Students will study bioinformatic concepts in the areas of metagenomics, genomics, transcriptomics, proteomics, biological networks and biostatistics. Through integrated lectures, practical hands-on exercises and project work, students will also be trained in analytical and programming skills to meet the emerging increase in data-driven knowledge generation in biology in the 21st century.

Functional genomics is key to understanding the dynamic aspects of genome function and regulation. Functional genomics approaches use the wealth of data produced by large-scale DNA sequencing, gene expression profiling, proteomics and metabolomics. Today functional genomics is becoming increasingly important for the generation and interpretation of quantitative biological data.

This introductory Laboratory course introduces the student to the entire range of classical and modern molecular biosciences. In the second year (Praktikum GL Bio II) the students will perform three praktikum days in:- Plant Biology- Animal Models- Genomics- Molecular Systems Biology(total of 12 experiments)Each experiment takes one full day.

The course covers all basic aspects of metabolome measurements, from sample sampling to mass spectrometry and data analysis. Participants work in groups and independently perform and interpret metabolomic experiments.

The course teaches computational methods and first hands-on applications by starting from biological problems/phenomena that students in the 4th semester are somewhat familiar with. During the exercises, students will obtain first experience with programming their own analyses/models for data analysis/interpretation.

Starting from contemporary biological problems related to metabolism, the course focuses on systems biological approaches to address them. In a problem-oriented, this-is-how-it-is-done manner, we thereby teach modern methods and concepts.