Training materials
Difficulty level: Intermediate
and Resource type: slideck/ presentation or Training materials or Bioinformatics
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
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 -
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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