Single-cell RNA-seq analysis using R
Date: 1 - 5 February 2021
This course covers the analysis of scRNA-seq data using R and command line tools. Participants will be guided through droplet-based scRNA-seq analysis pipelines from raw reads to cell clusters. They will explore and interpret data using R as well as the Single Cell Expression Atlas. Finally participants will put their knowledge into practice through a group challenge on the final two days.
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.
Target audience: This course is aimed at wet-lab researchers who are generating, planning on generating, or working with single cell RNA sequencing data. Prerequisites Participants will require a basic knowledge of the Unix command line, the Ubuntu 18 operating system and the R statistical packages. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Basic R concept tutorials: www.r-tutor.com/r-introduction
Capacity: 30
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