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Related resources: Introduction to Galaxy dataset  or Contributing to the Galaxy ... 


Contributing to the Galaxy Training Material - Contributing with GitHub via command-line

Galaxy is a great solution to train the bioinformatics concepts: numerous bioinformatics tools are available (almost 5,000 in the ToolShed), it can be used by people without amy computer science skills, it trains to use technology, outlining available resources and efforts that have made them...

Resource type: Tutorial

Contributing to the Galaxy Training Material - Contributing with GitHub via command-line http://tess.elixir-uk.org/materials/contributing-to-the-galaxy-training-material-contributing-with-github-via-command-line Galaxy is a great solution to train the bioinformatics concepts: numerous bioinformatics tools are available (almost 5,000 in the ToolShed), it can be used by people without amy 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 decide 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. Questions of the tutorial: - How can I contribute to an open-source project with GitHub? - What is the GitHub flow? Objectives of the tutorial: - Fork a repository on GitHub - Clone a remote repository locally - Create a branch - Commit changes - Push changes to a remote repository - Create a pull request - Update a pull request
Introduction to Galaxy Analyses - From peaks to genes

Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to use Galaxy? - How to get...

Resource type: Tutorial

Introduction to Galaxy Analyses - From peaks to genes http://tess.elixir-uk.org/materials/galaxy-introduction-from-peaks-to-genes Galaxy is a scientific workflow, data integration, and data and analysis persistence and publishing platform that aims to make computational biology accessible to research scientists that do not have computer programming experience. Questions of the tutorial: - How to use Galaxy? - How to get from peak regions to a list of gene names? Objectives of the tutorial: - Familiarize yourself with the basics of Galaxy - Learn how to obtain data from external sources - Learn how to run tools - Learn how histories work - Learn how to create a workflow - Learn how to share your work