Training materials
Scientific topics: Machine learning or Metaproteomics
and Contributors: Björn Grüning or Emma Leith or Janick Mathys or JuliaAcademy or Maria Christina Maniou or Sergio Martínez Cuesta
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JuliaAcademy/Foundations-of-Machine-Learning
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hands-on tutorial
metaQuantome 3: Taxonomy
•• intermediateProteomics Proteogenomics Metatranscriptomics Microbial ecology Metagenomics Taxonomy microgalaxy -
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
metaQuantome 2: Function
•• intermediateProteomics Proteogenomics Metatranscriptomics Microbial ecology Metagenomics microgalaxy -
hands-on tutorial
metaQuantome 1: Data creation
•• intermediateProteomics Proteogenomics Biodiversity Taxonomy microgalaxy -
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
EncyclopeDIA
• beginnerProteomics DIA
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