This course covers the analysis of single cell RNA-seq data using Python and command line tools. Participants will be guided through droplet-based single cell RNA-seq analysis pipelines from raw reads to cell clusters. Furthermore, you'll learn how to generate common plots for visualisation and analysis of gene expression data, including TSNE, UMAP, and violin plots.

Please note that participants will not analyse their own data as part of the course. There will, however, be ample opportunity to discuss their 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 trainer-led computational exercises and group activities. 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 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 09:00 – 17:30 BST each day of the course. Trainers will be available to assist, answer questions, and provide further explanations during these times.