Training materials
Difficulty level: Intermediate
and Resource type: Training materials or slide deck / presentation
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Slideshow, Training materials
Prediction of protein structures and complexes with AlphaFold on the HPC
•• intermediateProtein structure analysis Machine learning Structure prediction Structure visualisation Multiple sequence alignment AlphaFold Database (13181) -
Webinar, Training materials
Exploring structural and functional annotations of IDPs with DisProt
•• intermediateCuration Databases Ontologies Intrinsically disordered proteins Protein sequence analysis Protein function analysis -
Video, Training materials, E-learning
Validate Graph Data with SHACL
•• intermediateMedical informatics FAIR data Data management Computer science Validation Data handling Clinical data SHACL Data validation RDF Knowledge graph GraphDB RDF graph validation -
Video, Training materials, Mock data, E-learning
How to use Python and R with RDF Data
•• intermediateComputer science Data management FAIR data Medical informatics Query and retrieval Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph Python R GraphDB -
Training materials
Containers & Workflow pipelines workshop
•• intermediateContainers Nextflow -
PDF, slide deck / presentation
Elaboración de un Plan de Gestión de Datos (DMP): teoria y práctica
•• intermediateFAIR data Data management ELIXIR-CONVERGE DMP data management plan research data management FAIR principles DMP tools DMP templates tools template competency DMP evaluation evaluation on-line Spanish e-learning -
Training materials, Video
GA4GH Passports and ELIXIR AAI
•• intermediateAAI GA4GH Passports Auhtorisation -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
Documentation, Video, Training materials, online modules, e-learning
Genetics education for primary care resources from the Gen-Equip project
•• intermediateRare diseases Rare Diseases & Research -
Training materials
Essential Steps of the FAIRification Process
•• intermediateFAIR data stewardship metadata linked data
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