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:

Melissa Burke

Donny Vrins

Vojdan Kjorveziroski

Simon Gladman

Wendi Bacon

Phil Reed

Björn Grüning

Nicola Soranzo

Pavankumar Videm

Pablo Moreno

Katarzyna Kamieniecka

Martin Čech

Julia Jakiela

Anthony Bretaudeau

Marisa Loach

Marie Josse

Achim Winandi

Allegra Via

Bert Droesbeke

Niall Beard

Sonja Filiposka

Carolin Leister

Irakleitos Souyioultzoglou

Andrea Bagnacani

Krzysztof Poterlowicz

Dominique Green

Cristóbal Gallardo

Anastas Mishev

Fotis E. Psomopoulos

Bérénice Batut

Christine Hadrossek

Marius van den Beek

Peter van Heusden

Simon Bray

Nils Mittler

Cyril Monjeaud

Lucille Delisle

Armin Dadras

Mehmet Tekman

Saskia Hiltemann

Linelle Abueg

Bazante Sanders

Patricia Palagi

Teresa Müller

Helena Rasche

William Durand

Аrnaud Gingold

Gildas Le Corguillé

Funding

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

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.

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

UFR

de.NBI

de.KCD