The main objective of this course is to learn to utilize modern genetic sequencing data. The exact content will depend on the varying teachers expertise. Students will learn sequencing data quality control, filtering, processing and manipulation as well as utilizing the supercomputing resources and parallelization.
During the course, students will manipulate an example data set to provide a comprehensive experience of contemporary bioinformatics. They will gain familiarity with the command terminal and basic LINUX commands. This course builds on Basics of bioinformatics (757314A) and complements the theory learnt in Introduction to population genetics (757313A) and Introduction to molecular ecology (756650S). Lectures provide the core understanding of the main steps and principals behind data analyses, but the core content will be practical experience of handling and analysing large data sets.
During the course, students will manipulate an example data set to provide a comprehensive experience of contemporary bioinformatics. They will gain familiarity with the command terminal and basic LINUX commands. This course builds on Basics of bioinformatics (757314A) and complements the theory learnt in Introduction to population genetics (757313A) and Introduction to molecular ecology (756650S). Lectures provide the core understanding of the main steps and principals behind data analyses, but the core content will be practical experience of handling and analysing large data sets.
- Opettaja: Jenni Harmoinen
- Opettaja: Ida Holmberg
- Opettaja: Vladislav Ivanov