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:

Mirela Minkova avatar Mirela Minkovaorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoDaniel Blankenberg avatar Daniel Blankenbergorcid logoMatthias Bernt avatar Matthias Berntorcid logoNadia Goué avatar Nadia Gouéorcid logoAnthony Bretaudeau avatar Anthony BretaudeauScott Cain avatar Scott Cainorcid logoPeter van Heusden avatar Peter van HeusdenYongbin Li avatar Yongbin Liorcid logoMartin Čech avatar Martin ČechAlaa Elghamry avatar Alaa ElghamryDonny Vrins avatar Donny VrinsMichele Maroni avatar Michele Maroniorcid logoMarisa Loach avatar Marisa Loachorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoMaria Doyle avatar Maria DoyleGoodnews Sandy avatar Goodnews Sandyorcid logoMelanie Föll avatar Melanie FöllAnne Pajon avatar Anne Pajonorcid logoPhil Reed avatar Phil Reedorcid logoTeresa Müller avatar Teresa MüllerDilmurat Yusuf avatar Dilmurat YusufWilliam Durand avatar William Durandorcid logoDave Clements avatar Dave Clementsorcid logoAhmed Hamid Awan avatar Ahmed Hamid AwanAnton Nekrutenko avatar Anton Nekrutenkoorcid logoJohn Davis avatar John Davisorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoHelena Rasche avatar Helena Rascheorcid logoNicola Soranzo avatar Nicola SoranzoNiall Beard avatar Niall Beardorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoNate Coraor avatar Nate Coraororcid logoRand Zoabi avatar Rand ZoabiOlha Nahorna avatar Olha NahornaMélanie Pétéra avatar Mélanie PétéraGildas Le Corguillé avatar Gildas Le CorguilléMehmet Tekman avatar Mehmet TekmanSarah Peter avatar Sarah Peterorcid logoRenato Alves avatar Renato AlvesJoachim Wolff avatar Joachim WolffSebastian Schaaf avatar Sebastian Schaaforcid logoBert Droesbeke avatar Bert DroesbekeChristopher Barnett avatar Christopher Barnettorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoBérénice Batut avatar Bérénice Batutorcid logoClemens Blank avatar Clemens BlankCyril Monjeaud avatar Cyril Monjeaudorcid logoBjörn Grüning avatar Björn Grüningorcid logoMarius van den Beek avatar Marius van den Beekorcid logoAnna Syme avatar Anna Symeorcid logoWolfgang Maier avatar Wolfgang Maierorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoHans-Rudolf Hotz avatar Hans-Rudolf HotzDavid López avatar David LópezGareth Price avatar Gareth Priceorcid logoAnup Kumar avatar Anup KumarAndrea Bagnacani avatar Andrea Bagnacaniorcid logoMorgan Howells avatar Morgan Howellsorcid logoArmin Dadras avatar Armin Dadrasorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoDeepti Varshney avatar Deepti Varshneyorcid logoLucille Delisle avatar Lucille Delisleorcid logoFlorian Heyl avatar Florian Heylorcid logoWendi Bacon avatar Wendi Bacon

Funding

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

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