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.

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:- Bioinformatics- Plant Physiology- Genetics and- Cell Biology II.(total of 12 experiments)Each experiment takes one full day.

Genetics and epigenetics form the blueprints for all life. Understanding genetics is critical to understanding everything from evolution to cancer. This course covers the fundamentals of modern genetics, with an emphasis on molecular mechanisms, and the use of genetic tools to understand biological biological processes in bacteria, model organisms and humans.

The course provides the basis of modern genetics, genomics and bioinformatics. A special focus is placed on the use of these tools for the understanding of biological processes in bacteria, model organisms and humans. The unit uses the principle of blended learning consisting of self-study modules in Moodle, tasks and input lectures by experts from the department.

We provide training in the use of computational methods to address molecular, genetic, ecological and/or evolutionary questions by analyzing DNA sequencing data from microbial communities. The course includes lectures, tutorials, and the development of a research project at the intersection between microbiology and bioinformatics.

Seminars by invited speakers covering selected topics in microbiology.Students enrolled in this seminar series for course credit will take in-person quizzes immediately after each seminar, and submit summary essays every three weeks.

Students will be introduced to and advance their programming skills in UNIX, python and R. Following the biological genotype-to-phenotype concept, students will learn to analyse DNA sequences, protein structures and imaging-captured phenotypes through weekly lectures and homework assignments.