Online course - Spatial Omics in R/Bioconductor, 18–20 May

[Carlo Pecoraro]

Dear all,

We are pleased to announce our upcoming online course, Spatial Omics in R/Bioconductor, taking place from 18–20 May.

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

In this course, participants will:

• Gain a solid understanding of spatial omics concepts, including the differences between imaging- and sequencing-based approaches
• Explore a range of spatial omics technologies and learn how to design effective experiments
• Address key challenges in spatial data analysis using R/Bioconductor
• Apply “tidy” data principles to streamline analysis workflows
• Interpret spatial omics datasets and extract meaningful biological insights

Course schedule (09:30–13:30 Berlin time, online):

Day 1: Introduction and spatial analysis of sequencing data
(SpatialExperiment, Seurat)

Day 2: Tidyomics and spatial analysis of imaging data
(tidySpatialExperiment, MoleculeExperiment, Seurat)

Day 3: Advanced spatial analyses
(spatial differential expression, cell-neighbour analysis, pixel-based deconvolution, multi-modality integration)

For the full list of our courses and workshops, please visit:
https://www.physalia-courses.org/courses-workshops/

Best regards,
Carlo

Carlo Pecoraro, Ph.D
Director, Physalia-courses
in...@physalia-courses.org