Training materials
Scientific topics: Bottom-up proteomics or Findable, accessible, interoperable, reusable data
and Contributors: @posit-pbc or Bang Wong or Björn Grüning or Branka Franicevic or Celia van Gelder or Daniel Blankenberg or Dr. Simon Andrews or Eija Korpelainen or Jalview Coordinator or Jamie Edwards or Jyoti Khadake or Manimozhiyan Arumugam or Marek Vrbacky or Sabine Österle
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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 Library Data Analysis
•• intermediateProteomics -
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
Machine Learning Modeling of Anticancer Peptides
•• intermediateProteomics ML cancer -
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
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