Training materials
Keywords: Bioimaging or DDA or Extras or Programming or Python
and Resource type: Jupyter notebook or hands-on tutorial
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hands-on tutorial
REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data
• beginnerBioimaging FAIR REMBI -
hands-on tutorial
Gentle Introduction to Python
• beginnerPython script Software engineering Programming Python -
hands-on tutorial
Hands-on for 'Biomarker candidate identification' tutorial
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hands-on tutorial
Hands-on for 'Annotating a protein list identified by LC-MS/MS experiments' tutorial
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hands-on tutorial
Hands-on for 'MaxQuant and MSstats for the analysis of TMT data' tutorial
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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 '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 'Label-free data analysis using MaxQuant' tutorial
• beginnerproteomics DDA label-free -
hands-on tutorial
Hands-on for 'Peptide and Protein ID using OpenMS tools' tutorial
••• advancedproteomics DDA HeLa
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