational Epigenomics

General info

• If the corona limitations are not lifted. This lecture will be completely online. Recorded lectures and slides will be able for download each week. Excercises will be done online and programming and related tasks will be submitted digitally. Details will be explained in the introductory session.
• Online lecture with exercises
• Lecture : Every Wednesday, time: 9:00 am, starting from the 14.4.2020 the new lecture can be accessed for registered participants.
• You get 6 credit points
• Oral exams at the end of the semester, re-exams at the end of the break (exact dates tbd depending on the currect situation).
• Registration: Please register at the course mailing list if you are interested to join the course, additional information during the course will be announced over the list: register here
• Successful participation in excercises/assignments required to be eligible to take the exam

Course overview

Computational Epigenomics deals with the analysis of epigenomic modifications in the human genome. In multicellular organisms, such as we are, epigenetic modifications allow to change the access, storage and use of DNA in a cell-specific manner. These modifications change during development and disease and play thus important roles to understand genome regulation. In this course the foundations in epigenomics are explained. Foundations about Machine learning methods such as Hidden Markov Models and Sparse regression will be explained in context of modern algorithms and statistical approaches for the analysis of diverse expigenomics assays. The course is a mixture of theoretical knowledge concerning methods for the analysis of epigenomics data as well as hands-on experience for data analysis. In projects students will apply machine learning methods to human epigenomic data to learn about gene regulation.