Teaching
Open, reproducible teaching material in bioinformatics and data science.
I build courses as web-first, version-controlled infrastructure: slides, notes and practicals from one source, published continuously, easy to maintain and update. This page collects that work and explains the approach behind it.
Courses
- Bioinformatics
Winter 2026/27 · first run
Sequence analysis, alignment, databases and hands-on practicals.
Tip
Every course’s practicals assume basic command-line competence. The Linux Crash Course covers it — public and free-standing rather than tied to one course, so it is worth starting before you are even enrolled.
Note
Course sites are password-protected, so the links above will ask for a login. It is distributed to enrolled students directly.
More
- About — who teaches these courses
- Teaching philosophy — how these courses are designed and why
- Infrastructure — the open stack behind them
- Resources — reusable, openly licensed material
- FAQ
- Contact