Course description
Starting on Monday 20 April 2026, this top-rated course will take place every Monday for five weeks, finishing on Monday 18 May 2026. Sessions will run from 09:30–16:30 BST.
Keep pace with the recent explosion of single cell and spatial methods, and the ways it might empower your research. This top-rated course covers:
- Theory behind widely used single cell and spatial RNA technologies
- The Seurat package and objects
- QC, doublet removal, PCA, UMAP, clustering, cell identification, cell frequencies
- Handling replicates using integration
- Differential expression and pseudo-bulk
- Putative ligand / receptor interactions
- Trajectory analysis
- CITE-seq / antibody capture
- Visualisation and exploration, sub setting and re-clustering
- CytAssist (Visium HD), CosMx and Xenium spatial analysis
- Spatial niches, custom regions and molecules.
The course is delivered by the Glasgow Bioinformatic Core, which has over 18 years’ experience in bioinformatic analysis and lecturing, and is perfectly positioned to help you master bioinformatics and R skills.
You will get:
- Digestible classes that fit around your lab schedule – they are Mondays only on Zoom
- Low-cost training, significantly more affordable than other courses – just £395 + VAT for BSI members
- Sought-after skills that will expand your career prospects – add it to your CV!
- Confidence to carry out single cell and spatial analysis of your own, or public datasets
And much more!
Registration
| Fee | |
|---|---|
| BSI member | £395 + VAT |
| Non-member | £790 + VAT |
The British Society for Immunology offers this course at a discount to all BSI members. You can sign up to become a member online. BSI members also benefit from discounts on fees for BSI events, as well as free access to our journals, grants, career development activities and much more.
Rating and reviews
This highly rated programme has had over 3,000 attendees since 2019, with a mean rating of 9.5/10 for content and delivery, and 94% of participants were happy with the session length and pace.
Who signs up for this training?
Wet-lab scientists…
- Who have a basic familiarity with R and RStudio, or have completed our entry level course ‘Omics, bioinformatics & R for biologists’
- Who are thinking of doing single cell or spatial analysis
- Keen to further develop their knowledge and skills into this cutting edge field
- Who need to understand omics in the current literature
Suitable for self-paced learning
Enrolling in any of our live courses also gives you access to the self-paced materials. Including full lecture recordings, cheat code, and R / command line tutorial workbooks, which are designed to be easy to follow on your own. You can even ask the coordinators questions via our ThinkIfic teaching site.
There’s no downside. You can do self-paced learning and live training as suits you. This course is works particularly well as self-paced learning.
Other courses in this training programme
In addition to this course we have an entry level course ‘Omics, bioinformatics & R for biologists’ and its more advanced follow-on course ‘Further omics, statistics & clinical data in R’. Here you can see the full outline of the programme and guidance on which course is right for you.
The programme has been developed and is delivered by the Glasgow Bioinformatic Core and is being offered by the British Society for Immunology.