Bioinformatics for Nanobiology

In this course, the student will learn how to use algorithms as tools for biological research. An overview of core application software, databases and applications will be provided, as well as in-depth knowledge on key algorithms and procedures to process and analyze sequence data and quantitative measurements. The course offers both theoretical insight and practical experience, in computer practicals and projects to be performed. The WebLab exercises cover the computer practicals, other materials (lecture slides, projects) are available on Brightspace.

The practicals are graded and need to be completed in WebLab. The practicals are graded pass/fail: you need to score at least 60% of the total points (i.e. final practical grade >= 6.0) to pass the course. See the course syllabus on BrightSpace for details.