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 () and tutorial () buttons below.

Pedagogical aspects

These 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

Writing Tutorials in GTN

These will take you from zero to hero in writing Galaxy Training Materials.

Lesson Slides Hands-on Recordings
Adding auto-generated video to your slides
Creating Slides
Creating a new tutorial
Creating content in Markdown
Running the GTN website locally
Running the GTN website online using GitPod
Teaching Python
Tools, Data, and Workflows for tutorials

Contributing through GitHub

How to collaborate with the GTN

Lesson Slides Hands-on Recordings
Contributing with GitHub via command-line
Contributing with GitHub via its interface

Other

Assorted Tutorials

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

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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Editorial Board

This material is reviewed by our Editorial Board:

orcid logoBérénice Batut avatar Bérénice Batutorcid logoBjörn Grüning avatar Björn Grüning

Contributors

This material was contributed to by:

orcid logoFotis E. Psomopoulos avatar Fotis E. Psomopoulosorcid logoLucille Delisle avatar Lucille Delisleorcid logoCristóbal Gallardo avatar Cristóbal GallardoBazante Sanders avatar Bazante Sandersorcid logoKrzysztof Poterlowicz avatar Krzysztof Poterlowiczorcid logoHelena Rasche avatar Helena Rascheorcid logoSaskia Hiltemann avatar Saskia HiltemannCyril Monjeaud avatar Cyril Monjeaudorcid logoBjörn Grüning avatar Björn GrüningPatricia Palagi avatar Patricia Palagiorcid logoKatarzyna Kamieniecka avatar Katarzyna KamienieckaAllegra Via avatar Allegra ViaELIXIR Goblet Train the Trainers avatar ELIXIR Goblet Train the TrainersDonny Vrins avatar Donny Vrinsorcid logoBérénice Batut avatar Bérénice Batut

Funding

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

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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.
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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.