---
name: "contributing"
type: "instructors"
title: "Contributing to the Galaxy Training Material"
summary: "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.<br>
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."
requirements:
docker_image: "quay.io/galaxy/contributing-training"

subtopics:
  - id: pedagogy
    title: "Before you start: Designing your lessons"
    description: "These tutorials will guide you on the pedagogy to create impactful training material"
  - id: getting-started
    title: "Getting Started with the GTN"
    description: "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."
  - id: writing
    title: "Advanced GTN Materials writing"
    description: "Tutorials showing you how to use some advanced GTN features in your training materials."
  - id: contribute
    title: "Contributing through GitHub"
    description: "How to collaborate with the GTN"
  - id: meta
    title: "Analyses using GTN data"
    description: |
      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!

editorial_board:
  - bebatut
  - bgruening