Training materials
Authors: Aidan Budd or Florian Christoph Sigloch or Kaivan Kamali or Personalized Health Informatics Group or Richard Smith-Unna or pajanne
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Video, E-Learning
SPHN Dataset Template: Build an RDF schema from an Excel file
•• intermediateComputer science Data management FAIR data Medical informatics Semantic artifacts generation Automation Clinical data Semantic Framework FAIR RDF RDF graph generation Dataset template -
Video, E-learning
FAIRification of external terminologies
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Clinical data Semantic Framework FAIR Terminology Ontology Versioning of Terminology -
Video, E-Learning
How to create a concept for the SPHN Dataset
• beginnerComputer science Data management FAIR data Medical informatics Design Standardisation and normalisation Clinical data Semantic Framework FAIR Concepts design Ontology Semantic inheritance SNOMED CT Conceptualization -
Video, E-learning
FAIR principles in practice for health data
• beginnerComputer science Data management FAIR data Medical informatics Standardisation and normalisation Design Clinical data RDF Knowledge graph Semantic framework FAIR Findability Accessibility Interoperability Reusability -
hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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hands-on tutorial
Hands-on for 'Label-free versus Labelled - How to Choose Your Quantitation Method' tutorial
• beginnerProteomics proteomics DDA -
hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateProteomics proteomics human -
hands-on tutorial
Hands-on for 'Peptide and Protein Quantification via Stable Isotope Labelling (SIL)' tutorial
••• advancedProteomics proteomics DDA SILAC -
hands-on tutorial
Hands-on for 'Peptide and Protein ID using SearchGUI and PeptideShaker' tutorial
• beginnerProteomics proteomics DDA HeLa -
hands-on tutorial
Hands-on for 'Detection and quantitation of N-termini (degradomics) via N-TAILS' tutorial
•• intermediateProteomics proteomics