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:

Gareth Price avatar Gareth PriceScott Cain avatar Scott Cainorcid logoAnna Syme avatar Anna Symeorcid logoBérénice Batut avatar Bérénice Batutorcid logoAhmed Hamid Awan avatar Ahmed Hamid AwanAnne Pajon avatar Anne Pajonorcid logoNate Coraor avatar Nate Coraororcid logoDaniel Blankenberg avatar Daniel BlankenbergYongbin Li avatar Yongbin Liorcid logoMorgan Howells avatar Morgan HowellsJoachim Wolff avatar Joachim Wolfforcid logoHelena Rasche avatar Helena Rascheorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoNicola Soranzo avatar Nicola SoranzoGildas Le Corguillé avatar Gildas Le CorguilléWilliam Durand avatar William Durandorcid logoWendi Bacon avatar Wendi BaconSebastian Schaaf avatar Sebastian Schaaforcid logoMarius van den Beek avatar Marius van den BeekCyril Monjeaud avatar Cyril Monjeaudorcid logoLucille Delisle avatar Lucille Delisleorcid logoMartin Čech avatar Martin Čechorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoRenato Alves avatar Renato Alvesorcid logoMelanie Föll avatar Melanie FöllDilmurat Yusuf avatar Dilmurat Yusuforcid logoJohn Davis avatar John Davisorcid logoDeepti Varshney avatar Deepti Varshneyorcid logoFlorian Heyl avatar Florian HeylNiall Beard avatar Niall Beardorcid logoAlex Ostrovsky avatar Alex OstrovskyAndrea Bagnacani avatar Andrea Bagnacaniorcid logoRand Zoabi avatar Rand Zoabiorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoDaniela Schneider avatar Daniela SchneiderMehmet Tekman avatar Mehmet TekmanMichele Maroni avatar Michele MaroniChristopher Barnett avatar Christopher Barnettorcid logoAnup Kumar avatar Anup Kumarorcid logoBjörn Grüning avatar Björn Grüningorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoClemens Blank avatar Clemens BlankDonny Vrins avatar Donny Vrinsorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoWolfgang Maier avatar Wolfgang MaierSarah Peter avatar Sarah Peterorcid logoAnthony Bretaudeau avatar Anthony BretaudeauOlha Nahorna avatar Olha NahornaGoodnews Sandy avatar Goodnews Sandyorcid logoNadia Goué avatar Nadia GouéMirela Minkova avatar Mirela MinkovaMélanie Pétéra avatar Mélanie Pétéraorcid logoMaria Doyle avatar Maria Doyleorcid logoPhil Reed avatar Phil Reedorcid logoMatthias Bernt avatar Matthias Berntorcid logoArmin Dadras avatar Armin Dadrasorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-JacksonAnton Nekrutenko avatar Anton NekrutenkoAlaa Elghamry avatar Alaa Elghamryorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoDave Clements avatar Dave Clementsorcid logoTristan Reynolds avatar Tristan ReynoldsDavid López avatar David Lópezorcid logoMarisa Loach avatar Marisa Loachorcid logoPeter van Heusden avatar Peter van Heusdenorcid logoJohn Chilton avatar John Chiltonorcid logoTeresa Müller avatar Teresa Müller

Funding

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

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