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:

Mehmet Tekman avatar Mehmet Tekmanorcid logoTeresa Müller avatar Teresa Müllerorcid logoNicola Soranzo avatar Nicola SoranzoSarah Peter avatar Sarah Peterorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoCristóbal Gallardo avatar Cristóbal GallardoMirela Minkova avatar Mirela MinkovaAndrea Bagnacani avatar Andrea Bagnacaniorcid logoClemens Blank avatar Clemens Blankorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoBérénice Batut avatar Bérénice Batutorcid logoDave Clements avatar Dave ClementsGareth Price avatar Gareth Priceorcid logoMaria Doyle avatar Maria Doyleorcid logoDaniel Blankenberg avatar Daniel Blankenbergorcid logoAhmed Hamid Awan avatar Ahmed Hamid AwanDavid López avatar David LópezSebastian Schaaf avatar Sebastian Schaaforcid logoRand Zoabi avatar Rand Zoabiorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoJohn Chilton avatar John ChiltonNiall Beard avatar Niall BeardAnton Nekrutenko avatar Anton NekrutenkoMichele Maroni avatar Michele MaroniGoodnews Sandy avatar Goodnews Sandyorcid logoMarius van den Beek avatar Marius van den Beekorcid logoPeter van Heusden avatar Peter van Heusdenorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoMelanie Föll avatar Melanie Föllorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoFlorian Heyl avatar Florian Heylorcid logoNate Coraor avatar Nate Coraororcid logoWolfgang Maier avatar Wolfgang MaierAnne Pajon avatar Anne Pajonorcid logoSaskia Hiltemann avatar Saskia HiltemannMélanie Pétéra avatar Mélanie PétéraWilliam Durand avatar William Durandorcid logoAnthony Bretaudeau avatar Anthony BretaudeauGildas Le Corguillé avatar Gildas Le Corguilléorcid logoRenato Alves avatar Renato AlvesJoachim Wolff avatar Joachim Wolfforcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoArmin Dadras avatar Armin Dadrasorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoMatthias Bernt avatar Matthias Berntorcid logoAnna Syme avatar Anna Symeorcid logoPhil Reed avatar Phil Reedorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoMorgan Howells avatar Morgan HowellsScott Cain avatar Scott CainDilmurat Yusuf avatar Dilmurat Yusuforcid logoLucille Delisle avatar Lucille Delisleorcid logoHelena Rasche avatar Helena Rascheorcid logoJohn Davis avatar John DavisChristopher Barnett avatar Christopher Barnettorcid logoDeepti Varshney avatar Deepti Varshneyorcid logoWendi Bacon avatar Wendi Baconorcid logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoMarisa Loach avatar Marisa LoachYongbin Li avatar Yongbin Liorcid logoMartin Čech avatar Martin ČechCyril Monjeaud avatar Cyril MonjeaudDonny Vrins avatar Donny Vrinsorcid logoNadia Goué avatar Nadia GouéOlha Nahorna avatar Olha Nahornaorcid logoAnup Kumar avatar Anup Kumarorcid logoBjörn Grüning avatar Björn GrüningAlaa Elghamry avatar Alaa Elghamry

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