All didactic materials here are licensed as Creative Commons Attribution-NonCommercial.
Python for Scientists
Materials from the course Basic Python 3 Programming for Scientists imparted at Adam Mickiewicz University:
- Python3 reference_cheat_sheet for beginners.
- Lesson 1. Running Python 3 in Windows.
- Lesson 2. Data structures: lists and dictionaries.
- Lesson 3. Data comparison and conditional statements.
- Lesson 4. User data input and ‘while’ loops.
- Lesson 5. ‘for’ loops and functions.
- Lesson 6. Built-in functions. Reading and writing files.
- Lesson 7. Python, Spyder, Jupyter and Anaconda.
- Lesson 8. Python scripts and modules.
- Lesson 9. NumPy, SciPy and Matplotlib.
- Lesson 10. Biopython.
MHC/HLA genotyping
Book chapter from the Springer Protocols book “HLA Typing: Methods and Protocols” (preprint version):
- AmpliSAS and AmpliHLA: web server tools for MHC typing of non-model species and human using NGS data
Metabarcoding
Materials from the workshop Introduction to Bioinformatics Analysis of Metabarcoding Data:
Cancer Research
Seminars about Cancer Research and Personalized Medicine