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SCOG Virtual Workshop: "Spatial Transcriptomics Data Analysis in Python"
The workshop will be held by Giovanni Palla (Helmholtz Munich, Germany), Anna Schaar (TUM, Germany), Alma Andersson (KTH, Sweden), Vitalii Kleshchevnikov (Wellcome Sanger Institute, UK), Johanna Klughammer (LMU, Germany) and Fabian Theis (Helmholtz Munich, Germany).

It will cover the analysis of spatial transcriptomics data in Python, with tools like squidpy, node-centric expression models (ncem) as well as deconvolution (cell2location) and registration methods (eggplant). The workshop will introduce the participants to both theoretical concepts as well as hands-on tutorials for the analysis of spatial transcriptomics data. Publicly available data will be available for this purpose, but users are welcome to analyze their own data in the context of the workshop.

Basic python and scanpy knowledge required.
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