Training materials
Contributors: Kaivan Kamali or Maria Lehtivaara or Martin Hubalek or Matthias Fahrner or Michael Ball or Michael Krone or Prof. Tom Freeman
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hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' 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 '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 'MaxQuant and MSstats for the analysis of label-free data' tutorial
•• intermediateproteomics label-free -
hands-on tutorial
Hands-on for 'Label-free data analysis using MaxQuant' tutorial
• beginnerproteomics DDA label-free -
hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
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slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial
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