Date: 27 - 29 November 2019

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 using data extracted from the Single Cell Expression Atlas. In addition to running a basic pipeline, participants will explore the variety of options within the Galaxy resource and individually analyse a given dataset. The results will be compared across the cohort to assess reproducibility and demonstrate the effect of analytical choice on research output. Finally, participants will learn about data submission, resources, and standards within the single cell field. 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.

Venue: European Bioinformatics Institute Hinxton

Region: Cambridge

Country: United Kingdom

Postcode: CB10 1SD

Target audience: This course is aimed at researchers who are generating, planning on generating, or working with single cell RNA sequencing data. Prerequisites Participants will be using a Galaxy resource in-depth. Participants may also be asked to do brief coding in R. Please ensure that you complete the free tutorials before you attend the course: Introduction to Galaxy: https://galaxyproject.org/tutorials/g101/ Basic R concept tutorials: www.r-tutor.com/r-introduction There are other tutorials here, although they are not required: https://galaxyproject.org/learn/

Capacity: 30


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