Training materials
Scientific topics: MS-based targeted proteomics
and Contributors: Björn Grüning or Celia van Gelder or Daniel Blankenberg or Erik Hedman or Luigi Grassi or Manimozhiyan Arumugam or Marek Vrbacky or Nils Peder Willassen or Rafael C Jimenez
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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 -
hands-on tutorial
Protein FASTA Database Handling
• beginnerProteomics DDA -
hands-on tutorial
Mass spectrometry imaging: Loading and exploring MSI data
• beginnerProteomics imaging mouse
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