The aim of the course is to provide participants with a solid understanding of the fundamental principles, techniques, and tools used in the field of bioinformatics.
Participants will learn how to generate and interpret Python and R code in the context of biological data.
✔ Comprehensive introduction to Python Programming using DNA examples
✔ Short introduction to Unix, HPC, R and NGS
- No prior knowledge in coding or biology
- 10 classes/ 4 hours per class, taught exclusively in English
Unlock the power of bioinformatics with our course designed for biologists—molecular biologists, geneticists, ecologists, and life scientists—ready to elevate their research. Whether you’re looking to dive into bioinformatics for the first time or refresh your skills in Python, R, and Unix with a molecular twist, this course has you covered. Perfect as a launchpad into our MSc in Applied Bioinformatics, it's crafted for those eager to embrace coding, no matter their background. Don’t just stay ahead in your field—lead the way. No prerequisites, just passion.
- Teacher: Spiros Papakostas
Τhe target audience for the course may include individuals from various academic and professional backgrounds who have a keen interest in learning Bioinformatics. In this regards, no particular cut off will be applied. However, the course is primarily designed for biologists, including molecular biologists, geneticists, ecologists, and other life scientists who want to better understand and incorporate bioinformatics into their research. Students of IT background may find the content very basic unless they wish to refresh their knowledge in Python, R, and Unix environment with a molecular biology flavour. This is further meant to be an preparatory course for our dedicated MSc Applied Bioinformatics to those with little or no knowledge in coding.
- Teacher: Spiros Papakostas