This course provides a practical introduction to analysing spatial transcriptomics data using the Seurat package in R and related tools. Participants will learn how to process spatial transcriptomics datasets, perform quality control, normalisation, and integration, and apply clustering and dimensionality reduction techniques. The course teaches visualisation of spatial gene expression patterns, identification of spatially variable features, and inference of cell-cell interactions.

If you do not have a University of Cambridge Raven account please book or register your interest here.
If for any reason the above links do not work, please email Research Informatics Training Team with details of your course enquiry.

Additional information

• ♿ The training room is located on the first floor and there is currently no wheelchair or level access.
• Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
• Attendance will be taken on all courses and a charge is applied for non-attendance. After you have booked a place, if you are unable to attend any of the live sessions, please email the Research Informatics Training Team.
• Further details regarding eligibility criteria are available here.
• Guidance on visiting Cambridge and finding accommodation is available here.