Single-cell RNA-seq & network analysis using Galaxy and Cytoscape
Date: 26 - 30 April 2021
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 cell cluster comparisons. In addition to running a basic pipeline, participants will explore single cell networks using Cytoscape.
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 lightning talks on their research topics. Near the end of the course, participants will engage in small group discussion about their research challenges and problems with each other and the trainers at the ‘Talk with 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 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 08:00-17:30 GMT each day of the course. Trainers will be available to assist, answer questions and further explain the analysis during these times.
Keywords: Expression Atlas
Venue: EMBL-EBI EMBL EBI
Region: Cambs
Country: United Kingdom
Postcode: CB10 1SD
Target audience: This course is aimed at researchers with little to no experience in big data analysis and who are generating, planning on generating, or working with single cell RNA sequencing data.
Capacity: 30
Activity log