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:

David López avatar David LópezYongbin Li avatar Yongbin Liorcid logoTeresa Müller avatar Teresa MüllerMirela Minkova avatar Mirela Minkovaorcid logoMartin Čech avatar Martin Čechorcid logoNadia Goué avatar Nadia Gouéorcid logoAhmed Hamid Awan avatar Ahmed Hamid AwanScott Cain avatar Scott Cainorcid logoDeepti Varshney avatar Deepti Varshneyorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoBérénice Batut avatar Bérénice BatutDilmurat Yusuf avatar Dilmurat Yusuforcid logoMarisa Loach avatar Marisa LoachJoachim Wolff avatar Joachim Wolfforcid logoRenato Alves avatar Renato AlvesSebastian Schaaf avatar Sebastian SchaafMehmet Tekman avatar Mehmet TekmanAnton Nekrutenko avatar Anton Nekrutenkoorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoClemens Blank avatar Clemens Blankorcid logoMaria Doyle avatar Maria Doyleorcid logoYvan Le Bras avatar Yvan Le BrasOlha Nahorna avatar Olha NahornaDonny Vrins avatar Donny VrinsAnne Pajon avatar Anne Pajonorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoJohn Davis avatar John Davisorcid logoBjörn Grüning avatar Björn Grüningorcid logoTristan Reynolds avatar Tristan ReynoldsMélanie Pétéra avatar Mélanie Pétéraorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoMorgan Howells avatar Morgan HowellsChristopher Barnett avatar Christopher Barnettorcid logoMarius van den Beek avatar Marius van den BeekSarah Peter avatar Sarah PeterAlaa Elghamry avatar Alaa Elghamryorcid logoNate Coraor avatar Nate Coraororcid logoWolfgang Maier avatar Wolfgang MaierGareth Price avatar Gareth PriceNiall Beard avatar Niall Beardorcid logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoWendi Bacon avatar Wendi Baconorcid logoDaniel Blankenberg avatar Daniel Blankenbergorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoMatthias Bernt avatar Matthias Berntorcid logoBert Droesbeke avatar Bert DroesbekeCyril Monjeaud avatar Cyril Monjeaudorcid logoHelena Rasche avatar Helena Rascheorcid logoDave Clements avatar Dave Clementsorcid logoPeter van Heusden avatar Peter van Heusdenorcid logoAnup Kumar avatar Anup Kumarorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoRand Zoabi avatar Rand Zoabiorcid logoMelanie Föll avatar Melanie FöllWilliam Durand avatar William Durandorcid logoFlorian Heyl avatar Florian Heylorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoPhil Reed avatar Phil ReedGildas Le Corguillé avatar Gildas Le CorguilléMichele Maroni avatar Michele MaroniAndrea Bagnacani avatar Andrea Bagnacaniorcid logoAnna Syme avatar Anna Symeorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoArmin Dadras avatar Armin DadrasGoodnews Sandy avatar Goodnews Sandyorcid logoLucille Delisle avatar Lucille Delisle

Funding

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

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