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.
These links point to public course information and selected material. Full course archives, student work, and copyrighted slide collections are not published here.
Teaching 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.
Current course information for bioinformatics teaching at Stockholm University.
Official course information; semester and registration details may change.
Recorded lectures on computational biology and bioinformatics, including protein structure prediction and evolution.
A curated selection of lecture presentations covering deep learning, PyTorch, protein contact prediction, AlphaFold, diffusion models, and introductory bioinformatics.
Hands-on notebooks for introductory PyTorch, biological machine learning, contact prediction, signal peptide detection, and introductory deep learning.
Download and run locally; the notebooks may require the teaching environment and Python packages.
A small selection of slide decks shared for teaching and reference. Please check the sharing status of each deck before reusing material.
Collection of teaching materials for various bioinformatics courses.
Canvas login required; complete course material is not mirrored here.