Spatial transcriptomics is rapidly moving from a niche approach to a standard technique across multiple research areas in life sciences. In the past years, many experimental methods, sequencing technologies, algorithms, and software packages have been developed and released. This rapid pace can make it challenging to know where to start, how different approaches compare, and which tools are most appropriate for your data and research questions.

This webinar series offers an overview of the spatial transcriptomics landscape, guiding you through the main stages of a typical workflow. The series is designed as a step-by-step progression, from a general introduction to the field, to data preprocessing, analysis, visualisation, integration and management. We will conclude with a case study, where the different steps will be integrated in a real-world scenario.

The webinars making up this series are listed below. Follow the links to find out more about each webinar. You will need to register for each webinar you would like to attend. Recordings will be made openly available for all webinars on their individual pages. 

Webinars

Who is this series for?

This series is designed for students, biologists, bioinformaticians, and researchers who are interested in learning workflows to analyse and interpret spatial transcriptomics data. For more information on the background knowledge that would be helpful for each webinar, please see the specific webinar page. Depending on your background, webinars can be attended as a standalone session, but we recommend following the full series if you are just starting in the field.

Outcomes

By the end of this webinar series, you will be able to:

• Explain the core concepts of spatial transcriptomics and describe its different technologies and approaches.
• Identify the main stages of a spatial transcriptomics workflow, from raw data analysis, visualisation, integration, and data management.
• Interpret spatial transcriptomics data using appropriate analysis and visualisation approaches, and recognise their key assumptions and limitations.
• Integrate spatial transcriptomics data with other data types and adapt best practices for data organisation, reuse, and management.

Speakers

This webinar series will run from 18 February to 8 April 2026. Webinars are free to attend but registration is essential: for all details and registration link, follow the links to the individual webinar pages. 

All webinars will be recorded, and the recording will be made available on given the webinar page. Please note that we do not issue certificates of attendance for our webinars. However, you will receive an email from our Zoom account confirming your participation a day after the event.