Erasmus+ Programme
Favourite Topics
Favourite Formats
Contributions
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.
Tutorials
- Foundations of Data Science / Advanced Python
- Foundations of Data Science / dplyr & tidyverse for data processing
- Foundations of Data Science / CLI basics
- Foundations of Data Science / SQL Educational Game - Murder Mystery
- Foundations of Data Science / Plotting in Python
- Foundations of Data Science / CLI Educational Game - Bashcrawl
- Foundations of Data Science / R basics in Galaxy 💵
- Foundations of Data Science / Advanced CLI in Galaxy
- Foundations of Data Science / Advanced R in Galaxy
- Foundations of Data Science / Introduction to Python
- Using Galaxy and Managing your Data / Workflow Reports 💵
- Using Galaxy and Managing your Data / RStudio in Galaxy
- Statistics and machine learning / Introduction to Machine Learning using R
- Genome Annotation / Genome annotation with Funannotate
- Genome Annotation / Refining Genome Annotations with Apollo
- Genome Annotation / Masking repeats with RepeatMasker
- Assembly / Genome assembly using PacBio data
- Transcriptomics / RNA Seq Counts to Viz in R
- Sequence analysis / Quality Control
- Visualisation / Genomic Data Visualisation with JBrowse
Slides
- Genome Annotation / Refining Genome Annotations with Apollo
- Assembly / An introduction to get started in genome assembly and annotation 💵
- Sequence analysis / Mapping
- Sequence analysis / Quality Control
- Visualisation / Circos
News
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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| Author(s) |
 Helena Rasche
|
Further building on the work in the automatic Jupyter Notebook, we’ve 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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| Author(s) |
Helena Rasche
|
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.
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Saskia Hiltemann
Bérénice Batut
Anthony Bretaudeau
Yvan Le Bras
Fotis E. Psomopoulos
The CarpentriesAs 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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