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:

Yongbin Li avatar Yongbin Liorcid logoFlorian Heyl avatar Florian Heylorcid logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoTeresa Müller avatar Teresa Müllerorcid logoWendi Bacon avatar Wendi Baconorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoMatthias Bernt avatar Matthias Berntorcid logoPeter van Heusden avatar Peter van Heusdenorcid logoNadia Goué avatar Nadia GouéOlha Nahorna avatar Olha NahornaAlaa Elghamry avatar Alaa Elghamryorcid logoRenato Alves avatar Renato Alvesorcid logoLucille Delisle avatar Lucille Delisleorcid logoPhil Reed avatar Phil Reedorcid logoArmin Dadras avatar Armin Dadrasorcid logoWolfgang Maier avatar Wolfgang MaierSebastian Schaaf avatar Sebastian SchaafJoachim Wolff avatar Joachim Wolfforcid logoNicola Soranzo avatar Nicola SoranzoWilliam Durand avatar William Durandorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoMartin Čech avatar Martin Čechorcid logoMarisa Loach avatar Marisa Loachorcid logoAlex Ostrovsky avatar Alex OstrovskyMélanie Pétéra avatar Mélanie Pétéraorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoPavankumar Videm avatar Pavankumar VidemGareth Price avatar Gareth Priceorcid logoMaria Doyle avatar Maria Doyleorcid logoMelanie Föll avatar Melanie Föllorcid logoBérénice Batut avatar Bérénice Batutorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoJohn Davis avatar John Davisorcid logoHelena Rasche avatar Helena RascheCyril Monjeaud avatar Cyril MonjeaudGildas Le Corguillé avatar Gildas Le Corguilléorcid logoYvan Le Bras avatar Yvan Le BrasDonny Vrins avatar Donny Vrinsorcid logoDeepti Varshney avatar Deepti VarshneyMichele Maroni avatar Michele Maroniorcid logoBjörn Grüning avatar Björn GrüningChristopher Barnett avatar Christopher Barnettorcid logoTristan Reynolds avatar Tristan ReynoldsGoodnews Sandy avatar Goodnews Sandyorcid logoAnup Kumar avatar Anup Kumarorcid logoNate Coraor avatar Nate Coraororcid logoDaniel Blankenberg avatar Daniel Blankenbergorcid logoAhmed Hamid Awan avatar Ahmed Hamid Awanorcid logoRand Zoabi avatar Rand ZoabiSarah Peter avatar Sarah Peterorcid logoMarius van den Beek avatar Marius van den BeekMehmet Tekman avatar Mehmet Tekmanorcid logoAnne Fouilloux avatar Anne FouillouxMirela Minkova avatar Mirela Minkovaorcid logoAnna Syme avatar Anna Symeorcid logoDave Clements avatar Dave ClementsAnne Pajon avatar Anne PajonNiall Beard avatar Niall BeardAndrea Bagnacani avatar Andrea BagnacaniDilmurat Yusuf avatar Dilmurat YusufScott Cain avatar Scott CainDavid López avatar David Lópezorcid logoMorgan Howells avatar Morgan Howellsorcid logoSaskia Hiltemann avatar Saskia HiltemannAnton Nekrutenko avatar Anton Nekrutenkoorcid logoClemens Blank avatar Clemens Blankorcid logoCristóbal Gallardo avatar Cristóbal Gallardo

Funding

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

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Australian BioCommons
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PSU
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ErasmusMC
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de.NBI
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DataPLANT
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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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UFR
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ELIXIR Europe
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The University of Melbourne
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SURF
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Melbourne Bioinformatics
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EU
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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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MWK
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de.KCD