In this workshop, you will learn how to analyse single-cell RNA-seq count data using Seurat. This workshop uses the 10X Genomics dataset from Pal et al. 2021, from which we will consider five samples from human normal sorted epithelial population. This workshop includes the following three parts:

- Standard analysis of one sample
- Integration analysis of multiple samples
- Differential expression analysis using pseudo-bulk

The detailed material can be found here.

The course is aimed at PhD students, Master’s students, and third & fourth year undergraduate students. Some basic R knowledge is assumed - this is not an introduction to R course. If you are not familiar with the R statistical programming language it is compulsory that you work through an introductory R course before you attend this workshop.

Activity | Time |
---|---|

Introduction & setup | 10m |

Part 1. Standard analysis | 35m |

Part 2. Integration analysis | 35m |

Part 3. Pseudo-bulk DE analysis | 30m |

Q & A | 10m |

This is necessary in order to reproduce the code shown in the workshop. The workshop is designed for R `4.1`

and can be installed using one of the two ways below.

If you’re familiar with Docker you could use the Docker image which has all the software pre-configured to the correct versions.

`docker run -e PASSWORD=abc -p 8787:8787 yunshun/singlecellworkshop:latest`

Once running, navigate to http://localhost:8787/ and then login with `Username:rstudio`

and `Password:abc`

.

You should see the Rmarkdown file with all the workshop code which you can run.

Alternatively, you could install the workshop using the commands below in R `4.1`

.

```
install.packages('remotes')
# Install workshop package
remotes::install_github("yunshun/SingleCellWorkshop", build_vignettes = TRUE)
# To view vignettes
library(SingleCellWorkshop)
browseVignettes("SingleCellWorkshop")
```