The aim of this learning pathway is to explain and demonstrate how to perform federated analysis of human cohort data.

Who is this course for?

These materials provide a mixture of explanations, videos and tutorials to help advance your knowledge and skills in the federated analysis of human cohort data. You may select your topic of interest from the Course content page to view the relevant sections or work your way through the learning pathway. 

If you would like to provide feedback on this set of course materials, please use the form on the Your feedback page.

This learning pathway is intended for two groups of end users: 

• Researchers in biomedical or life sciences interested in accessing research human data and in carrying out federated data analysis with the data 
• Bioinformatics tool and software developers interested in synthetic datasets to be used in demonstration and testing of a tool

Before visiting the learning pathway, it is recommended to have knowledge of or experience with Galaxy as well as with performing bioinformatic analyses. If you are not familiar with Galaxy, you can check this short Introduction to Galaxy tutorial.

What will I learn?

Learning outcomes

By the end of this learning pathway you should be able to:

• Cite different resources for finding cohort data
• Describe the process of obtaining authorisation for using access-controlled human cohort datasets
• Describe the process of importing datasets for analysis using GA4GH passports after authorisation, on the command-line or using Galaxy.
• Implement the workflow that you will use for your federated data analysis 
• Apply the main ELSI aspects you should consider when working with human cohort data
• Explain the characteristics and advantages of working with synthetic cohort data

Trainers