392180 Multi-Omics Data Analysis (S) (SoSe 2022)

The development of novel omics methods over the last 10-20 years now allows the pathogenesis of most diseases to be analyzed and characterized in detail. However, these methods require complex and fast bioinformatics workflows to identify and interpret the raw data's corresponding genes, proteins, and metabolites. Subsequently, multi-omics data sets can be used to derive prognostic and predictive markers and possibly new therapy targets using biostatistical methods and machine learning algorithms. The challenge here is to link the individual omics data with each other, with clinical data (diagnoses, analyses, therapy), with the information from clinical databases and previously known publications, and finally to visualize the results. Furthermore, omics datasets enable the development of mathematic models describing the disease. These models could indeed be used to test therapeutic approaches or could be transferred back to the clinic to support diagnosis and clinical decisions.

The block seminar will take two days lecture, two days exercise and one day final presentation. The dates will be decided together with the students (will be while the semester break 2022). Interested students should write an Email until 04.07.2022 to Robert.Heyer@isas.de.

Teilnahmevoraussetzungen, notwendige Vorkenntnisse

The multi-omics data course will teach the biological and analytical concepts as well as the required bioinformatics/biostatistics skill for analyzing multi-omics data. Furthermore, we will briefly introduce concept for modeling omics data.

The focus of the block seminar are students with (bio)informatics background. In case, students from “Biochemie” or “Molekulare Biotechnologie” are motivated and talented in working with computers, they may join.
• M.Sc. Bioinformatik und Genomforschung / Master of Science
• Naturwissenschaftliche Informatik / Master of Science
• (Biochemie / Master of Science)
• (Molekulare Biotechnologie / Master of Science)