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 ]( 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/ ]( 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 [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-genetics mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-genetics
