Contributing to the Galaxy Training Material

Galaxy is a great solution to train the bioinformatics concepts: numerous bioinformatics tools are available (more than 7,000 in the ToolShed), it can be used by people without any computer science skills, it trains to use technology, outlining available resources and efforts that have made them accessible to researchers, it is scalable.
In 2016, the Galaxy Training Network decided to set up a new infrastructure for delivering easily Galaxy related training material. The idea was to develop something open and online based on a community effort, as always in Galaxy.

Material

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides () and tutorial () buttons below.

Before you start: Designing your lessons

These tutorials will guide you on the pedagogy to create impactful training material

Lesson Slides Hands-on Recordings
Design and plan session, course, materials
elixir train-the-trainers
Principles of learning and how they apply to training and teaching
elixir train-the-trainers

Getting Started with the GTN

These tutorials will get you started with the basics needed to contribute to the GTN. First we will show you how you can build the GTN website on GitPod or locally, and then the basics of creating tutorials and slides.

Lesson Slides Hands-on Recordings
Preview the GTN website as you edit your training material
Choose your own Adventure GitPod CodeSpaces Command-line
Creating a new tutorial
Creating content in Markdown
Creating Slides
Updating tool versions in a tutorial

Advanced GTN Materials writing

Tutorials showing you how to use some advanced GTN features in your training materials.

Lesson Slides Hands-on Recordings
Adding auto-generated video to your slides
Including a new topic
Teaching Python
Tools, Data, and Workflows for tutorials

Contributing through GitHub

How to collaborate with the GTN

Lesson Slides Hands-on Recordings
Contributing to the Galaxy Training Network with GitHub
Contributing with GitHub via its interface

Analyses using GTN data

Over the years publications about the GTN and GTN communities have been published, and used GTN (meta)data to do it. These tutorials will show you how to leverage some of the data already contained within the GTN, but beware, they generally require programming skills!

Lesson Slides Hands-on Recordings
Single Cell Publication - Data Analysis
Ruby
Single Cell Publication - Data Plotting
R rmarkdown-notebook jupyter-notebook

Other

Assorted Tutorials

Lesson Slides Hands-on Recordings
Adding Quizzes to your Tutorial
Creating Interactive Galaxy Tours
GTN Metadata
Generating PDF artefacts of the website
Overview of the Galaxy Training Material
Updating diffs in admin training
FAIR Galaxy Training Material
fair gtn training

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

Community Home Maintainer Home

Editorial Board

This material is reviewed by our Editorial Board:

orcid logoBérénice Batut avatar Bérénice Batutorcid logoBjörn Grüning avatar Björn Grüning

Contributors

This material was contributed to by:

orcid logoSaskia Hiltemann avatar Saskia HiltemannDonny Vrins avatar Donny VrinsGildas Le Corguillé avatar Gildas Le Corguilléorcid logoCarolin Leister avatar Carolin LeisterMarius van den Beek avatar Marius van den BeekMehmet Tekman avatar Mehmet Tekmanorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoChristine Hadrossek avatar Christine Hadrossekorcid logoBérénice Batut avatar Bérénice Batutorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoFotis E. Psomopoulos avatar Fotis E. Psomopoulosorcid logoHelena Rasche avatar Helena Rascheorcid logoSonja Filiposka avatar Sonja FiliposkaАrnaud Gingold avatar Аrnaud Gingoldorcid logoAnthony Bretaudeau avatar Anthony BretaudeauBazante Sanders avatar Bazante Sandersorcid logoAnastas Mishev avatar Anastas MishevTeresa Müller avatar Teresa Müllerorcid logoDominique Green avatar Dominique Greenorcid logoIrakleitos Souyioultzoglou avatar Irakleitos Souyioultzoglouorcid logoMarisa Loach avatar Marisa Loachorcid logoAchim Winandi avatar Achim WinandiWilliam Durand avatar William Durandorcid logoBjörn Grüning avatar Björn Grüningorcid logoWendi Bacon avatar Wendi Baconorcid logoJulia Jakiela avatar Julia JakielaMelissa Burke avatar Melissa Burkeorcid logoSimon Gladman avatar Simon GladmanAndrea Bagnacani avatar Andrea Bagnacaniorcid logoPeter van Heusden avatar Peter van Heusdenorcid logoPhil Reed avatar Phil ReedPatricia Palagi avatar Patricia Palagiorcid logoNicola Soranzo avatar Nicola Soranzoorcid logoVojdan Kjorveziroski avatar Vojdan KjorveziroskiSimon Bray avatar Simon BrayPablo Moreno avatar Pablo MorenoAllegra Via avatar Allegra Viaorcid logoMartin Čech avatar Martin Čechorcid logoLinelle Abueg avatar Linelle Abuegorcid logoKatarzyna Kamieniecka avatar Katarzyna Kamienieckaorcid logoKrzysztof Poterlowicz avatar Krzysztof PoterlowiczCyril Monjeaud avatar Cyril Monjeaudorcid logoLucille Delisle avatar Lucille DelisleNiall Beard avatar Niall Beard

Funding

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

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Skills4SEOSC
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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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DASH UK
This Fellowship was funded through the ELIXIR-UK DaSH project as part of the UKRI Innovation Scholars: Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1). The project aims to embed Research Data Management (RDM) know-how into UK universities and institutes by producing and delivering training in FAIR data stewardship using ELIXIR-UK knowledge and resources.