Single Cell RNASeq course

This 3-day course teaches participants to process and interpret single-cell transcriptomic data using R-based tools and common analysis strategies.

The course provides a full walkthrough of the analysis from read counts to differentially expressed genes and pathway analysis for biological interpretation. The course is held online, with 1-1 support available throughout.

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.

Requirements

The course is 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 R for Beginners course.