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 HotzSarah Peter avatar Sarah PeterOlha Nahorna avatar Olha Nahornaorcid logoJohn Davis avatar John Davisorcid logoAnna Syme avatar Anna SymeAnton Nekrutenko avatar Anton NekrutenkoDavid López avatar David LópezGildas Le Corguillé avatar Gildas Le Corguilléorcid logoWolfgang Maier avatar Wolfgang Maierorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-JacksonMirela Minkova avatar Mirela Minkovaorcid logoDeepti Varshney avatar Deepti Varshneyorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoMaria Doyle avatar Maria DoyleMehmet Tekman avatar Mehmet TekmanChristopher Barnett avatar Christopher Barnettorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoBjörn Grüning avatar Björn Grüningorcid logoBérénice Batut avatar Bérénice Batutorcid logoFlorian Heyl avatar Florian Heylorcid logoMatthias Bernt avatar Matthias Berntorcid logoPavankumar Videm avatar Pavankumar VidemSebastian Schaaf avatar Sebastian Schaaforcid logoMorgan Howells avatar Morgan Howellsorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoCristóbal Gallardo avatar Cristóbal GallardoAlaa Elghamry avatar Alaa Elghamryorcid logoAhmed Hamid Awan avatar Ahmed Hamid Awanorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoRand Zoabi avatar Rand ZoabiNiall Beard avatar Niall Beardorcid logoLucille Delisle avatar Lucille Delisleorcid logoArmin Dadras avatar Armin DadrasDilmurat Yusuf avatar Dilmurat YusufJoachim Wolff avatar Joachim Wolfforcid logoClemens Blank avatar Clemens BlankDonny Vrins avatar Donny Vrinsorcid logoNate Coraor avatar Nate Coraororcid logoBert Droesbeke avatar Bert Droesbekeorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoMarius van den Beek avatar Marius van den Beekorcid logoPeter van Heusden avatar Peter van HeusdenGoodnews Sandy avatar Goodnews Sandyorcid logoMelanie Föll avatar Melanie Föllorcid logoMarisa Loach avatar Marisa Loachorcid logoWendi Bacon avatar Wendi BaconAnne Pajon avatar Anne Pajonorcid logoNadia Goué avatar Nadia Gouéorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoDaniel Blankenberg avatar Daniel BlankenbergAndrea Bagnacani avatar Andrea BagnacaniMichele Maroni avatar Michele MaroniGareth Price avatar Gareth PriceMélanie Pétéra avatar Mélanie PétéraScott Cain avatar Scott Cainorcid logoPhil Reed avatar Phil Reedorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoDave Clements avatar Dave Clementsorcid logoHelena Rasche avatar Helena RascheWilliam Durand avatar William Durandorcid logoAnup Kumar avatar Anup Kumarorcid logoRenato Alves avatar Renato AlvesYongbin Li avatar Yongbin Liorcid logoTeresa Müller avatar Teresa MüllerCyril Monjeaud avatar Cyril Monjeaudorcid logoMartin Čech avatar Martin Čechorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoAlex Ostrovsky avatar Alex Ostrovsky

Funding

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

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