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 logoFlorian Heyl avatar Florian Heylorcid logoAnthony Bretaudeau avatar Anthony BretaudeauAndrea Bagnacani avatar Andrea BagnacaniAnne Pajon avatar Anne Pajonorcid logoDaniel Blankenberg avatar Daniel BlankenbergMélanie Pétéra avatar Mélanie Pétéraorcid logoBérénice Batut avatar Bérénice Batutorcid logoNate Coraor avatar Nate Coraororcid logoNicola Soranzo avatar Nicola Soranzoorcid logoRenato Alves avatar Renato Alvesorcid logoDaniela Schneider avatar Daniela Schneiderorcid logoHans-Rudolf Hotz avatar Hans-Rudolf HotzSebastian Schaaf avatar Sebastian Schaaforcid logoJohn Davis avatar John DavisAnton Nekrutenko avatar Anton Nekrutenkoorcid logoWendi Bacon avatar Wendi Baconorcid logoDeepti Varshney avatar Deepti Varshneyorcid logoPhil Reed avatar Phil Reedorcid logoJennifer Hillman-Jackson avatar Jennifer Hillman-Jacksonorcid logoArmin Dadras avatar Armin Dadrasorcid logoBjörn Grüning avatar Björn Grüningorcid logoMaria Doyle avatar Maria Doyleorcid logoMorgan Howells avatar Morgan HowellsDilmurat Yusuf avatar Dilmurat Yusuforcid logoMatthias Bernt avatar Matthias Berntorcid logoPeter van Heusden avatar Peter van Heusdenorcid logoNadia Goué avatar Nadia Gouéorcid logoAnne Fouilloux avatar Anne Fouillouxorcid logoMelanie Föll avatar Melanie FöllNiall Beard avatar Niall Beardorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoYvan Le Bras avatar Yvan Le Brasorcid logoAlex Ostrovsky avatar Alex Ostrovskyorcid logoAhmed Hamid Awan avatar Ahmed Hamid Awanorcid logoBeatriz Serrano-Solano avatar Beatriz Serrano-Solanoorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoRand Zoabi avatar Rand Zoabiorcid logoAnup Kumar avatar Anup KumarDonny Vrins avatar Donny VrinsGoodnews Sandy avatar Goodnews SandyGareth Price avatar Gareth PriceScott Cain avatar Scott CainAlaa Elghamry avatar Alaa Elghamryorcid logoWolfgang Maier avatar Wolfgang MaierSarah Peter avatar Sarah Peterorcid logoClemens Blank avatar Clemens Blankorcid logoHelena Rasche avatar Helena Rascheorcid logoTristan Reynolds avatar Tristan Reynoldsorcid logoMarisa Loach avatar Marisa LoachCyril Monjeaud avatar Cyril MonjeaudChristopher Barnett avatar Christopher BarnettMichele Maroni avatar Michele Maroniorcid logoPavankumar Videm avatar Pavankumar VidemJoachim Wolff avatar Joachim Wolfforcid logoLucille Delisle avatar Lucille DelisleOlha Nahorna avatar Olha Nahornaorcid logoSaskia Hiltemann avatar Saskia HiltemannDavid López avatar David Lópezorcid logoMarius van den Beek avatar Marius van den BeekWilliam Durand avatar William DurandGildas Le Corguillé avatar Gildas Le Corguilléorcid logoTeresa Müller avatar Teresa MüllerMirela Minkova avatar Mirela Minkovaorcid logoMartin Čech avatar Martin Čechorcid logoDave Clements avatar Dave ClementsMehmet Tekman avatar Mehmet TekmanYongbin Li avatar Yongbin Liorcid logoAnna Syme avatar Anna Syme

Funding

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

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