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 logoPeter van Heusden avatar Peter van HeusdenScott Cain avatar Scott CainYongbin Li avatar Yongbin LiMehmet Tekman avatar Mehmet Tekmanorcid logoJohn Davis avatar John Davisorcid logoLucille Delisle avatar Lucille DelisleMirela Minkova avatar Mirela Minkovaorcid logoAnne Fouilloux avatar Anne FouillouxSebastian Schaaf avatar Sebastian Schaaforcid logoAnup Kumar avatar Anup Kumarorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoFlorian Heyl avatar Florian HeylNiall Beard avatar Niall Beardorcid logoDaniel Blankenberg avatar Daniel BlankenbergAndrea Bagnacani avatar Andrea Bagnacaniorcid logoClemens Blank avatar Clemens Blankorcid logoTeresa Müller avatar Teresa Müllerorcid logoDeepti Varshney avatar Deepti VarshneySarah Peter avatar Sarah PeterAlaa Elghamry avatar Alaa ElghamryAnton Nekrutenko avatar Anton NekrutenkoDilmurat Yusuf avatar Dilmurat Yusuforcid logoMatthias Bernt avatar Matthias BerntCyril Monjeaud avatar Cyril Monjeaudorcid logoSaskia Hiltemann avatar Saskia HiltemannWilliam Durand avatar William DurandDonny Vrins avatar Donny Vrinsorcid logoMorgan Howells avatar Morgan Howellsorcid logoNadia Goué avatar Nadia Gouéorcid logoMaria Doyle avatar Maria Doyleorcid logoWolfgang Maier avatar Wolfgang MaierOlha Nahorna avatar Olha Nahornaorcid logoPhil Reed avatar Phil Reedorcid logoNate Coraor avatar Nate Coraororcid logoTristan Reynolds avatar Tristan ReynoldsGildas Le Corguillé avatar Gildas Le Corguilléorcid logoMartin Čech avatar Martin Čechorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoRenato Alves avatar Renato Alvesorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoHelena Rasche avatar Helena Rascheorcid logoMelanie Föll avatar Melanie FöllGoodnews Sandy avatar Goodnews Sandyorcid logoArmin Dadras avatar Armin Dadrasorcid logoBjörn Grüning avatar Björn Grüningorcid logoAnna Syme avatar Anna SymeMichele Maroni avatar Michele Maroniorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoWendi Bacon avatar Wendi BaconAnne Pajon avatar Anne Pajonorcid logoMarisa Loach avatar Marisa LoachDavid López avatar David Lópezorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoAhmed Hamid Awan avatar Ahmed Hamid Awanorcid logoMarius van den Beek avatar Marius van den BeekMélanie Pétéra avatar Mélanie PétéraGareth Price avatar Gareth PriceJoachim Wolff avatar Joachim Wolfforcid logoBérénice Batut avatar Bérénice BatutChristopher Barnett avatar Christopher Barnettorcid logoRand Zoabi avatar Rand Zoabiorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoDave Clements avatar Dave Clementsorcid logoAlex Ostrovsky avatar Alex Ostrovsky

Funding

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

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