Spatially-resolved transcriptomics enables high-throughput gene expression profiling within the spatial context of tissues, offering valuable insights into cellular function and tissue organisation. By integrating spatial coordinates with gene expression data, researchers can identify spatially co-localised cell populations and uncover the spatial dynamics of gene expression. 

This webinar will explore the latest technological advances and computational approaches for analysing spatially-resolved transcriptomics data, equipping participants to critically plan their experimental design and analyses.

Who is this course for?

This webinar is suitable for any researcher in life sciences who is interested in exploring spatial omics and learning about relevant methods and resources . No prior knowledge of bioinformatics is required, but an undergraduate level knowledge of biology would be useful. 

This event is part of a webinar series focusing on concepts, resources, and recent advancements in the field of spatial omics. For details on all topics covered in this series and registration information, please visit the following link: Advances in spatial omics: exploring concepts, innovations, and resources.

Outcomes

By the end of the webinar you will be able to:

• Identify the major technologies that can be used to profile transcripts with spatial resolution, including the advantages and pitfalls of each technology
• Draw parallels between the analysis pipelines of single-cell and spatially-resolved transcriptomics data
• Describe the assumptions and modelling principles behind the computational methods used for spatially-resolved transcriptomics data

DOI: 10.6019/TOL.Intro-spatial-omics-24-w.2024.00001.1

This webinar took place on 11 September 2024. Please click the 'Watch video' button to view the recording.

Please share your feedback about this webinar recording here via this link.