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:

William Durand

Patricia Palagi

Julia Jakiela

Dominique Green

Simon Bray

Irakleitos Souyioultzoglou

Simon Gladman

Mehmet Tekman

Katarzyna Kamieniecka

Peter van Heusden

Teresa Müller

Melissa Burke

Vojdan Kjorveziroski

Wendi Bacon

Sonja Filiposka

Gildas Le Corguillé

Niall Beard

Björn Grüning

Allegra Via

Fotis E. Psomopoulos

Linelle Abueg

Achim Winandi

Carolin Leister

Cyril Monjeaud

Anastas Mishev

Marie Josse

Pavankumar Videm

Lucille Delisle

Saskia Hiltemann

Bazante Sanders

Anthony Bretaudeau

Armin Dadras

Phil Reed

Donny Vrins

Bérénice Batut

Martin Čech

Cristóbal Gallardo

Pablo Moreno

Nils Mittler

Christine Hadrossek

Helena Rasche

Andrea Bagnacani

Marisa Loach

Nicola Soranzo

Bert Droesbeke

Krzysztof Poterlowicz

Аrnaud Gingold

Marius van den Beek

Funding

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

de.NBI

UFR

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

ELIXIR Europe

de.KCD

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.