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Identifier Type Title Topic Level Length
GTN:N00089 News GTN Video Library 2.0: 107 hours of learning across 154 videos
gtncontributingteachingcommunity
GTN:N00075 News New Learning Pathway for FAIR Data Management developed by ELIXIR-UK Data Stewardship Fellows and Experts
fairdmpdata stewardshipdata managementnew learning pathway
GTN:N00073 News Lost in a topic? Try a Learning Pathway!
gtn infrastructurenew feature
GTN:N00047 News New Feature: Learning Pathways!
new featurecontributing
GTN:F00189 FAQs Running Ansible on your remote machine
 Galaxy Server administration
GTN:F00084 FAQs Learning with RMarkdown in RStudio
 Galaxy FAQ
TBA Slides Introduction to Synthetic Biology
 Synthetic Biology
TBA Slides Galaxy from a developer point of view
 Development in Galaxy
TBA Slides Introduction to Muon Spectroscopy
 Materials Science
GTN:F00213 FAQs Defining a Learning Pathway
 Contributing to the Galaxy Training Material
TBA FAQs How do I manage my Galaxy storage?
 Galaxy FAQ
TBA FAQs How do I manage my repositories on Galaxy?
 Galaxy FAQ
GTN:F00358 FAQs Preparing materials for asynchronous learning: CYOA
 Contributing to the Galaxy Training Material
GTN:F00359 FAQs Preparing materials for asynchronous learning: FAQs
 Contributing to the Galaxy Training Material
GTN:F00360 FAQs Preparing materials for asynchronous learning: Self-Study
 Contributing to the Galaxy Training Material
GTN:F00361 FAQs Preparing materials for asynchronous learning: Tips
 Contributing to the Galaxy Training Material
GTN:S00137 Slides Regression in Machine Learning
 Statistics and machine learning
GTN:S00136 Slides Introduction to Machine learning
 Statistics and machine learning
GTN:S00132 Slides Foundational Aspects of Machine Learning
elixirai-ml		 Statistics and machine learning
GTN:S00129 Slides Deep Learning (without Generative Artificial Intelligence) using Python
elixirai-ml		 Statistics and machine learning
GTN:S00089 Slides Feedforward neural networks (FNN) Deep Learning - Part 1
 Statistics and machine learning
GTN:S00134 Slides Classification in Machine Learning
 Statistics and machine learning
GTN:S00088 Slides Convolutional neural networks (CNN) Deep Learning - Part 3
 Statistics and machine learning
GTN:S00090 Slides Recurrent neural networks (RNN) Deep Learning - Part 2
 Statistics and machine learning
TBA Slides Lorum Ipsum
testpagelanguage		 Introductory 42M
TBA Slides Introducción al análisis de datos de scRNA-seq
single-cell		 Single Cell 30m
TBA Slides Una breve introducción a Galaxy
 Introduction to Galaxy Analyses
TBA Slides Lorum Ipsum
testpagelanguage		 Introductory 42M
TBA Slides Una introducción al análisis de datos scRNA-seq
single-cell		 Single Cell Intermediate 30m
TBA Slides Una Breve Introducción a Galaxy
 Introduction to Galaxy Analyses
TBA Slides Lorum Ipsum
testpagelanguage		 Introductory 42M
TBA Slides Lorum Ipsum
testpagelanguage		 Intermediate 42M
TBA Hands-on Setting up a dev Onedata instance
storage		 Development in Galaxy Introductory 20m
GTN:T00067 Hands-on Principles of learning and how they apply to training and teaching
elixirtrain-the-trainers		 Contributing to the Galaxy Training Material 2h
TBA Hands-on Preview the GTN website as you edit your training material
Choose your own AdventureGitPodCodeSpacesCommand-line		 Contributing to the Galaxy Training Material 20m
TBA Hands-on Contributing to the Galaxy Training Network with GitHub
 Contributing to the Galaxy Training Material 30m
GTN:T00465 Hands-on FAIR-by-Design methodology
FAIR-by-Design Learning MaterialsFAIR Learning ObjectsFAIR-by-Design Methodologywork-in-progress		 Contributing to the Galaxy Training Material Introductory 20M
TBA Hands-on Dataset construction for bacterial comparative genomics
microgalaxywork-in-progress		 Genome Annotation Introductory 1H
TBA Hands-on Bacterial pangenomics
 Genome Annotation Introductory 1H
TBA Hands-on Genome annotation with Braker3
eukaryotaBraker3jbrowse1		 Genome Annotation Intermediate 8h
TBA Hands-on Bacterial genome quality control
microgalaxywork-in-progress		 Genome Annotation Introductory 1H
