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 logoAnna Syme avatar Anna Symeorcid logoDaniel Blankenberg avatar Daniel Blankenbergorcid logoJohn Davis avatar John DavisSebastian Schaaf avatar Sebastian Schaaforcid logoPeter van Heusden avatar Peter van HeusdenJoachim Wolff avatar Joachim Wolfforcid logoBjörn Grüning avatar Björn Grüningorcid logoMatthias Bernt avatar Matthias Berntorcid logoNadia Goué avatar Nadia GouéNiall Beard avatar Niall Beardorcid logoMelanie Föll avatar Melanie Föllorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-JacksonMélanie Pétéra avatar Mélanie PétéraOlha Nahorna avatar Olha Nahornaorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoDeepti Varshney avatar Deepti Varshneyorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoPhil Reed avatar Phil ReedChristopher Barnett avatar Christopher BarnettSarah Peter avatar Sarah Peterorcid logoArmin Dadras avatar Armin DadrasGoodnews Sandy avatar Goodnews Sandyorcid logoClemens Blank avatar Clemens Blankorcid logoAhmed Hamid Awan avatar Ahmed Hamid Awanorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoMaria Doyle avatar Maria Doyleorcid logoRenato Alves avatar Renato AlvesCyril Monjeaud avatar Cyril Monjeaudorcid logoDave Clements avatar Dave ClementsDonny Vrins avatar Donny Vrinsorcid logoBérénice Batut avatar Bérénice Batutorcid logoRand Zoabi avatar Rand Zoabiorcid logoMartin Čech avatar Martin ČechAndrea Bagnacani avatar Andrea Bagnacaniorcid logoTeresa Müller avatar Teresa Müllerorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoFlorian Heyl avatar Florian Heylorcid logoMarisa Loach avatar Marisa LoachAlaa Elghamry avatar Alaa ElghamryDavid López avatar David Lópezorcid logoMorgan Howells avatar Morgan Howellsorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoLucille Delisle avatar Lucille Delisleorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoCristóbal Gallardo avatar Cristóbal GallardoAnton Nekrutenko avatar Anton Nekrutenkoorcid logoYvan Le Bras avatar Yvan Le BrasMehmet Tekman avatar Mehmet TekmanDilmurat Yusuf avatar Dilmurat YusufGareth Price avatar Gareth PriceScott Cain avatar Scott CainAnne Pajon avatar Anne Pajonorcid logoTristan Reynolds avatar Tristan ReynoldsMirela Minkova avatar Mirela Minkovaorcid logoNate Coraor avatar Nate Coraororcid logoWolfgang Maier avatar Wolfgang Maierorcid logoHans-Rudolf Hotz avatar Hans-Rudolf HotzGildas Le Corguillé avatar Gildas Le Corguilléorcid logoMarius van den Beek avatar Marius van den BeekMichele Maroni avatar Michele Maroniorcid logoAlex Ostrovsky avatar Alex OstrovskyYongbin Li avatar Yongbin Liorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoWendi Bacon avatar Wendi Baconorcid logoAnup Kumar avatar Anup Kumarorcid logoHelena Rasche avatar Helena RascheWilliam Durand avatar William Durand

Funding

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

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