Registration is for selected participants only.
This summer school is sold out.

In recent years, spatial omics technologies have become increasingly accessible, thanks to the emergence of a diverse set of commercially available platforms. These technologies are revolutionizing our understanding of biological systems, but the resulting data sets are often complex, and answering research questions requires a solid understanding of spatial data analysis and the use of dedicated tools.

This summer school offers a comprehensive journey into the world of spatially resolved targeted transcriptomics, proteomics, and metabolomics. We'll start with a comparative overview of the current spatial omics platforms, followed by a hands-on training in the analysis of targeted spatial transcriptomics, proteomics and metabolomics data using the SPArrOW/Harpy pipeline and the Cardinal package. On the last day we'll explore multi-omics integration strategies to combine the different spatial omics data.

Objectives

By the end of the summer school, participants will have:

• a solid understanding of the principles, platforms, and applications of spatial omics
• practical experience with tools and pipelines to analyze spatial transcriptomics, proteomics, and metabolomics data.
• learned strategies to extract meaningful biological insights from spatial datasets
• explored integration approaches for combining multiple omics modalities

Prerequisites

This 5-day intensive program is designed for wet-lab researchers with a strong interest in data analysis as well as junior bioinformaticians who are starting with spatial omics experiments. Basic knowledge of Python and R is required. If you have no experience with Python or R, you can follow our free online introduction courses:

• People who have no experience with Python should follow both the Python Introduction and Python for spatial data analysis courses.
• People who have experience with Python but are not familiar with conda, Jupyter, pandas, NumPy, and Matplotlib should only follow the Python for Spatial Data Analysis course.
• Experience with programming in R is a plus but not required. If you want to expand your knowledge on R, you can join our free online R introduction course.

Spatial omics (2nd edition) conference

Right after the Spatial omics summer school, you’ll have the chance to dive even deeper into the field at the Spatial omics conference, taking place 22–24 June 2026 in Bruges.
With 20+ leading experts presenting their cutting-edge research, this conference is the perfect opportunity to extend both your stay and your knowledge.
Find out more about the conference here.