Training materials
Scientific topics: FAIR data or Targeted proteomics
and Contributors: Dr. A.J. Pretorius or Florian Christoph Sigloch or Michael Krone or Mr. William Edward Hill or Prof. David Willaim Burt or Prof. Tom Freeman or Sabine Österle or UC Davis Bioinformatics Core Training Page
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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 -
hands-on tutorial
Secretome Prediction
•• intermediateProteomics human work-in-progress -
hands-on tutorial
Label-free versus Labelled - How to Choose Your Quantitation Method
• beginnerProteomics DDA -
hands-on tutorial
Peptide and Protein Quantification via Stable Isotope Labelling (SIL)
••• advancedProteomics DDA SILAC -
hands-on tutorial
Peptide and Protein ID using SearchGUI and PeptideShaker
• beginnerProteomics DDA HeLa -
hands-on tutorial
Detection and quantitation of N-termini (degradomics) via N-TAILS
•• intermediateProteomics -
hands-on tutorial
Peptide and Protein ID using OpenMS tools
••• advancedProteomics DDA HeLa -
hands-on tutorial
Protein FASTA Database Handling
• beginnerProteomics DDA -
Video, Training materials, E-learning
Training Primer (RDF and SPARQL)
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Query and retrieval Database search Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph Triplestore Ontology
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