Introduction to Galaxy Analyses

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience.

Material

First Time Using Galaxy

A quick look at using Galaxy

Your First Analysis

These are the core, foundational topics for learning how to use Galaxy.

Go a bit further

Explore the Galaxy a bit further after you've finished the basics.

Other

Assorted Tutorials

Galaxy instances

You can use a public Galaxy instance which has been tested for the availability of the used tools. They are listed along with the tutorials above.

You can also use the following Docker image for these tutorials:

docker run -p 8080:80 quay.io/galaxy/introduction-training

NOTE: Use the -d flag at the end of the command if you want to automatically download all the data-libraries into the container.

It will launch a flavored Galaxy instance available on http://localhost:8080. This instance will contain all the tools and workflows to follow the tutorials in this topic. Login as admin with password password to access everything.

Frequently Asked Questions

Common questions regarding this topic have been collected on a dedicated FAQ page . Common questions related to specific tutorials can be accessed from the tutorials themselves.

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Editorial Board

This material is reviewed by our Editorial Board:

Jennifer Hillman-Jackson

Dave Clements

Contributors

This material was contributed to by:

Björn Grüning

Anthony Bretaudeau

Nicola Soranzo

Marius van den Beek

Sarah Peter

Anne Pajon

Ahmed Hamid Awan

Dilmurat Yusuf

Nadia Goué

Helena Rasche

Daniel Blankenberg

Yongbin Li

Alaa Elghamry

Clemens Blank

Anne Fouilloux

Bérénice Batut

Cristóbal Gallardo

Andrea Bagnacani

Saskia Hiltemann

Michele Maroni

Anton Nekrutenko

Christopher Barnett

Joachim Wolff

Melanie Föll

Olha Nahorna

Dave Clements

Teresa Müller

Anna Syme

Funding

These individuals or organisations provided funding support for the development of this resource

Gallantries

This project (2020-1-NL01-KA203-064717) is funded with the support of the Erasmus+ programme of the European Union. Their funding has supported a large number of tutorials within the GTN across a wide array of topics.