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

Before you start: Designing your lessons

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

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.

Advanced GTN Materials writing

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

Contributing through GitHub

How to collaborate with the GTN

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!

Other

Assorted Tutorials

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

Editorial Board

This material is reviewed by our Editorial Board:

Bérénice Batut

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:

Julia Jakiela

William Durand

Achim Winandi

Marie Josse

Nils Mittler

Simon Bray

Saskia Hiltemann

Krzysztof Poterlowicz

Mehmet Tekman

Teresa Müller

Linelle Abueg

Armin Dadras

Marisa Loach

Fotis E. Psomopoulos

Andrea Bagnacani

Anthony Bretaudeau

Dominique Green

Björn Grüning

Marius van den Beek

Anastas Mishev

Donny Vrins

Martin Čech

Lucille Delisle

Phil Reed

Allegra Via

Melissa Burke

Irakleitos Souyioultzoglou

Niall Beard

Wendi Bacon

Pavankumar Videm

Sonja Filiposka

Nicola Soranzo

Christine Hadrossek

Gildas Le Corguillé

Cyril Monjeaud

Carolin Leister

Simon Gladman

Patricia Palagi

Helena Rasche

Cristóbal Gallardo

Аrnaud Gingold

Vojdan Kjorveziroski

Katarzyna Kamieniecka

Bert Droesbeke

Bérénice Batut

Peter van Heusden

Pablo Moreno

Bazante Sanders

Funding

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

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.

Skills4SEOSC

UFR

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.

de.NBI

de.KCD

ELIXIR Europe