Date: 6 - 10 February 2023

This course utilises Galaxy pipelines, an online open-access resource that allows even the most computer-phobic bench scientists to analyse their biological data. Participants will be guided through the droplet-based scRNA-seq analysis pipelines from raw reads to trajectories.

Please note that although participants will not be able to use their own data during the course practicals, there will be ample time to discuss their research and ideas with both course participants and trainers.  As part of this, participants will present posters on their research topics.

Virtual course

This course will now be held virtually, it was previously advertised as an on-site course. Hybrid options are not currently available. We reserve the right to change the format of this course or cancel it, due to the ongoing coronavirus pandemic.

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 participants will not require access to a powerful computer or install complex software on their own machines.

Trainers will be available to assist, answer questions, and provide further explanations during the course.

Keywords: Expression Atlas, Gene expression (gene-expression), Single cell, Galaxy, Droplet-based single-cell RNA library preparation

Venue: European Bioinformatics Institute, Hinxton

Region: Cambridge

Country: United Kingdom

Postcode: CB10 1SD

Organizer: European Bioinformatics Institute (EBI)

Capacity: 35

Event types:

  • Workshops and courses

Scientific topics: RNA-Seq analysis, Expression data, Workflows, RNA-Seq


Activity log