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 logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoMelanie Föll avatar Melanie Föllorcid logoMarisa Loach avatar Marisa Loachorcid logoHelena Rasche avatar Helena RascheChristopher Barnett avatar Christopher BarnettJoachim Wolff avatar Joachim WolffNiall Beard avatar Niall Beardorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoMorgan Howells avatar Morgan Howellsorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-SolanoAndrea Bagnacani avatar Andrea BagnacaniAnne Pajon avatar Anne PajonDavid López avatar David Lópezorcid logoAnthony Bretaudeau avatar Anthony BretaudeauYongbin Li avatar Yongbin LiGildas Le Corguillé avatar Gildas Le Corguilléorcid logoMaria Doyle avatar Maria DoyleOlha Nahorna avatar Olha NahornaWilliam Durand avatar William Durandorcid logoRenato Alves avatar Renato Alvesorcid logoJohn Davis avatar John Davisorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoPeter van Heusden avatar Peter van Heusdenorcid logoDeepti Varshney avatar Deepti Varshneyorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoAhmed Hamid Awan avatar Ahmed Hamid AwanCyril Monjeaud avatar Cyril Monjeaudorcid logoNadia Goué avatar Nadia Gouéorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoWendi Bacon avatar Wendi Baconorcid logoWolfgang Maier avatar Wolfgang Maierorcid logoClemens Blank avatar Clemens Blankorcid logoNate Coraor avatar Nate CoraorAnton Nekrutenko avatar Anton NekrutenkoGareth Price avatar Gareth PriceSebastian Schaaf avatar Sebastian Schaaforcid logoDaniel Blankenberg avatar Daniel Blankenbergorcid logoTeresa Müller avatar Teresa Müllerorcid logoArmin Dadras avatar Armin DadrasDonny Vrins avatar Donny Vrinsorcid logoAnup Kumar avatar Anup Kumarorcid logoRand Zoabi avatar Rand ZoabiDilmurat Yusuf avatar Dilmurat YusufMirela Minkova avatar Mirela Minkovaorcid logoMarius van den Beek avatar Marius van den Beekorcid logoMartin Čech avatar Martin Čechorcid logoLucille Delisle avatar Lucille Delisleorcid logoMatthias Bernt avatar Matthias BerntMehmet Tekman avatar Mehmet Tekmanorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoAnna Syme avatar Anna SymeScott Cain avatar Scott Cainorcid logoAnne Fouilloux avatar Anne FouillouxAlaa Elghamry avatar Alaa Elghamryorcid logoPhil Reed avatar Phil ReedMichele Maroni avatar Michele MaroniSarah Peter avatar Sarah Peterorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoBert Droesbeke avatar Bert DroesbekeGoodnews Sandy avatar Goodnews Sandyorcid logoCristóbal Gallardo avatar Cristóbal GallardoMélanie Pétéra avatar Mélanie Pétéraorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoFlorian Heyl avatar Florian Heylorcid logoDave Clements avatar Dave Clementsorcid logoBjörn Grüning avatar Björn Grüningorcid logoBérénice Batut avatar Bérénice Batut

Funding

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

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