Welcome to Galaxy Training!

Collection of tutorials developed and maintained by the worldwide Galaxy community

Galaxy for Scientists

We have separated the tutorials into several categories based on field and technology. We are exploring other ways to organise the tutorials going forward!

Start Here

Topic Tutorials
Introduction to Galaxy Analyses 13
Using Galaxy and Managing your Data 23

Not sure where to start?

Try the NGS Basics Learning Path! Start Learning

Scientific Fields

Topic Tutorials
Climate 11
Computational chemistry 9
SARS-CoV-2 9
Foundations of Data Science 49
Ecology 20
Evolution 9
FAIR Data, Workflows, and Research 20
Genome Annotation 19
Imaging 7
Materials Science 1
Microbiome 16
One Health 9
Statistics and machine learning 18
Visualisation 5


Topic Tutorials
Assembly 17
Epigenetics 10
Metabolomics 8
Proteomics 32
Sequence analysis 8
Single Cell 33
Synthetic Biology 3
Transcriptomics 24
Variant Analysis 15

Galaxy for Developers and Admins

Topic Tutorials
Galaxy Server administration 49
Development in Galaxy 23

How to contribute?

First off, thanks for taking the time to contribute!

You can report mistakes or errors, create more contents, etc. Whatever is your background, there is probably a way to do it: via the GitHub website, via command-line. If you feel it is too much, you can even write it with any text editor and contact us: we will work together to integrate it.

To get you started, check our dedicated tutorials or our Frequently Asked Questions

Galaxy for Contributors and Instructors

Topic Tutorials
Galaxy Community Building 2
Contributing to the Galaxy Training Material 20
Teaching and Hosting Galaxy training 17

Contributor Hall of Fame


This project would not be possible without the many amazing community contributors!

View the Hall of Fame View all GTN stats

Do you want to help with this project and join our Hall of Fame? Please see our dedicated tutorials or our Frequently Asked Questions to get you started.

Acknowledgment and Funding

More information about this project can be found in our publication in PLOS Computational Biology. We would like to thank all contributors to our Galaxy training materials, the Galaxy community for their constant support, and our funding sources: