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 logoHelena Rasche avatar Helena Rascheorcid logoAnthony Bretaudeau avatar Anthony BretaudeauOlha Nahorna avatar Olha NahornaChristopher Barnett avatar Christopher Barnettorcid logoPeter van Heusden avatar Peter van HeusdenGildas Le Corguillé avatar Gildas Le Corguilléorcid logoAhmed Hamid Awan avatar Ahmed Hamid Awanorcid logoClemens Blank avatar Clemens BlankDilmurat Yusuf avatar Dilmurat Yusuforcid logoDaniela Schneider avatar Daniela Schneiderorcid logoDave Clements avatar Dave ClementsDonny Vrins avatar Donny Vrinsorcid logoBjörn Grüning avatar Björn GrüningGareth Price avatar Gareth Priceorcid logoBérénice Batut avatar Bérénice BatutYongbin Li avatar Yongbin Liorcid logoTeresa Müller avatar Teresa Müllerorcid logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoFlorian Heyl avatar Florian Heylorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoWolfgang Maier avatar Wolfgang MaierJoachim Wolff avatar Joachim Wolfforcid logoCristóbal Gallardo avatar Cristóbal GallardoNiall Beard avatar Niall Beardorcid logoMarisa Loach avatar Marisa Loachorcid logoMorgan Howells avatar Morgan Howellsorcid logoMartin Čech avatar Martin Čechorcid logoDeepti Varshney avatar Deepti VarshneyAndrea Bagnacani avatar Andrea Bagnacaniorcid logoMelanie Föll avatar Melanie Föllorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoRand Zoabi avatar Rand Zoabiorcid logoArmin Dadras avatar Armin DadrasSebastian Schaaf avatar Sebastian Schaaforcid logoMatthias Bernt avatar Matthias BerntMichele Maroni avatar Michele Maroniorcid logoJohn Davis avatar John Davisorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoAnna Syme avatar Anna SymeMirela Minkova avatar Mirela MinkovaAlaa Elghamry avatar Alaa Elghamryorcid logoAnup Kumar avatar Anup Kumarorcid logoMaria Doyle avatar Maria DoyleAnne Pajon avatar Anne Pajonorcid logoMarius van den Beek avatar Marius van den Beekorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoPhil Reed avatar Phil ReedAnton Nekrutenko avatar Anton NekrutenkoScott Cain avatar Scott CainMélanie Pétéra avatar Mélanie PétéraDavid López avatar David LópezWilliam Durand avatar William Durandorcid logoBert Droesbeke avatar Bert DroesbekeCyril Monjeaud avatar Cyril Monjeaudorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoRenato Alves avatar Renato AlvesMehmet Tekman avatar Mehmet Tekmanorcid logoNate Coraor avatar Nate CoraorSarah Peter avatar Sarah Peterorcid logoLucille Delisle avatar Lucille Delisleorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoDaniel Blankenberg avatar Daniel Blankenbergorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoNadia Goué avatar Nadia Gouéorcid logoWendi Bacon avatar Wendi Baconorcid logoNicola Soranzo avatar Nicola SoranzoGoodnews Sandy avatar Goodnews Sandy

Funding

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

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