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

This virtual course will provide insights into how biological knowledge can be derived from genomics experiments and explain different approaches in analysing such data. The main focus will be on assembly, re-sequencing, and variant calling during the analysis of higher-eukaryotes, with a particular emphasis on human genetic research. Throughout the week, more advanced topics will introduce the creation of pipelines, automation, and the scaling-up of analysis experiments.

Practical sessions will enable participants to process training datasets and apply appropriate statistical methods in their analyses. There will be no opportunity to work with personal research data during the course.

Virtual course

Participants will learn via a mix of pre-recorded lectures, live presentations, and trainer Q&A sessions. Practical experience will be developed through group activities and trainer-led computational exercises. Live sessions will be delivered using Zoom with additional support and communication via Slack. 

Pre-recorded material will be made available to registered participants prior to the start of the course and in the week before the course there will be a brief induction session. Computational practicals will run on EMBL-EBI's virtual training infrastructure, meaning participants will not require access to a powerful computer or install complex software on their own machines.

Participants will need to be available between the hours of 09:30-17:30 GMT each day of the course. Trainers will be available to assist, answer questions and further explain the analysis during these times.