Course content

These materials were part of the live ‘Single-Cell RNA-seq Analysis using R’ Course which happened in October 2022. Please refer to the course page and programme to check details about this live event and the original programme.

The content table below outlines the different sessions that were included in the course, as well as the format of the materials (slides/videos/practicals) and each session’s trainer. Either proceed through the materials using the arrows at the end of each page or pick your topic of interest from the table below to skip straight to it.

 Presentation slides –  View or download the slides

 Recorded lectures – Watch the lecture videos 

 Practicals – View or download the slides, exercises, datasets, analysis scripts and results

Format	Subject	Trainer
	Planning the experiment
	Keynote: Cellular heterogeneity in liver and drivers of disease	Tallulah Andrews
	Experimental design	Tallulah Andrews
	Droplet-based library generation overview	Wendi Bacon
	Pipeline overview	Wendi Bacon
	Processing data
	Getting set up: infrastructure terms	Iguaracy Pinheiro de Sousa and Daniel O’Hanlon
	Raw reads to expression matrix	Iguaracy Pinheiro de Sousa and Daniel O’Hanlon
	Cell atlases & interpretation	Nancy George and Enrique Sapena
	Analysing data
	Designing your analysis	Tallulah Andrews
	Pre-processing and dimensionality reduction	Anna-Maria Cujba and Alsu Missarova
	From UMAP to annotation	Anna-Maria Cujba and Alsu Missarova
	Online tools and follow-up	Elo Madissoon