General Information
| Lecturer | Prof. Dr. Markus List |
| SWS | 2 SWS (6 ECTS) |
| Language | English |
| Turnus | Wintersemester |
| Registration | TUMonline & Moodle |
| Exam | Project work (final presentation and written evaluation) |
Introduction
In this module, the fundamentals of systems biology and its transition to systems medicine are covered. A focus is given on the application of bioinformatic methods.
Content
The following contents are covered:
- Availability and working with OMICS data (e.g., Genomics, Metagenomics, Transcriptomics, Epigenomics, Proteomics, Metabolomics, and Lipidomics)
- Objectives of precision and personalized medicine
- Complex diseases (cancer, multiple sclerosis, etc.)
- Network medicine
- Cancer genomics and identification of relevant mutations
- De novo endophenotyping and patient stratification
- Drug target and biomarker discovery
- Disease subtyping
- Drug repositioning
- Privacy-aware machine learning
Exercise and Project Work
In the first half of the semester, exercises related to the lecture topic will be worked on and discussed in groups. After successful submission of the exercises, a project work will be carried out in the second half of the semester by a group of 3-4 participants. This includes, among other things, problem definition, role distribution, idea generation, criteria development, as well as decision making, project planning, and execution.
We will see applications for various types of omics, e.g., genomics, transcriptomics, proteomics, and metabolomics/lipidomics.
Exam
The project assignment involves the development and final presentation of a systems medicine software, through which students demonstrate their understanding of systems medicine concepts and bioinformatics-driven software development.
In the final presentation, lasting 40 minutes, participants must prove that they can clearly and understandably present the subject matter of their work to the course participants within the allotted time.
The grade is equally based on the final presentation and the written evaluation. For the latter, documentation of the software in the form of a report must be created. This should be of a length appropriate to the scope of the software and not less than 20 pages. Special attention will be paid to the choice of methodology and the comprehensive use of molecular data in the sense of data-driven systems medicine. For grading (individual assessment), the contributions of team members must be evident, e.g., through the division of the report and the presentation.
Participants who fail the examination have a one-time opportunity to make improvements to the software, report, and presentation and to repeat the final presentation.