Spatial Transcriptomics Analysis (IN-PERSON)

This event has already happened
Date/time:

Monday 15 June 2026 9:30am

Location:

Research Informatics Training Room, Craik-Marshall Building

About

 Dates: Mon 15, Tue 16, Wed 17 June 2026

Time: 09:30 - 17:30

Location: Research Informatics Training Room, Craik-Marshall Building

♿ The training room is located on the first floor and there is currently no wheelchair or level access.

Participants can make use of the computers in the training room, unless otherwise advised. Instructions on specific system requirements and downloads will be provided when a booking is secured.

Please ensure you meet the target audience criteria and prerequisites before registering for a course.

 

Event Overview

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.

 How to book Target audience
  • Everyone is welcome to attend the courses.
Prerequisites

Essential

  • Basic understanding of high-throughput sequencing technologies.
  • A working knowledge of the UNIX command line.
    • If you are not able to attend this prerequisite course, please work through our Unix command line materials ahead of the course (up to section 6).
  • A working knowledge of R.
    • If you are not able to attend this prerequisite course, please work through our R materials ahead of the course.

Desirable

  • Experience with analysis of bulk RNA-seq data and single-cell RNA-seq data are both recommended.
  • A working knowledge of running analysis on High Performance Computing (HPC) clusters.
Registration fees

Fees must be paid at registration. 

Free for registered University of Cambridge students
£ 65/full day for all University of Cambridge staff, including postdocs. 
£ 65/full day for all academic participants from external Institutions and charitable organizations.
£ 130/full day for all Industry participants.

Contact us

For further information about the courses, please email the Research Informatics Training Team.