Training materials
Contributors: Armin Fuchs or Dr. Manuel Corpas or Florian Christoph Sigloch or Kaivan Kamali or Michael Ball or Prof. Maya Topf or Vicky Schneider
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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
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