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 logoMelanie Föll avatar Melanie Föllorcid logoMartin Čech avatar Martin ČechYongbin Li avatar Yongbin Liorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoWolfgang Maier avatar Wolfgang Maierorcid logoBjörn Grüning avatar Björn GrüningMehmet Tekman avatar Mehmet TekmanAnton Nekrutenko avatar Anton NekrutenkoJoachim Wolff avatar Joachim Wolfforcid logoDaniela Schneider avatar Daniela Schneiderorcid logoHans-Rudolf Hotz avatar Hans-Rudolf HotzScott Cain avatar Scott Cainorcid logoMorgan Howells avatar Morgan Howellsorcid logoHelena Rasche avatar Helena Rascheorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoTeresa Müller avatar Teresa Müllerorcid logoBérénice Batut avatar Bérénice Batutorcid logoAhmed Hamid Awan avatar Ahmed Hamid AwanMirela Minkova avatar Mirela MinkovaSebastian Schaaf avatar Sebastian Schaaforcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoNate Coraor avatar Nate CoraorNiall Beard avatar Niall BeardChristopher Barnett avatar Christopher Barnettorcid logoWendi Bacon avatar Wendi Baconorcid logoRand Zoabi avatar Rand ZoabiDonny Vrins avatar Donny Vrinsorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoArmin Dadras avatar Armin Dadrasorcid logoAnup Kumar avatar Anup Kumarorcid logoPeter van Heusden avatar Peter van HeusdenGareth Price avatar Gareth PriceSarah Peter avatar Sarah PeterGildas Le Corguillé avatar Gildas Le Corguilléorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoMatthias Bernt avatar Matthias Berntorcid logoAnna Syme avatar Anna SymeGoodnews Sandy avatar Goodnews SandyAndrea Bagnacani avatar Andrea Bagnacaniorcid logoDeepti Varshney avatar Deepti VarshneyDavid López avatar David Lópezorcid logoMarius van den Beek avatar Marius van den BeekCyril Monjeaud avatar Cyril MonjeaudMichele Maroni avatar Michele Maroniorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoRenato Alves avatar Renato Alvesorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoLucille Delisle avatar Lucille DelisleAnne Pajon avatar Anne Pajonorcid logoClemens Blank avatar Clemens Blankorcid logoPhil Reed avatar Phil Reedorcid logoMaria Doyle avatar Maria Doyleorcid logoMarisa Loach avatar Marisa Loachorcid logoFlorian Heyl avatar Florian Heylorcid logoDaniel Blankenberg avatar Daniel BlankenbergDilmurat Yusuf avatar Dilmurat Yusuforcid logoJohn Davis avatar John DavisAlaa Elghamry avatar Alaa ElghamryMélanie Pétéra avatar Mélanie Pétéraorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoAnne Fouilloux avatar Anne FouillouxOlha Nahorna avatar Olha NahornaWilliam Durand avatar William Durandorcid logoNadia Goué avatar Nadia Gouéorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoDave Clements avatar Dave Clements

Funding

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

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