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:

orcid logoTristan Reynolds avatar Tristan ReynoldsWilliam Durand avatar William DurandMehmet Tekman avatar Mehmet TekmanGoodnews Sandy avatar Goodnews Sandyorcid logoTeresa Müller avatar Teresa Müllerorcid logoBert Droesbeke avatar Bert DroesbekeNiall Beard avatar Niall Beardorcid logoHans-Rudolf Hotz avatar Hans-Rudolf HotzYongbin Li avatar Yongbin LiJoachim Wolff avatar Joachim Wolfforcid logoCristóbal Gallardo avatar Cristóbal GallardoSebastian Schaaf avatar Sebastian SchaafMichele Maroni avatar Michele Maroniorcid logoClemens Blank avatar Clemens Blankorcid logoArmin Dadras avatar Armin Dadrasorcid logoRand Zoabi avatar Rand ZoabiMélanie Pétéra avatar Mélanie Pétéraorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoMelanie Föll avatar Melanie Föllorcid logoMartin Čech avatar Martin Čechorcid logoMaria Doyle avatar Maria Doyleorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoNadia Goué avatar Nadia GouéSarah Peter avatar Sarah Peterorcid logoMatthias Bernt avatar Matthias BerntAnton Nekrutenko avatar Anton Nekrutenkoorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoMarius van den Beek avatar Marius van den Beekorcid logoJohn Davis avatar John Davisorcid logoPeter van Heusden avatar Peter van Heusdenorcid logoDave Clements avatar Dave Clementsorcid logoMorgan Howells avatar Morgan Howellsorcid logoWolfgang Maier avatar Wolfgang Maierorcid logoAnup Kumar avatar Anup KumarGareth Price avatar Gareth Priceorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoDeepti Varshney avatar Deepti Varshneyorcid logoBérénice Batut avatar Bérénice Batutorcid logoHelena Rasche avatar Helena RascheOlha Nahorna avatar Olha Nahornaorcid logoNate Coraor avatar Nate CoraorMirela Minkova avatar Mirela Minkovaorcid logoAnna Syme avatar Anna SymeChristopher Barnett avatar Christopher Barnettorcid logoMarisa Loach avatar Marisa LoachScott Cain avatar Scott Cainorcid logoYvan Le Bras avatar Yvan Le BrasGildas Le Corguillé avatar Gildas Le Corguilléorcid logoDaniel Blankenberg avatar Daniel BlankenbergAndrea Bagnacani avatar Andrea Bagnacaniorcid logoBjörn Grüning avatar Björn GrüningDavid López avatar David Lópezorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoRenato Alves avatar Renato AlvesCyril Monjeaud avatar Cyril MonjeaudAlaa Elghamry avatar Alaa ElghamryDonny Vrins avatar Donny Vrinsorcid logoPhil Reed avatar Phil Reedorcid logoLucille Delisle avatar Lucille Delisleorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoWendi Bacon avatar Wendi Baconorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-SolanoAnne Pajon avatar Anne Pajonorcid logoAhmed Hamid Awan avatar Ahmed Hamid Awanorcid logoFlorian Heyl avatar Florian Heylorcid logoAlex Ostrovsky avatar Alex OstrovskyDilmurat Yusuf avatar Dilmurat Yusuf

Funding

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

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Australian BioCommons
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DataPLANT
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ErasmusMC
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de.NBI
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The University of Melbourne
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EU
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ELIXIR Europe
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Melbourne Bioinformatics
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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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PSU
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UFR
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AI4Social+
AI4Social+ is funded by the EU 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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MWK
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SURF