This course covers the analysis of single cell RNA sequencing (scRNA-seq) data using Python and command line tools. Participants will be guided through droplet-based scRNA-seq analysis pipelines from raw reads to cell clusters. You will explore and interpret single-cell RNA seq data using Python as well as the Single Cell Expression Atlas. Finally, you will put their knowledge into practice through a group challenge on the last day.

Please note that you will not analyse your own data as part of the course. There will, however, be ample opportunity to discuss your research and ideas with other course participants and trainers.

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 asynchronous communication via Slack.

Pre-recorded material may be provided before the course starts that participants will need to watch, read or work through to gain the most out of the actual training event. 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 you will not require access to a powerful computer or install complex software on your own machines.

Participants will need to be available between the hours of 09:00 – 17:30 BST each day of the course. Trainers will be available to assist, answer questions, and provide further explanations during these times.

Please note that we will operate this course virtually. Hybrid options are not currently available. We reserve the right to change the format of this course or cancel it.