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 logoJohn Davis avatar John DavisMichele Maroni avatar Michele Maroniorcid logoMartin Čech avatar Martin Čechorcid logoWolfgang Maier avatar Wolfgang Maierorcid logoMarisa Loach avatar Marisa LoachYongbin Li avatar Yongbin Liorcid logoNadia Goué avatar Nadia GouéGoodnews Sandy avatar Goodnews Sandyorcid logoPhil Reed avatar Phil Reedorcid logoMorgan Howells avatar Morgan Howellsorcid logoHans-Rudolf Hotz avatar Hans-Rudolf HotzNiall Beard avatar Niall Beardorcid logoFlorian Heyl avatar Florian Heylorcid logoRenato Alves avatar Renato AlvesDilmurat Yusuf avatar Dilmurat Yusuforcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoLucille Delisle avatar Lucille Delisleorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoMarius van den Beek avatar Marius van den BeekGildas Le Corguillé avatar Gildas Le Corguilléorcid logoTeresa Müller avatar Teresa Müllerorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoClemens Blank avatar Clemens Blankorcid logoMatthias Bernt avatar Matthias BerntSebastian Schaaf avatar Sebastian SchaafOlha Nahorna avatar Olha Nahornaorcid logoDaniel Blankenberg avatar Daniel Blankenbergorcid logoAnna Syme avatar Anna Symeorcid logoDeepti Varshney avatar Deepti Varshneyorcid logoArmin Dadras avatar Armin Dadrasorcid logoPavankumar Videm avatar Pavankumar VidemAnne Pajon avatar Anne Pajonorcid logoYvan Le Bras avatar Yvan Le BrasDavid López avatar David LópezDonny Vrins avatar Donny VrinsWilliam Durand avatar William Durandorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoAhmed Hamid Awan avatar Ahmed Hamid AwanMirela Minkova avatar Mirela Minkovaorcid logoBérénice Batut avatar Bérénice BatutScott Cain avatar Scott Cainorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoBjörn Grüning avatar Björn Grüningorcid logoMaria Doyle avatar Maria DoyleJoachim Wolff avatar Joachim Wolfforcid logoDave Clements avatar Dave Clementsorcid logoHelena Rasche avatar Helena Rascheorcid logoPeter van Heusden avatar Peter van Heusdenorcid logoNate Coraor avatar Nate CoraorSarah Peter avatar Sarah PeterChristopher Barnett avatar Christopher BarnettMehmet Tekman avatar Mehmet TekmanCyril Monjeaud avatar Cyril Monjeaudorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoRand Zoabi avatar Rand Zoabiorcid logoAnup Kumar avatar Anup Kumarorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoMelanie Föll avatar Melanie FöllAndrea Bagnacani avatar Andrea Bagnacaniorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoWendi Bacon avatar Wendi BaconAnton Nekrutenko avatar Anton NekrutenkoMélanie Pétéra avatar Mélanie PétéraGareth Price avatar Gareth PriceAlaa Elghamry avatar Alaa Elghamry

Funding

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

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