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Introduction to Single-cell RNA-seq Analysis

University of Cambridge / CRUK

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Introduction to single-cell RNA-seq data analysis

18 Jan, 25 Jan, 1 Feb || 09:30 - 17:30

Online (Zoom)

Instructors

Helpers:

Outline

This workshop is aimed at biologists interested in learning how to perform standard single-cell RNA-seq analyses.

This will focus on the droplet-based assay by 10X genomics and include running the accompanying cellranger pipeline to align reads to a genome reference and count the number of read per gene, reading the count data into R, quality control, normalisation, data set integration, clustering and identification of cluster marker genes, as well as differential expression and abundance analyses. You will also learn how to generate common plots for analysis and visualisation of gene expression data, such as TSNE, UMAP and violin plots.

Prerequisites

**Some basic experience of using a UNIX/LINUX command line is assumed**

**Some R knowledge is assumed and essential. Without it, you will struggle on this course.** If you are not familiar with the R statistical programming language we strongly encourage you to work through an introductory R course before attempting these materials. We recommend our Introduction to R course

Data set

Schedule

PDF of materials: if you want a PDF version of the materials go to the “Print” option on your browser and select “Print to PDF” (all major browsers have this functionality).

Day 1

Training helpers: Jon Price, Abbi Edwards
Training observers: Jiayin Hong, Ulrika Yuan

Day 2

Training helpers: Jon Price, Ash Sawle
Training observers: Jiayin Hong, Ulrika Yuan

Day 3

Training helpers: Chandra Chilamakuri
Training observers: Jiayin Hong, Ulrika Yuan

Extended Materials

Software Installation

We will give you access to an online environment with all the necessary software installed. However, if you want to run the analysis on your own computer, you can follow these instructions.

For Cellranger, you will need to use a Linux machine. See the installation instructions from 10x Genomics.

Acknowledgments:

Much of the material in this course has been derived from the demonstrations found in OSCA book and the Hemberg Group course materials. Additional material concerning miloR has been based on the demonstration from the Marioni Lab.

The materials have been contributed to by many individuals over the last 2 years, including:

Abigail Edwards, Ashley D Sawle, Chandra Chilamakuri, Kamal Kishore, Stephane Ballereau, Zeynep Kalendar Atak, Hugo Tavares, Jon Price, Katarzyna Kania, Roderik Kortlever, Adam Reid, Tom Smith

Apologies if we have missed anyone!