Introduction to spatial transcriptomics data analysis
Abstract
Spatial transcriptomics (ST) has enabled us to examine transcriptional activities of cells in complex tissue microenvironments. However, current workflows for ST data often involve fragmented pipelines with varying normalisation strategies, cell type identification methods and differential expression analyses. Our workshop addresses this critical need by leveraging latest bioinformatic method development for ST data:
- Data normalisation with spaNorm;
- Decoding cell states with Φ-Space;
- Identify spatial differentially expressed genes with jazzPanda. By bringing together experts and practitioners, we aim to move towards consensus on best practices that balance analytical rigour with biological interpretability, ultimately accelerating discoveries across developmental biology, disease pathology and therapeutic development.
Organiser(s)
- Dr Dharmesh Bhuva, Frazer Institute, University of Queensland
- Dr Jiadong Mao, Melbourne Integrative Genomics (MIG), University of Melbourne (contact person)
- Ms Melody Jin, Walter and Eliza Hall Institute of Medical Research
Schedule
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Date: Friday, 28 November 2025
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Time: 9:00 AM - 12:30 PM (AEDT)