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Introducing Learning Pathways in the GTN! 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 step by step.
Full StoryThis 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.
The following list includes only slides and tutorials where the individual has been added to the contributor list. This may not include the sum total of their contributions to the training materials (e.g. GTN css or design, tutorial datasets, workflow development, etc.) unless described by a news post.
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Introducing Learning Pathways in the GTN! 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 step by step.
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Numerous other training groups keep βTrainer Directoriesβ as a way to help students meet trainers in their area, especially for hosting workshops for their local community. There have been a handful of attempts at this in the past, both in galaxyproject/galaxy-maps and in a Google Map on the GTN homepage.
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Did you ever wonder which was the number one most used tool in the GTN? There is a new page of Top Tools where we list all of the top tools in the GTN, and which tutorials use them. We guessed βupload1β, but it seems like not every author annotates that step explicitly in their tutorial, and of course it doesnβt appear in the workflows which we also scan to create this tool listing.
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It has been a long discussed feature within the GTN Tutorial Author Community: how can we provide trainees with choice in their tutorials, and how can we as trainers not duplicate large tutorials just to show a slightly different path at one point?
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Further building on the work in the automatic Jupyter Notebook, weβve now re-written the Jupyter export to be faster, and more importantly added support for R and RMarkdown! Check out an example material. Here we take the content of the tutorial, written like normal GTN markdown, and we automatically convert it to Jupyter Notebooks and now RMarkdown documents! Check out the documentation on how to setup your tutorials to support this.
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The Galaxy Training Network will now support annotating Funding Agencies on training materials. This is part of our ongoing effort to better annotate how people are contributing to the GTN and recognise all of the sources of contribution.
Full StoryAs part of our work under the Gallantries Grant we are establishing a new topic within the GTN specifically focused on Data Science skills. This topic will include tutorials covering things such as:
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