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ZENODO
Other ORP type . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
ZENODO
Other ORP type . 2025
License: CC BY
Data sources: Datacite
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WORKSHOP: Spatial omics

Authors: Jaya, Frederick; Williams, Sarah; O'Brien, Mitchell J; Matigian, Nicholas; Thind, Amarinder Singh; Wang, Ciccy; Mori, Giorgia;

WORKSHOP: Spatial omics

Abstract

This record includes training materials associated with the Australian BioCommons workshop ‘Spatial omics. This workshop took place over two sessions on 28 - 29 October 2025. Event description Spatial omics provides unprecedented opportunities for the understanding of cells, tissues and systems by combining omics and imaging technologies. This hands-on workshop will show you how to analyse data from in situ spatial (e.g. CosMx, Xenium) experiments with Seurat in R to visualise gene expression within tissue samples. Using real-life experimental data we step through the process of reading in data, quality control, filtering, dimensionality reduction, visualisation and differential expression analysis. We will discuss the ‘why’ behind each step and essential best practices for designing and running spatial omics experiments. Lead trainers: Dr Sarah Williams, QCIF. Fred Jaya, Sydney Informatics Hub, University of Sydney and Australian BioCommons Facilitators: Dr Nicholas Matigian, QCIF Dr Ciccy Wang, Garvan Institute of Medical Research Dr Mitchell O’Brien, Sydney Informatics Hub, University of Sydney and Australian BioCommons Dr Amarinder Singh Thind, Sydney Informatics Hub, University of Sydney and Australian BioCommons Infrastructure provision: Dr Mitchell O’Brien, Sydney Informatics Hub, University of Sydney and Australian BioCommons Dr Giorgia Mori, Australian BioCommons Host: Dr Melissa Burke, Austrlaian BioCommons Training materials Materials are shared under a Creative Commons Attribution 4.0 International agreement unless otherwise specified and were current at the time of the event. Files and materials included in this record: Event metadata (PDF): Information about the event including, description, event URL, learning objectives, prerequisites, technical requirements etc. Materials shared elsewhere: Training materials including detailed notes, exercises and code: https://swbioinf.github.io/intro-spatial-transcriptomics-workshop/index.html Rmd files of R code used during the workshop via GitHub: https://github.com/swbioinf/intro-spatial-transcriptomics-workshop

Related Organizations
Keywords

FOS: Computer and information sciences, Bioinformatics, Spatial omics, Analysis

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average