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.

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides () and tutorial () buttons below.

Material

First Time Using Galaxy

A quick look at using Galaxy

Lesson Slides Hands-on Recordings Input dataset Workflows
Introduction to Galaxy
A short introduction to Galaxy
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Your First Analysis

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

Lesson Slides Hands-on Recordings Input dataset Workflows
Galaxy Basics for everyone
Galaxy Basics for genomics

Go a bit further

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

Lesson Slides Hands-on Recordings Input dataset Workflows
Data Manipulation Olympics
cyoa
From peaks to genes
How to reproduce published Galaxy analyses
Introduction to Genomics and Galaxy
NGS data logistics
Options for using Galaxy

Other

Assorted Tutorials

Lesson Slides Hands-on Recordings Input dataset Workflows

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:

orcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoDave Clements avatar Dave Clements

For any question related to this topic and the content, you can contact them or visit our Gitter channel.

Contributors

This material was contributed to by:

orcid logoHelena Rasche avatar Helena RascheAnne Pajon avatar Anne PajonAlaa Elghamry avatar Alaa ElghamryMichele Maroni avatar Michele Maroniorcid logoDave Clements avatar Dave ClementsJoachim Wolff avatar Joachim WolffDilmurat Yusuf avatar Dilmurat YusufMarius van den Beek avatar Marius van den Beekorcid logoNadia Goué avatar Nadia Gouéorcid logoBjörn Grüning avatar Björn Grüningorcid logoMelanie Föll avatar Melanie Föllorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoBérénice Batut avatar Bérénice BatutAnton Nekrutenko avatar Anton Nekrutenkoorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoDaniel Blankenberg avatar Daniel BlankenbergAndrea Bagnacani avatar Andrea Bagnacaniorcid logoAnna Syme avatar Anna SymeSarah Peter avatar Sarah PeterChristopher Barnett avatar Christopher Barnettorcid logoAnthony Bretaudeau avatar Anthony BretaudeauOlha Nahorna avatar Olha Nahornaorcid logoClemens Blank avatar Clemens Blank

Funders

This material was funded by:

Gallantries: Bridging Training Communities in Life Science, Environment and Health avatar Gallantries