Dear all,

We are pleased to announce two upcoming online courses focused on spatial omics, designed to provide both foundational training and advanced analytical skills in this rapidly evolving field.

1 - Spatial Omics in R/Bioconductor

Dates: 18–20 May

Instructor: Dr. Stefano Mangiola (South Australian immunoGENomics Cancer Institute, Australia)

This course introduces the core concepts and technologies behind spatial omics, with a strong focus on practical data analysis in R/Bioconductor. Participants will learn how to work with both sequencing- and imaging-based spatial data, apply tidy data principles, and perform key analyses such as spatial differential expression and cell–cell interaction studies.

Course website: https://www.physalia-courses.org/courses-workshops/spatial-omics-1

2 - Spatial Omics Data Analysis: From Raw Data to AI Insights

Dates: 14–16 September

Instructors: Dr. Sara Jiménez & Tim Treis (Helmholtz Munich, Germany)

This course provides an end-to-end workflow for spatial omics data analysis, from raw data processing and quality control to advanced spatial statistics and AI-based approaches. Participants will explore spatial structure, gene-level patterns, cell–cell communication, and modern deep learning methods, with a strong emphasis on reproducibility and practical application.

Course website: https://www.physalia-courses.org/courses-workshops/scverse/

These trainings are ideal for researchers working in single-cell biology, spatial transcriptomics, computational biology, and bioinformatics who want to strengthen their analytical skills in spatial omics.

Best regards,

Carlo

Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR