Computational Biology Training

Recent advances in biomedical research have led to an unprecedented growth in the size and complexity of experimental datasets. In order to transform these observations into scientific knowledge, increasingly sophisticated data analysis methodologies are required.

VBCF Computational Biology Training is part of VBC Scientific Training curriculum and provides practical courses in computational data analysis topics.

Our main goals are:

  • Teach computational methodologies relevant to biomedical research, with an emphasis on applied statistics.
  • Improve the communication between experimental and computational biologists so that the experimentalists can understand better "what happens to their data" in the hands of the data analyst.
  • Help experimental researchers to analyse their data on their own as much as possible.
  • Support computational biologists by providing "advanced" courses on modern data analysis techniques.


Register here!

Computing skills

These trainings cover programming languages and other software-related skills. They serve as the foundation of the other courses.

Data science in biology

These trainings teach you how to analyse biological data using statistical techniques. We offer both introductory and advanced courses covering the most important aspects of this very broad and rapidly developing field.

Reporting skills

These trainings teach you how to visualise and share your results to achieve maximal impact of your research.


Anyone who is interested in learning is welcome. We welcome participants from outside the VBC as well. We can also give a training at your institution, please contact us for details and a tailor-made offer.

Please always read the description of the course before applying. If you do not have the pre-requisites such as familiarity with a given technique or application then please do not apply as you would not be able to profit from the training.

Upcoming courses are announced via e-mail. All potential participants are responsible for obtaining permission from their supervisors to attend the course.

Registration involves a commitment to attend. Participants are accepted on a "first come, first served" basis.

You may register only yourself! If a course is oversubscribed then a second course will be held.

IMPORTANT: If you register for a course and then do not attend without a good reason (serious illness, family tragedies etc.), your supervisor will be notified and a penalty may be charged.

If we are forced to cancel a course (e.g. due to illness of the instructor etc.) then we will try our best to hold the course at a later date. Your registration will be valid for the replacement course.


Additionally, we are happy to advice on:

  • proper experiment design
  • selection of correct statistical analysis procedures
  • manuscript preparation