A guide to the technology, analysis workflows, tools, and resources for next-generation sequencing data analysis.

This course will provide insights and training into how biological knowledge can be derived from genomics experiments and explain different approaches in analysing such data. The main focus will be on introducing sequence informatics, re-sequencing, differences between short- and long-read sequencing, and variant calling during the analysis of higher-eukaryotes, with an emphasis on human genetic research. Throughout the week, more advanced topics will introduce genome graphs, pangenomics, the creation of pipelines, automation, and the scaling-up of analysis experiments.

Practical sessions will be run on datasets prepared by the trainers, not on personal research data. Participants will learn how to process these training datasets and to apply appropriate statistical methods in their analyses. They will also learn the basics to create their own pipelines and use pipelines openly available.