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 () and 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
español
    Video Languages

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
galaxy-intro
Introduction to Digital Humanities in Galaxy
text mining
Introduction to Galaxy as an RDM platform
galaxy-intro fair

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 galaxy-intro
From peaks to genes
deutsch español italiano
How to reproduce published Galaxy analyses
galaxy-intro
Introduction to Genomics and Galaxy
NGS data logistics
Options for using Galaxy

Other

Assorted Tutorials

Lesson Slides Hands-on Recordings Input dataset Workflows
Best Practices for Citing Galaxy
fair how-to-cite-galaxy
Introduction to the Dataverse Integration in Galaxy

Learning Pathways

Or have a look at one of our learning pathways involving this topic. Learning pathways are sets of tutorials curated for you by community experts to form a coherent set of lessons around a topic, building up knowledge as you go. We always recommend to follow the tutorials in the order they are listed in the pathway.
GTN logo with a multi-coloured star and the words Galaxy Training Network
Introduction to Galaxy and Sequence analysis

This learning path aims to teach you the basics of Galaxy and analysis of sequencing data. You will learn how to use Galaxy for analysis, and will be guided through the most common first steps of any genome analysis; quality control and a mapping or assembly of your genomic sequences.

beginner introduction sequence-analysis assembly

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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Community Resources

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Editorial Board

This material is reviewed by our Editorial Board:

orcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoDelphine Lariviere avatar Delphine Lariviereorcid logoTeresa Müller avatar Teresa Müller

Are you on the editorial board or want to help out with this topic? View the topic maintainer page for ways to improve this topic!

Contributors

This material was contributed to by:

Scott Cain avatar Scott Cainorcid logoMatthias Bernt avatar Matthias BerntMirela Minkova avatar Mirela Minkovaorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoTeresa Müller avatar Teresa Müllerorcid logoArmin Dadras avatar Armin Dadrasorcid logoCristóbal Gallardo avatar Cristóbal GallardoCyril Monjeaud avatar Cyril Monjeaudorcid logoAlex Ostrovsky avatar Alex OstrovskyOlha Nahorna avatar Olha Nahornaorcid logoMarisa Loach avatar Marisa LoachWilliam Durand avatar William DurandMehmet Tekman avatar Mehmet Tekmanorcid logoRenato Alves avatar Renato Alvesorcid logoBérénice Batut avatar Bérénice Batutorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoHans-Rudolf Hotz avatar Hans-Rudolf HotzJoachim Wolff avatar Joachim WolffAnne Pajon avatar Anne Pajonorcid logoLucille Delisle avatar Lucille Delisleorcid logoPeter van Heusden avatar Peter van HeusdenGildas Le Corguillé avatar Gildas Le Corguilléorcid logoAnna Syme avatar Anna Symeorcid logoJohn Davis avatar John DavisDonny Vrins avatar Donny VrinsChristopher Barnett avatar Christopher Barnettorcid logoMarius van den Beek avatar Marius van den Beekorcid logoRand Zoabi avatar Rand Zoabiorcid logoWendi Bacon avatar Wendi Baconorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-JacksonGoodnews Sandy avatar Goodnews Sandyorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoAnup Kumar avatar Anup Kumarorcid logoPhil Reed avatar Phil Reedorcid logoSaskia Hiltemann avatar Saskia HiltemannMichele Maroni avatar Michele Maroniorcid logoMorgan Howells avatar Morgan Howellsorcid logoMelanie Föll avatar Melanie Föllorcid logoMartin Čech avatar Martin ČechDilmurat Yusuf avatar Dilmurat Yusuforcid logoNate Coraor avatar Nate Coraororcid logoMaria Doyle avatar Maria Doyleorcid logoHelena Rasche avatar Helena RascheAndrea Bagnacani avatar Andrea BagnacaniSarah Peter avatar Sarah Peterorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoDaniel Blankenberg avatar Daniel BlankenbergDavid López avatar David LópezMélanie Pétéra avatar Mélanie Pétéraorcid logoAhmed Hamid Awan avatar Ahmed Hamid Awanorcid logoWolfgang Maier avatar Wolfgang MaierSebastian Schaaf avatar Sebastian SchaafAlaa Elghamry avatar Alaa Elghamryorcid logoDeepti Varshney avatar Deepti VarshneyYongbin Li avatar Yongbin Liorcid logoClemens Blank avatar Clemens Blankorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoYvan Le Bras avatar Yvan Le BrasAnton Nekrutenko avatar Anton Nekrutenkoorcid logoNadia Goué avatar Nadia Gouéorcid logoDave Clements avatar Dave ClementsGareth Price avatar Gareth Priceorcid logoFlorian Heyl avatar Florian Heylorcid logoBjörn Grüning avatar Björn Grüningorcid logoAnne Fouilloux avatar Anne FouillouxNiall Beard avatar Niall Beard

Funding

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

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de.NBI
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SURF
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AI4Social+
AI4Social+ is funded under HORIZON-INFRA-2025-01-EOSC-03 to enable AI-readiness in the Humanities and Social Sciences under grant agreement number 101292886.
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EU
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MWK
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ErasmusMC
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Australian BioCommons
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ELIXIR Europe
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Melbourne Bioinformatics
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The University of Melbourne
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de.KCD
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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.
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UFR
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PSU
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DataPLANT