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MOOC: Spatially resolved transcriptomics with Chipster

This introductory course covers analysis of spatially resolved transcriptomics data methods, tools and file formats. The free* and user-friendly Chipster software is used in the exercises, and the course is thus suitable for everybody.

You can login to our e-learning platform, self-register to the course and complete it any time!

Prerequisites:

*You need credentials for Chipster, read more here. You can log in with your institutes credentials (Haka, Virtu). We also offer 3-week test credentials, which you can use to complete the course.

Learning objectives:

After this course you should be able to:

  • use the Seurat tools available in Chipster to analyze spatially resolved transcriptomics data
  • name and discuss the different steps of analysis of spatially resolved transcriptomics data
  • understand the advantages and limitations of spatially resolved transcriptomics data analysis in general and in Chipster

Keywords:

Chipster, Seurat, single-cell sequencing, scRNA-seq, clustering, cluster marker genes, spatially resolved transcriptomics data

Practicalities:

Each section of this course contains learning videos, some hands-on exercises and some quizzes/tasks. The tasks can be used to confirm that you have reached the learning goals. Once you have finished all the tasks, you can download a course certificate with a unique course identifier. The estimated time to complete the course is 0.5-2 working days. In the certificate we recommend granting 1 credit (ECTS) for the course.

To self-enrol (key: scRNAseqChipster) in this course, please visit our e-Lena platform.

To self-enroll you need to first login using your HAKA, Virtu or ELIXIR AAI credentials. If you do not have one, please contact event-support@csc.fi.