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teaching

Teaching

Courses, lectures, videos, and selected teaching resources in bioinformatics. Public links are curated here; course platforms and complete slide collections may require login or permission. Our main teaching is the course KB8029, which spans introductory bioinformatics, protein sequence and structure analysis, machine learning, deep learning with PyTorch, AlphaFold, protein-protein interactions, membrane proteins, and reproducible computational work with notebooks. All course material is freely available and open access. It is primarily written in Quatro, but adopted to be easily imported to canvas. Computational resources for teaching is avilable through the PDC cloud

These links point to public course information and selected material. Full course archives, student work, and copyrighted slide collections are not published here.

Public resources

KB8029 bioinformatics courses

Current course information for bioinformatics teaching at Stockholm University. All material (labs, presentations, text etc) is freely available.

Open resource

Recorded lectures (old)

Recorded lectures on computational biology and bioinformatics, including protein structure prediction and evolution.

Open resource

Course access

Official course page

Official course information; semester and registration details may change.

Open resource