Training materials
Content provider: Galaxy Training
and Contributors: Andrea Argentini or Bioinformatics, Rockefeller University or Frederick Carver or Janick Mathys or Jure Dimec or Kaivan Kamali or Mateusz Kuzak or Matthias Fahrner or Patricia Palagi 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 proteomics DDA SILAC -
hands-on tutorial
Hands-on for 'Library Generation for DIA Analysis' tutorial
•• intermediateProteomics proteomics DIA -
hands-on tutorial
Hands-on for 'DIA Analysis using OpenSwathWorkflow' tutorial
•• intermediateProteomics proteomics DIA -
hands-on tutorial
Hands-on for 'Statistical analysis of DIA data' tutorial
•• intermediateProteomics proteomics DIA -
hands-on tutorial
Hands-on for 'MaxQuant and MSstats for the analysis of label-free data' tutorial
•• intermediateProteomics proteomics label-free -
hands-on tutorial
Hands-on for 'Label-free data analysis using MaxQuant' tutorial
• beginnerProteomics proteomics 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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