GW4 Cytometry Data Science Course
Unlock the Power of Cytometry Data with R
27–30 July 2026 | University of Exeter
Join us in Exeter for the GW4 Cytometry Data Science Workshop, a practical training course designed to help researchers analyse high-dimensional cytometry datasets in R and connect these workflows with imaging and spatial analysis.
Building on last year’s programme, the 2026 workshop has been expanded into a four-day modular format. It includes a dedicated introductory day for introducing R, more time for high-dimensional data analysis and machine learning, and a new imaging and spatial biology component.
Supported by the GW4 Cytometry Network, the workshop brings together researchers and technology experts for hands-on training, discussion, and collaborative learning in data-driven bioscience.
What you will learn
- Reproducible and scalable flow cytometry analysis in R
- Core programming concepts for those who are new to R
- High-dimensional analysis, visualisation, and statistical workflows
- Introductory machine learning approaches for cytometry data
- Image and spatial analysis workflows using QuPath and R
Workshop modules
|
Date |
Module and focus |
|
27 July |
Introduction to R |
|
28 to 29 July |
Flow Cytometry Data Science |
|
30 July |
Imaging and Spatial Analysis |
Who Should Attend
This workshop is designed for:
- Researchers working with high-dimensional cytometry data or imaging data in the life sciences
- Core facility and technology platform scientists
- Postdoctoral researchers and early-career researchers
- Master’s and PhD students
What Is Included
- Expert-led practical training in R
- Real-world workflows using high-parameter cytometry and imaging datasets
- Informal networking opportunities
- Refreshments and lunch provided
Experience Level
No advanced programming experience is required. The workshop is designed to be accessible, although some prior familiarity with R or RStudio will help participants get the most out of the practical sessions. Participants may bring their own laptop (provided Docker is installed) or use a workstation provided on site.
Instructors
(Course Lead)
Venue and fees
Date: 27–30th July 2026
Location: Babbage Lab, Innovation Centre 1, University of Exeter
The course is modular, and participants can choose which sessions to attend.
|
Full Course Bundle |
£400* |
|
Module Options |
|
|
Flow Cytometry + Imaging (Day 2-4) |
£350* |
|
Intro R + Flow Cytometry (Days 1-3) |
£350* |
|
Imaging Only (Day 4) |
£150* |
* Academic subsidised rates. Please contact us for further information.
Registration
For enquiries, contact: cytometry@exeter.ac.uk
We look forward to welcoming you to Exeter this Summer!