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:

Olha Nahorna avatar Olha Nahornaorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoAnna Syme avatar Anna Symeorcid logoHelena Rasche avatar Helena RascheChristopher Barnett avatar Christopher BarnettDilmurat Yusuf avatar Dilmurat YusufAnton Nekrutenko avatar Anton Nekrutenkoorcid logoBjörn Grüning avatar Björn Grüningorcid logoDave Clements avatar Dave Clementsorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoMelanie Föll avatar Melanie Föllorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoBérénice Batut avatar Bérénice BatutJoachim Wolff avatar Joachim Wolfforcid logoAnne Fouilloux avatar Anne FouillouxMichele Maroni avatar Michele MaroniAnne Pajon avatar Anne Pajonorcid logoNadia Goué avatar Nadia Gouéorcid logoSaskia Hiltemann avatar Saskia HiltemannSarah Peter avatar Sarah Peterorcid logoDaniel Blankenberg avatar Daniel BlankenbergAlaa Elghamry avatar Alaa ElghamryMarius van den Beek avatar Marius van den Beekorcid logoClemens Blank avatar Clemens BlankAndrea Bagnacani avatar Andrea Bagnacani

Funders

This material was funded by:

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