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:

Goodnews Sandy avatar Goodnews Sandyorcid logoJohn Davis avatar John Davisorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoBérénice Batut avatar Bérénice Batutorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoNate Coraor avatar Nate CoraorNiall Beard avatar Niall BeardAlaa Elghamry avatar Alaa ElghamryDilmurat Yusuf avatar Dilmurat Yusuforcid logoPhil Reed avatar Phil Reedorcid logoNadia Goué avatar Nadia Gouéorcid logoDave Clements avatar Dave Clementsorcid logoDaniel Blankenberg avatar Daniel Blankenbergorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoBjörn Grüning avatar Björn Grüningorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-JacksonMélanie Pétéra avatar Mélanie Pétéraorcid logoWolfgang Maier avatar Wolfgang Maierorcid logoRenato Alves avatar Renato Alvesorcid logoArmin Dadras avatar Armin Dadrasorcid logoMatthias Bernt avatar Matthias Berntorcid logoMaria Doyle avatar Maria Doyleorcid logoMelanie Föll avatar Melanie Föllorcid logoAnup Kumar avatar Anup KumarOlha Nahorna avatar Olha Nahornaorcid logoMarius van den Beek avatar Marius van den Beekorcid logoMarisa Loach avatar Marisa LoachJoachim Wolff avatar Joachim Wolfforcid logoWendi Bacon avatar Wendi BaconCyril Monjeaud avatar Cyril Monjeaudorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoHelena Rasche avatar Helena Rascheorcid logoClemens Blank avatar Clemens BlankAnne Pajon avatar Anne PajonAnton Nekrutenko avatar Anton NekrutenkoChristopher Barnett avatar Christopher Barnettorcid logoDaniela Schneider avatar Daniela SchneiderScott Cain avatar Scott Cainorcid logoDeepti Varshney avatar Deepti VarshneyMirela Minkova avatar Mirela MinkovaAndrea Bagnacani avatar Andrea BagnacaniYongbin Li avatar Yongbin Liorcid logoFlorian Heyl avatar Florian Heylorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoMorgan Howells avatar Morgan HowellsDavid López avatar David LópezDonny Vrins avatar Donny Vrinsorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoAnna Syme avatar Anna SymeSarah Peter avatar Sarah Peterorcid logoYvan Le Bras avatar Yvan Le BrasGildas Le Corguillé avatar Gildas Le CorguilléSebastian Schaaf avatar Sebastian Schaaforcid logoLucille Delisle avatar Lucille DelisleMehmet Tekman avatar Mehmet Tekmanorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoRand Zoabi avatar Rand ZoabiMichele Maroni avatar Michele Maroniorcid logoMartin Čech avatar Martin Čechorcid logoPeter van Heusden avatar Peter van HeusdenWilliam Durand avatar William Durandorcid logoTeresa Müller avatar Teresa MüllerGareth Price avatar Gareth Priceorcid logoAhmed Hamid Awan avatar Ahmed Hamid Awan

Funding

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

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