Gallantries: Bridging Training Communities in Life Science, Environment and Health
Members
These GTN contributors have noted that they are affiliated in some way with this organisation. This list is non-exhaustive, and randomly ordered.
Former Members
These individuals have noted that they previously were affiliated in some way with this organisation. This list is non-exhaustive.
Contributions
The following list includes only slides and tutorials where the individual or organisation 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.
59 Tutorials
- Using Galaxy and Managing your Data / Workflow Reports π΅
- Using Galaxy and Managing your Data / RStudio in Galaxy π΅
- Visualisation / Genomic Data Visualisation with JBrowse π΅
- Visualisation / Visualisation with Circos π΅
- Visualisation / Ploting a Microbial Genome with Circos π΅
- Galaxy Community Building / Make your tools available on your subdomain π΅
- Assembly / Genome assembly using PacBio data π΅
- Introduction to Galaxy Analyses / Data Manipulation Olympics π΅
- Foundations of Data Science / Advanced Python π΅
- Foundations of Data Science / Introduction to Python π΅
- Foundations of Data Science / SQL Educational Game - Murder Mystery π΅
- Foundations of Data Science / Data Manipulation Olympics - SQL π΅
- Foundations of Data Science / Version Control with Git π΅
- Foundations of Data Science / Variant Calling Workflow π΅
- Foundations of Data Science / Advanced CLI in Galaxy π΅
- Foundations of Data Science / Plotting in Python π΅
- Foundations of Data Science / Advanced R in Galaxy π΅
- Foundations of Data Science / Data visualisation Olympics - Visualization in R π΅
- Foundations of Data Science / dplyr & tidyverse for data processing π΅
- Foundations of Data Science / CLI Educational Game - Bashcrawl π΅
- Foundations of Data Science / CLI basics π΅
- Foundations of Data Science / Data Manipulation Olympics - JQ π΅
- Foundations of Data Science / R basics in Galaxy π΅
- Statistics and Machine Learning / Introduction to Machine Learning using R π΅
- Contributing to the Galaxy Training Material / Design and plan session, course, materials π΅
- Contributing to the Galaxy Training Material / Creating content in Markdown π΅
- Contributing to the Galaxy Training Material / Principles of learning and how they apply to training and teaching π΅
- Galaxy Server Administration / Create a subdomain for your community on UseGalaxy.eu π΅
- Teaching and Hosting Galaxy Training / Teaching online π΅
- Teaching and Hosting Galaxy Training / Training techniques to enhance learner participation and engagement π΅
- Teaching and Hosting Galaxy Training / Train-the-Trainer: putting it all together π΅
- Teaching and Hosting Galaxy Training / Course Builder π΅
- Teaching and Hosting Galaxy Training / Assessment and feedback in training and teachings π΅
- Teaching and Hosting Galaxy Training / Hybrid training π΅
- Teaching and Hosting Galaxy Training / Asynchronous training π΅
- Teaching and Hosting Galaxy Training / Motivation and Demotivation π΅
- Ecology / Compute and analyze biodiversity metrics with PAMPA toolsuite π΅
- Ecology / Visualize EBV cube data with Panoply netCDF viewer π΅
- Ecology / QGIS Web Feature Services π΅
- Ecology / Obis marine indicators π΅
- Ecology / Biodiversity data exploration π΅
- Ecology / Metabarcoding/eDNA through Obitools π΅
- Genome Annotation / Genome annotation with Funannotate π΅
- Genome Annotation / Refining Genome Annotations with Apollo (eukaryotes) π΅
- Genome Annotation / Functional annotation of protein sequences π΅
- Genome Annotation / Refining Genome Annotations with Apollo (prokaryotes) π΅
- Genome Annotation / Masking repeats with RepeatMasker π΅
- Genome Annotation / Creating an Official Gene Set π΅
- Earth Data Science / Getting your hands-on earth data π΅
- Transcriptomics / RNA Seq Counts to Viz in R π΅
- Transcriptomics / RNA-seq Alignment with STAR π΅
- Microbiome / Identification of the micro-organisms in a beer using Nanopore sequencing π΅
- Microbiome / Assembly of metagenomic sequencing data π΅
- Microbiome / Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition π΅
- Microbiome / Taxonomic Profiling and Visualization of Metagenomic Data π΅
- Sequence Analysis / Quality Control π΅
- Sequence Analysis / QualitΓ€tskontrolle π΅
- Sequence Analysis / Control de calidad π΅
- Sequence Analysis / Controllo qualitΓ π΅
6 Slides
- Visualisation / Circos π΅
- Assembly / Genome assembly and assembly QC - Introduction short version π΅
- Assembly / An introduction to get started in genome assembly and annotation π΅
- Genome Annotation / Refining Genome Annotations with Apollo π΅
- Sequence Analysis / Mapping π΅
- Sequence Analysis / Quality Control π΅
14 Learning Pathways
- Genome annotation for eukaryotes π΅
- Genome annotation for prokaryotes π΅
- Introduction to Galaxy and Ecological data analysis π΅
- Introduction to Galaxy and Sequence analysis π΅
- From R to Machine Learning; an introductory course π΅
- Introduction to data analysis and -management, statistics, and coding π΅
- Large-scale data analysis, and introduction to visualisation and data modelling π΅
- Data stewardship, federation, standardisation, and collaboration π΅
- Data analysis and modelling for evidence and hypothesis generation and knowledge discovery π΅
- Train-the-Trainer and mentoring programme π΅
- Metagenomics data processing and analysis for microbiome π΅
- Introductory Python π΅
- Introductory SQL π΅
- Train the Trainers π΅
1 Event
News
New Feature: Automatic RMarkdown
What are the most used tools in the GTN?
New Feature: Trainer Directory! (Add yourself today!)
GTN Video Library 2.0: 107 hours of learning across 154 videos
External Links
Website: https://www.erasmusplus.nlFunding information
Funding body: Erasmus+ Programme
Grant ID:
2020-1-NL01-KA203-064717
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