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.

Follow topic updates rss-feed with our RSS Feed

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:

Allegra Via

Vojdan Kjorveziroski

Lucille Delisle

Аrnaud Gingold

Achim Winandi

Helena Rasche

Linelle Abueg

Nicola Soranzo

Patricia Palagi

Björn Grüning

Saskia Hiltemann

Cristóbal Gallardo

Carolin Leister

Simon Bray

Bert Droesbeke

Krzysztof Poterlowicz

Christine Hadrossek

Teresa Müller

Marius van den Beek

Wendi Bacon

Nils Mittler

Cyril Monjeaud

Julia Jakiela

Pavankumar Videm

Bérénice Batut

Armin Dadras

Simon Gladman

Peter van Heusden

Marie Josse

William Durand

Bazante Sanders

Phil Reed

Sonja Filiposka

Marisa Loach

Irakleitos Souyioultzoglou

Anastas Mishev

Dominique Green

Niall Beard

Donny Vrins

Fotis E. Psomopoulos

Andrea Bagnacani

Katarzyna Kamieniecka

Pablo Moreno

Martin Čech

Melissa Burke

Mehmet Tekman

Gildas Le Corguillé

Anthony Bretaudeau

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.

ELIXIR Europe

UFR

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.NBI

de.KCD