Training materials
Scientific topics: MS-based targeted proteomics
and Contributors: Bang Wong or Björn Grüning or Daniel Blankenberg or Dr. Scooter Morris or Helena Rasche or Jamie Edwards or John Chilton or Jordi Rambla or Manimozhiyan Arumugam or Marek Suchanek or Nicola Mulder
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hands-on tutorial
Hands-on for 'Label-free versus Labelled - How to Choose Your Quantitation Method' tutorial
• beginnerproteomics DDA -
hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateproteomics human -
hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'Peptide and Protein Quantification via Stable Isotope Labelling (SIL)' tutorial
••• advancedproteomics DDA SILAC -
hands-on tutorial
Hands-on for 'Peptide and Protein ID using SearchGUI and PeptideShaker' tutorial
• beginnerproteomics DDA HeLa -
hands-on tutorial
Hands-on for 'Machine Learning Modeling of Anticancer Peptides' tutorial
•• intermediateproteomics ML cancer -
hands-on tutorial
Detection and quantitation of N-termini (degradomics) via N-TAILS
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'Peptide and Protein ID using OpenMS tools' tutorial
••• advancedproteomics DDA HeLa -
hands-on tutorial
Hands-on for 'Protein FASTA Database Handling' tutorial
• beginnerproteomics DDA -
hands-on tutorial
Hands-on for 'Mass spectrometry imaging: Loading and exploring MSI data' tutorial
• beginnerproteomics mouse imaging
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