TBA Hands-on Primer and primer scheme design for pan-specific detection and sequencing of viral pathogens across genotypes
virology		 Sequence analysis Introductory 1H
TBA Hands-on Identification and Evolutionary Analysis of Transcription-Associated Proteins in Streptophyte algae and Land plants
plants		 Sequence analysis 2H
TBA Hands-on Regulations/standards for AI using DOME
elixirai-mlwork-in-progressjupyter-notebook		 Statistics and machine learning Intermediate 3H
TBA Hands-on Generative Artificial Intelligence and Large Langage Model using Python
elixirai-mlwork-in-progressjupyter-notebook		 Statistics and machine learning Intermediate 3H
GTN:T00263 Hands-on Machine learning: classification and regression
 Statistics and machine learning 1H
GTN:T00271 Hands-on Regression in Machine Learning
 Statistics and machine learning 2H
GTN:T00270 Hands-on Basics of machine learning
 Statistics and machine learning 30M
TBA Hands-on Foundational Aspects of Machine Learning using Python
elixirai-mlwork-in-progressjupyter-notebook		 Statistics and machine learning Intermediate 3H
GTN:T00267 Hands-on Introduction to Machine Learning using R
interactive-tools		 Statistics and machine learning Intermediate 3H
GTN:T00442 Hands-on Fine tune large protein model (ProtTrans) using HuggingFace
interactive-toolsmachine-learningdeep-learningjupyter-labfine-tuningdephosphorylation-site-prediction		 Statistics and machine learning 1H
TBA Hands-on Deep Learning (without Generative Artificial Intelligence) using Python
elixirai-mlwork-in-progressjupyter-notebook		 Statistics and machine learning Intermediate 3H
GTN:T00258 Hands-on Deep Learning (Part 1) - Feedforward neural networks (FNN)
 Statistics and machine learning 2H
GTN:T00262 Hands-on Classification in Machine Learning
 Statistics and machine learning 2H
GTN:T00261 Hands-on Age prediction using machine learning
 Statistics and machine learning 2H
GTN:T00260 Hands-on PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis
Machine learningPan-cancercancer biomarkersoncogenes and tumor suppressor genes		 Statistics and machine learning 1H30M
GTN:T00257 Hands-on Deep Learning (Part 3) - Convolutional neural networks (CNN)
 Statistics and machine learning 2H
GTN:T00467 Hands-on Train and Test a Deep learning image classifier with Galaxy-Ludwig
MNISTDeep learningLudwig		 Statistics and machine learning Intermediate 40M
TBA Hands-on Text-Mining Differences in Chinese Newspaper Articles
HumanitiesText_mining		 Statistics and machine learning Introductory 1H
GTN:T00337 Hands-on Supervised Learning with Hyperdimensional Computing
 Statistics and machine learning Intermediate 30m
GTN:T00259 Hands-on Deep Learning (Part 2) - Recurrent neural networks (RNN)
 Statistics and machine learning 2H
GTN:T00268 Hands-on Introduction to deep learning
 Statistics and machine learning 1H
GTN:T00266 Hands-on A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
interactive-toolsmachine-learningdeep-learningjupyter-labimage-segmentationprotein-3D-structure		 Statistics and machine learning 1H
TBA Hands-on Neural networks using Python
elixirai-mlwork-in-progressjupyter-notebook		 Statistics and machine learning Intermediate 3H
GTN:T00264 Hands-on Clustering in Machine Learning
 Statistics and machine learning 2H
TBA Hands-on Building the LORIS LLR6 PanCancer Model Using PyCaret
LORIS Score ModelMachine LearningPyCaret		 Statistics and machine learning Intermediate 1H
TBA Hands-on Overview of the Galaxy OMERO-suite - Upload images and metadata in OMERO using Galaxy
 Imaging Intermediate 1H
TBA Hands-on Quantification of single-molecule RNA fluorescence in situ hybridization (smFISH) in yeast cell lines
RNAsmFISHbioimaging		 Imaging Introductory 30m
TBA Hands-on Collaboration with JupyterGIS
 Climate 30M
TBA Hands-on Clustering 3K PBMCs with Seurat
10x		 Single Cell Introductory 8H
TBA Hands-on Evaluating Reference Data for Bulk RNA Deconvolution
transcriptomics		 Single Cell 2H
TBA Hands-on Pseudobulk Analysis with Decoupler and EdgeR
transcriptomicspseudobulk		 Single Cell 3H
TBA Hands-on Multi-sample batch correction with Harmony and SnapATAC2
10xepigenetics		 Single Cell Intermediate 4H
