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:

Cyril Monjeaud

Wendi Bacon

Mehmet Tekman

Christine Hadrossek

Katarzyna Kamieniecka

Pablo Moreno

Krzysztof Poterlowicz

Marisa Loach

Patricia Palagi

Nicola Soranzo

Andrea Bagnacani

Cristóbal Gallardo

Björn Grüning

Martin Čech

Melissa Burke

Bérénice Batut

Bazante Sanders

Vojdan Kjorveziroski

Simon Gladman

Helena Rasche

Simon Bray

William Durand

Fotis E. Psomopoulos

Achim Winandi

Peter van Heusden

Irakleitos Souyioultzoglou

Niall Beard

Phil Reed

Armin Dadras

Allegra Via

Linelle Abueg

Marius van den Beek

Saskia Hiltemann

Anthony Bretaudeau

Аrnaud Gingold

Donny Vrins

Dominique Green

Teresa Müller

Julia Jakiela

Bert Droesbeke

Sonja Filiposka

Nils Mittler

Lucille Delisle

Anastas Mishev

Carolin Leister

Gildas Le Corguillé

Marie Josse

Pavankumar Videm

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.

UFR

de.NBI

ELIXIR Europe

Skills4SEOSC

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.KCD