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.

Follow topic updates with our RSS Feed

Community Resources

Community Home Maintainer Home

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 logoCristóbal Gallardo avatar Cristóbal GallardoChristopher Barnett avatar Christopher Barnettorcid logoBjörn Grüning avatar Björn GrüningAlaa Elghamry avatar Alaa Elghamryorcid logoAhmed Hamid Awan avatar Ahmed Hamid Awanorcid logoMarisa Loach avatar Marisa Loachorcid logoMorgan Howells avatar Morgan Howellsorcid logoWolfgang Maier avatar Wolfgang Maierorcid logoDave Clements avatar Dave Clementsorcid logoMarius van den Beek avatar Marius van den BeekJoachim Wolff avatar Joachim Wolfforcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoLucille Delisle avatar Lucille Delisleorcid logoNicola Soranzo avatar Nicola SoranzoSarah Peter avatar Sarah PeterGoodnews Sandy avatar Goodnews SandyWilliam Durand avatar William DurandScott Cain avatar Scott CainSebastian Schaaf avatar Sebastian Schaaforcid logoMatthias Bernt avatar Matthias Berntorcid logoArmin Dadras avatar Armin Dadrasorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoRand Zoabi avatar Rand Zoabiorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-SolanoAnton Nekrutenko avatar Anton Nekrutenkoorcid logoWendi Bacon avatar Wendi Baconorcid logoJohn Davis avatar John Davisorcid logoHans-Rudolf Hotz avatar Hans-Rudolf Hotzorcid logoDaniel Blankenberg avatar Daniel BlankenbergYongbin Li avatar Yongbin LiCyril Monjeaud avatar Cyril MonjeaudDavid López avatar David Lópezorcid logoAnna Syme avatar Anna Symeorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoBérénice Batut avatar Bérénice Batutorcid logoRenato Alves avatar Renato Alvesorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-JacksonMirela Minkova avatar Mirela MinkovaAndrea Bagnacani avatar Andrea Bagnacaniorcid logoNadia Goué avatar Nadia Gouéorcid logoHelena Rasche avatar Helena Rascheorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoTristan Reynolds avatar Tristan ReynoldsDilmurat Yusuf avatar Dilmurat Yusuforcid logoAnup Kumar avatar Anup Kumarorcid logoDeepti Varshney avatar Deepti Varshneyorcid logoClemens Blank avatar Clemens Blankorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoMaria Doyle avatar Maria Doyleorcid logoPavankumar Videm avatar Pavankumar VidemOlha Nahorna avatar Olha NahornaMehmet Tekman avatar Mehmet TekmanNiall Beard avatar Niall BeardDonny Vrins avatar Donny Vrinsorcid logoMelanie Föll avatar Melanie Föllorcid logoTeresa Müller avatar Teresa Müllerorcid logoPeter van Heusden avatar Peter van Heusdenorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoNate Coraor avatar Nate CoraorGareth Price avatar Gareth PriceGildas Le Corguillé avatar Gildas Le Corguilléorcid logoPhil Reed avatar Phil ReedAnne Pajon avatar Anne PajonMichele Maroni avatar Michele MaroniMélanie Pétéra avatar Mélanie Pétéraorcid logoFlorian Heyl avatar Florian Heylorcid logoMartin Čech avatar Martin Čechorcid logoAnthony Bretaudeau avatar Anthony Bretaudeau

Funding

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

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