TBA Hands-on Importing (uploading) data from Onedata
storage		 Using Galaxy and Managing your Data Introductory 15m
TBA Hands-on Exporting to Onedata remote
storage		 Using Galaxy and Managing your Data Introductory 5m
TBA Hands-on Getting started with Onedata distributed storage
storage		 Using Galaxy and Managing your Data Introductory 20m
TBA Hands-on Onedata user-owned storage
storage		 Using Galaxy and Managing your Data Introductory 15m
TBA Hands-on Neoantigen 5: Variant Annotation
label-free		 Proteomics 3H
TBA Hands-on Neoantigen 1: Fusion-Database-Generation
label-free		 Proteomics 2H
TBA Hands-on Single Cell Proteomics data analysis with bioconductor-scp
 Proteomics 3H
TBA Hands-on Neoantigen 6: Predicting HLA Binding
label-free		 Proteomics 3H
TBA Hands-on Neoantigen 3: Database merge and FragPipe discovery
label-free		 Proteomics 3H
TBA Hands-on Neoantigen 4: PepQuery2 Verification
label-free		 Proteomics 3H
TBA Hands-on Neoantigen 7: IEDB binding PepQuery Validated Neopeptides
label-free		 Proteomics 3H
GTN:T00225 Hands-on Machine Learning Modeling of Anticancer Peptides
MLcancer		 Proteomics Intermediate 30m
TBA Hands-on Neoantigen 2: Non-Reference-Database-Generation
label-free		 Proteomics 3H
TBA Hands-on Multiomics data analysis using MultiGSEA
multi-omicstranscriptomicsproteomicsmetabolomics		 Proteomics 1H
TBA Hands-on Phylogenetic analysis for bacterial comparative genomics
microgalaxywork-in-progress		 Evolution Introductory 1H
TBA Hands-on Configuring the Onedata connectors (remotes, Object Store, BYOS, BYOD)
storage		 Galaxy Server administration Intermediate 40m
TBA Hands-on Galaxy usage on SURF Research Cloud
deploying		 Galaxy Server administration Introductory 30m
TBA Hands-on Adding file-sources to Galaxy
earth-systemoceandatawork-in-progress		 Galaxy Server administration 15m
TBA Hands-on Pulsar usage on SURF Research Cloud
deploying		 Galaxy Server administration Introductory 30m
TBA Hands-on Query an annotated mobile genetic element database to identify and annotate genetic elements (e.g. plasmids) in metagenomics data
 Microbiome Introductory 1H
TBA Hands-on Creating community content
 Galaxy Community Building 30M
TBA Hands-on Cleaning GBIF data using OpenRefine
 Ecology 0h45m
TBA Hands-on Data submission using ENA upload Tool
 Ecology 2h
TBA Hands-on Python - Warm-up for statistics and machine learning
elixirai-mlwork-in-progressjupyter-notebook		 Foundations of Data Science Introductory 1H
GTN:T00359 Hands-on Learning about one gene across biological resources and formats
 Foundations of Data Science Introductory 1H
TBA Hands-on Generación de una matriz de datos de secuenciación de ARN de células únicas utilizando Alevin
single-cell10xpaper-replicationtranscriptomics		 Single Cell Advanced 3H
TBA Hands-on Generación de una matriz de datos de secuenciación de ARN de células únicas utilizando Alevin
single-cell10xpaper-replicationtranscriptomics		 Single Cell Advanced 3H
TBA Hands-on Filtrado, representación y exploración de secuenciación de ARN de células únicas
single-cell10xpaper-replicationinteractive-toolstranscriptomics		 Single Cell Advanced 3H
TBA Hands-on Breve introducción a Galaxy - en español
 Introduction to Galaxy Analyses Introductory 30m
TBA Hands-on Production d'indicateurs champs de bloc
 Ecology 1H
GTN:F00356 FAQs What is a Learning Pathway?
 GTN FAQ
GTN:W00223 Workflow Clustering in Machine Learning
 Statistics and machine learning
GTN:W00228 Workflow Machine Learning
 Statistics and machine learning
GTN:W00226 Workflow Intro_To_Deep_Learning
 Statistics and machine learning
TBA Workflow Metagenomics assembly tutorial workflow
 Assembly
TBA Workflow workflow-generate-dataset-for-assembly-tutorial
 Assembly
TBA Workflow WF2_Discovery-Workflow
 Microbiome
TBA Workflow WF3_VERIFICATION_WORKFLOW
 Microbiome
TBA Workflow WF4_Quantitation_Workflow
 Microbiome
TBA Workflow WF1_Database_Generation_Workflow
 Microbiome
TBA Workflow WF5_Data_Interpretation_Worklow
 Microbiome
TBA Workflow Data management in Medicinal Chemistry workflow
 FAIR Data, Workflows, and Research
TBA Workflow GTN Tutorial: Data manipulation Olympics - all steps and exercises
 Foundations of Data Science