In order to answer biological-medical questions, the importance of an efficient and high-quality data analysis of genomic information (DNA) is becoming more and more crucial. This is made possible by means of the latest next-generation sequencing (NGS) technologies. This is why more knowledge in the sector of bioinformatics is required when dealing with very large amounts of data.
In this (part-time) course, you will strengthen your skills by tackling the most important aspects of NGS data analysis. In addition to dealing with large data sets and data formats, you will learn to create your own workflows using workflow management systems. By connecting all steps from quality control to variant calls, you will build complete workflows, first in Galaxy, and then transfer and apply this knowledge to Snakemake, a script-based, open-source workflow management system. With Snakemake, independent and reproducible bioinformatic pipelines can be created that allow automatic execution of the complete workflow.