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 (slides) and tutorial (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
Principles of learning and how they apply to training and teaching

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
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
Single Cell Publication - Data Plotting

Other

Assorted Tutorials

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

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.

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

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:

Pablo Moreno avatar Pablo Morenoorcid logoChristine Hadrossek avatar Christine HadrossekAndrea Bagnacani avatar Andrea Bagnacaniorcid logoBert Droesbeke avatar Bert DroesbekeGildas Le Corguillé avatar Gildas Le CorguilléPatricia Palagi avatar Patricia Palagiorcid logoBjörn Grüning avatar Björn Grüningorcid logoArmin Dadras avatar Armin Dadrasorcid logoVojdan Kjorveziroski avatar Vojdan Kjorveziroskiorcid logoTeresa Müller avatar Teresa Müllerorcid logoLucille Delisle avatar Lucille Delisleorcid logoKatarzyna Kamieniecka avatar Katarzyna Kamienieckaorcid logoMartin Čech avatar Martin Čechorcid logoMarisa Loach avatar Marisa Loachorcid logoPavankumar Videm avatar Pavankumar Videmorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoMarie Josse avatar Marie JosseDonny Vrins avatar Donny VrinsNiall Beard avatar Niall Beardorcid logoAchim Winandi avatar Achim Winandiorcid logoDominique Green avatar Dominique Greenorcid logoCarolin Leister avatar Carolin Leisterorcid logoIrakleitos Souyioultzoglou avatar Irakleitos Souyioultzoglouorcid logoHelena Rasche avatar Helena Rascheorcid logoLinelle Abueg avatar Linelle Abuegorcid logoPhil Reed avatar Phil Reedorcid logoPeter van Heusden avatar Peter van Heusdenorcid logoKrzysztof Poterlowicz avatar Krzysztof PoterlowiczАrnaud Gingold avatar Аrnaud GingoldCyril Monjeaud avatar Cyril Monjeaudorcid logoFotis E. Psomopoulos avatar Fotis E. PsomopoulosBazante Sanders avatar Bazante Sandersorcid logoBérénice Batut avatar Bérénice Batutorcid logoJulia Jakiela avatar Julia Jakielaorcid logoNicola Soranzo avatar Nicola SoranzoAllegra Via avatar Allegra Viaorcid logoSimon Gladman avatar Simon Gladmanorcid logoSonja Filiposka avatar Sonja FiliposkaMehmet Tekman avatar Mehmet TekmanSimon Bray avatar Simon Brayorcid logoAnastas Mishev avatar Anastas Mishevorcid logoCristóbal Gallardo avatar Cristóbal GallardoNils Mittler avatar Nils Mittlerorcid logoWendi Bacon avatar Wendi Baconorcid logoMarius van den Beek avatar Marius van den BeekWilliam Durand avatar William Durandorcid logoAnthony Bretaudeau avatar Anthony BretaudeauMelissa Burke avatar Melissa Burke

Funding

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