Single Cell RNASeq course

The CBF are happy to provide the following materials for our Single Cell RNASeq course for free. This was originally an intensive 3 day course which taught participants to process and interpret single-cell transcriptomic data using R-based tools and common analysis strategies.

The course materials provide a full walkthrough of the analysis from read counts to differentially expressed genes and pathway analysis for biological interpretation.

The sessions include the following;

Quality Control and data pre-processing
Data integration
Cluster analysis
Cell annotation
Differential expression analysis
Functional and pathway enrichment analysis.

The complete course — HTML workbooks, recorded lectures, and bonus materials — is now free to access at your own pace. As a free resource, it doesn't include tutor support and is no longer actively updated; the current version reflects our September 2024 revision.

Requirements

The course was designed for delegates with some experience in R (basics). If you do not have prior knowledge of R, we advise that you first take our instructor-led R for Beginners course.

Course materials

The course materials are available here. If you use the workflows in your work or find it particularly useful, we please ask that you credit the CBF by citing our DOI 10.5281/zenodo.19351687.