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 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 course is held online and is designed to be undertaken at the delegates own pace, with 1-1 support from our team of experts available throughout.
Our team will also be available to assist with your learning up to two months post-course, and all delegates will be invited to join a peer-to-peer support community to enhance their research/analytical work

The course is designed for delegates with basic experience in R. If you do not have prior knowledge of R, we advise that you first take our R for beginners course

The next iteration of the course will be held on 8th-10th April.

Sign up using the link provided

The course has a cost of £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 application can be accessed in the registration form.

Applications close 25th March, and spaces are limited.