Training at NBIS

NBIS offers training and workshops within the area of bioinformatics. The training events are primarily for PhD students, postdocs, investigators and other researchers at Swedish universities, but also for industrial researchers in Sweden. There is a small fee for the participants.

We offer both introductory level training events as well as niched and advanced level training events within specialized research and/or technology areas.

Please note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits; however, the estimated credits are just guidelines. If formal credits are important, you need to confer with your home department before submitting a course application to establish if the course is valid for formal credits or not.

Omics Integration and Systems Biology

2024-10-14 to 2024-10-18 (5 days)
Deadline 2024-09-16
Lund
More infoThe aim of this course is to provide an integrated view of data-driven hypothesis generation through machine learning integration methods, biological graph / network analysis and genome-scale metabolic models. A general description of different methods for analyzing different omics data (e.g. transcriptomics and genomics) will be presented with some of the lectures discussing key methods and pitfalls in their integration.

Python programming with applications to bioinformatics

2024-11-11 to 2024-11-15 (5 days)
Deadline 2024-09-24
Uppsala, Umeå, Lund
More infoThis course provides a practical introduction to the writing of Python programs for the complete novice. Participants are led through the core aspects of Python illustrated by a series of example programs. Upon completion of the course, attentive participants will be able to write simple Python programs from scratch and to customize more complex code to fit their needs. The course consists of a mix of presentations, demonstrations, and practical exercises (either in the lab with assistants or on your own). Prior to the course, you can read a companion book “Programming Python”, or “Learning Python”. Such a book will also prove useful for your programming tasks, after the course is over. It is however not required, and material will be presented in class.