Training materials
Contributors: Andrea Argentini or Anton Nekrutenko or Clair Castle or Coline Royaux or Daniel Blankenberg or Jure Dimec or Mateusz Kuzak or Matthias Fahrner or Melanie Foell or Patricia Palagi or Prof. Tom Freeman
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hands-on tutorial
Hands-on for 'PAPAA PI3K_OG: PanCancer Aberrant Pathway Activity Analysis' tutorial
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hands-on tutorial
Hands-on for 'Text-mining with the SimText toolset' 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
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 'Library Generation for DIA Analysis' tutorial
•• intermediateproteomics DIA -
hands-on tutorial
Hands-on for 'DIA Analysis using OpenSwathWorkflow' tutorial
•• intermediateproteomics DIA -
hands-on tutorial
Hands-on for 'Statistical analysis of DIA data' tutorial
•• intermediateproteomics DIA -
hands-on tutorial
Hands-on for 'Machine Learning Modeling of Anticancer Peptides' tutorial
•• intermediateproteomics ML cancer -
hands-on tutorial
Hands-on for 'MaxQuant and MSstats for the analysis of label-free data' tutorial
•• intermediateproteomics label-free