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. Course Date: Tues 13th - Thu 15th May 2025

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.

Administrative information.

Fees are £300 for academic delegates, £500 for delegates from public institutions (not academic). Industry delegates may submit an application and will be quoted in individual basis.

If you are a delegate from the University of Liverpool you can access student bursaries. You will need to submit an application to the bursary together with your registration. Link to the bursary can be accessed from the registration form

Back to: Computational Biology Facility