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

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides (slides) and tutorial (tutorial) buttons below.

Before you start: Designing your lessons

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

Lesson Slides Hands-on Recordings
Design and plan session, course, materials
Principles of learning and how they apply to training and teaching

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.

Lesson Slides Hands-on Recordings
Preview the GTN website as you edit your training material
Creating a new tutorial
Creating content in Markdown
Creating Slides
Updating tool versions in a tutorial

Advanced GTN Materials writing

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

Lesson Slides Hands-on Recordings
Adding auto-generated video to your slides
Including a new topic
Teaching Python
Tools, Data, and Workflows for tutorials

Contributing through GitHub

How to collaborate with the GTN

Lesson Slides Hands-on Recordings
Contributing to the Galaxy Training Network with GitHub
Contributing with GitHub via its interface

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!

Lesson Slides Hands-on Recordings
Single Cell Publication - Data Analysis
Single Cell Publication - Data Plotting

Other

Assorted Tutorials

Lesson Slides Hands-on Recordings
Overview of the Galaxy Training Material
FAIR Galaxy Training Material
Adding Quizzes to your Tutorial
Creating Interactive Galaxy Tours
GTN Metadata
Generating PDF artefacts of the website
Updating diffs in admin training

Learning Pathways

Or have a look at one of our learning pathways involving this topic. Learning pathways are sets of tutorials curated for you by community experts to form a coherent set of lessons around a topic, building up knowledge as you go. We always recommend to follow the tutorials in the order they are listed in the pathway.

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

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Editorial Board

This material is reviewed by our Editorial Board:

orcid logoBérénice Batut avatar Bérénice Batutorcid logoBjörn Grüning avatar 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:

Andrea Bagnacani avatar Andrea Bagnacaniorcid logoPhil Reed avatar Phil Reedorcid logoAnastas Mishev avatar Anastas Mishevorcid logoPeter van Heusden avatar Peter van HeusdenSimon Bray avatar Simon Brayorcid logoBérénice Batut avatar Bérénice Batutorcid logoKhaled Jum'ah avatar Khaled Jum'ahPatricia Palagi avatar Patricia Palagiorcid logoLinelle Abueg avatar Linelle Abuegorcid logoLucille Delisle avatar Lucille Delisleorcid logoSonja Filiposka avatar Sonja Filiposkaorcid logoTeresa Müller avatar Teresa MüllerDonny Vrins avatar Donny VrinsNiall Beard avatar Niall BeardAllegra Via avatar Allegra ViaMelissa Burke avatar Melissa Burkeorcid logoAnthony Bretaudeau avatar Anthony Bretaudeauorcid logoAchim Winandi avatar Achim Winandiorcid logoCristóbal Gallardo avatar Cristóbal Gallardoorcid logoMarisa Loach avatar Marisa LoachBazante Sanders avatar Bazante Sandersorcid logoArmin Dadras avatar Armin DadrasАrnaud Gingold avatar Аrnaud Gingoldorcid logoSaskia Hiltemann avatar Saskia Hiltemannorcid logoMarie Josse avatar Marie Josseorcid logoAmirhossein Naghsh Nilchi avatar Amirhossein Naghsh Nilchiorcid logoMartin Čech avatar Martin Čechorcid logoWendi Bacon avatar Wendi Baconorcid logoSimon Gladman avatar Simon Gladmanorcid logoFotis E. Psomopoulos avatar Fotis E. PsomopoulosMehmet Tekman avatar Mehmet Tekmanorcid logoIrakleitos Souyioultzoglou avatar Irakleitos Souyioultzoglouorcid logoChristine Hadrossek avatar Christine HadrossekWilliam Durand avatar William Durandorcid logoVojdan Kjorveziroski avatar Vojdan KjorveziroskiNils Mittler avatar Nils Mittlerorcid logoKrzysztof Poterlowicz avatar Krzysztof Poterlowiczorcid logoBert Droesbeke avatar Bert Droesbekeorcid logoBjörn Grüning avatar Björn Grüningorcid logoMarius van den Beek avatar Marius van den Beekorcid logoCarolin Leister avatar Carolin Leisterorcid logoHelena Rasche avatar Helena Rascheorcid logoNicola Soranzo avatar Nicola SoranzoGildas Le Corguillé avatar Gildas Le CorguilléPablo Moreno avatar Pablo Morenoorcid logoPavankumar Videm avatar Pavankumar VidemCyril Monjeaud avatar Cyril Monjeaudorcid logoDominique Green avatar Dominique Greenorcid logoKatarzyna Kamieniecka avatar Katarzyna Kamienieckaorcid logoJulia Jakiela avatar Julia Jakiela

Funding

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