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:

Dilmurat Yusuf avatar Dilmurat Yusuforcid logoMartin Čech avatar Martin ČechDavid López avatar David Lópezorcid logoTeresa Müller avatar Teresa Müllerorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoBert Droesbeke avatar Bert DroesbekeMehmet Tekman avatar Mehmet Tekmanorcid logoAnne Fouilloux avatar Anne FouillouxScott Cain avatar Scott Cainorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoWendi Bacon avatar Wendi Baconorcid logoClemens Blank avatar Clemens BlankAnton Nekrutenko avatar Anton NekrutenkoMélanie Pétéra avatar Mélanie PétéraGareth Price avatar Gareth Priceorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoMarisa Loach avatar Marisa LoachAnne Pajon avatar Anne Pajonorcid logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoJohn Davis avatar John Davisorcid logoDeepti Varshney avatar Deepti VarshneyWilliam Durand avatar William DurandAlaa Elghamry avatar Alaa ElghamryNiall Beard avatar Niall BeardSarah Peter avatar Sarah Peterorcid logoMaria Doyle avatar Maria DoyleAndrea Bagnacani avatar Andrea Bagnacaniorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoAnna Syme avatar Anna SymeOlha Nahorna avatar Olha Nahornaorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoFlorian Heyl avatar Florian Heylorcid logoWolfgang Maier avatar Wolfgang MaierJoachim Wolff avatar Joachim Wolfforcid logoMatthias Bernt avatar Matthias BerntMirela Minkova avatar Mirela Minkovaorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoNadia Goué avatar Nadia GouéMichele Maroni avatar Michele Maroniorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoBjörn Grüning avatar Björn Grüningorcid logoHelena Rasche avatar Helena Rascheorcid logoAnup Kumar avatar Anup KumarChristopher Barnett avatar Christopher Barnettorcid logoMarius van den Beek avatar Marius van den Beekorcid logoArmin Dadras avatar Armin DadrasSebastian Schaaf avatar Sebastian Schaaforcid logoAhmed Hamid Awan avatar Ahmed Hamid Awanorcid logoRenato Alves avatar Renato AlvesGoodnews Sandy avatar Goodnews SandyGildas Le Corguillé avatar Gildas Le Corguilléorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoLucille Delisle avatar Lucille Delisleorcid logoPeter van Heusden avatar Peter van HeusdenYongbin Li avatar Yongbin Liorcid logoNate Coraor avatar Nate Coraororcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoBérénice Batut avatar Bérénice BatutDonny Vrins avatar Donny Vrinsorcid logoMelanie Föll avatar Melanie FöllCyril Monjeaud avatar Cyril Monjeaudorcid logoRand Zoabi avatar Rand Zoabiorcid logoDave Clements avatar Dave Clementsorcid logoMorgan Howells avatar Morgan Howellsorcid logoPhil Reed avatar Phil Reedorcid logoDaniel Blankenberg avatar Daniel Blankenberg

Funding

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

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SURF
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Melbourne Bioinformatics
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MWK
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The University of Melbourne
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de.NBI
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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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DataPLANT
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EU
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Australian BioCommons
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PSU
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ELIXIR Europe
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UFR
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de.KCD
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ErasmusMC
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AI4Social+
AI4Social+ is funded under HORIZON-INFRA-2025-01-EOSC-03 to enable AI-readiness in the Humanities and Social Sciences under grant agreement number 101292886.