This workshop is a shortened version of the SingleCellWorkshop from Yunshun Chen, and more details can be found here.
In this workshop, you will learn how to analyse single-cell RNA-seq count data using Seurat and ternary plot. This workshop uses one epithelium sample of human normal mammary gland, which can be obtained from the 10X Genomics dataset (GSE161529) of Pal et al. 2021. EMBO J.
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. Ternary plot analysis | 05m |
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 jinmingcheng/scrnaseqworkshop
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("jinming-cheng/scRNAseqWorkshop", build_vignettes = TRUE)
# To view vignettes
library(scRNAseqWorkshop)
browseVignettes("scRNAseqWorkshop")