Training materials
Contributors: Prof. Tom Freeman or Martin Krzywinski or Andrea Argentini or Mateusz Kuzak or Patricia Palagi or John "Scooter" Morris or Dr. Roland Schwarz or Emily Angiolini or Laurent Gatto or Elisabeth Busch or Florian Christoph Sigloch or Kaivan Kamali
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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 'Label-free versus Labelled - How to Choose Your Quantitation Method' tutorial
• beginnerProteomics proteomics DDA -
hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateProteomics proteomics human -
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 'Peptide and Protein ID using SearchGUI and PeptideShaker' tutorial
• beginnerProteomics proteomics DDA HeLa -
hands-on tutorial
Hands-on for 'Detection and quantitation of N-termini (degradomics) via N-TAILS' tutorial
•• intermediateProteomics proteomics -
hands-on tutorial
Hands-on for 'Peptide and Protein ID using OpenMS tools' tutorial
••• advancedProteomics proteomics DDA HeLa -
hands-on tutorial
Hands-on for 'Protein FASTA Database Handling' tutorial
• beginnerProteomics proteomics DDA -
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