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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

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

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

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
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

Contributors

This material was contributed to by:

orcid logoAhmed Hamid Awan avatar Ahmed Hamid AwanJoachim Wolff avatar Joachim Wolfforcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoNicola Soranzo avatar Nicola SoranzoChristopher Barnett avatar Christopher Barnettorcid logoNadia Goué avatar Nadia Gouéorcid logoAnna Syme avatar Anna SymeYongbin Li avatar Yongbin LiAnne Pajon avatar Anne Pajonorcid logoAnthony Bretaudeau avatar Anthony BretaudeauAlaa Elghamry avatar Alaa Elghamryorcid logoBjörn Grüning avatar Björn Grüningorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoDaniel Blankenberg avatar Daniel BlankenbergSarah Peter avatar Sarah PeterMarius van den Beek avatar Marius van den BeekOlha Nahorna avatar Olha Nahornaorcid logoMelanie Föll avatar Melanie FöllAndrea Bagnacani avatar Andrea Bagnacaniorcid logoClemens Blank avatar Clemens Blankorcid logoDave Clements avatar Dave Clementsorcid logoSaskia Hiltemann avatar Saskia HiltemannDilmurat Yusuf avatar Dilmurat Yusuforcid logoHelena Rasche avatar Helena Rascheorcid logoBérénice Batut avatar Bérénice BatutAnton Nekrutenko avatar Anton NekrutenkoTeresa Müller avatar Teresa MüllerMichele Maroni avatar Michele Maroni

Funding

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