Training materials
Difficulty level: Intermediate
and Contributors: Björn Grüning or Celia van Gelder or Daniel Blankenberg or Dr. Simon Andrews or Gildas Le Corguillé or Jamie Edwards or Katarzyna Kamieniecka or Manimozhiyan Arumugam or Marek Vrbacky or Melanie Föll or Patricia Palagi
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hands-on tutorial
Pathway analysis with the MINERVA Platform
•• intermediateTranscriptomics bulk cyoa rna-seq viz -
hands-on tutorial
Making clinical datasets FAIR
•• intermediateFAIR clinical data -
hands-on tutorial
Secretome Prediction
•• intermediateProteomics human work-in-progress -
hands-on tutorial
Peptide Library Data Analysis
•• intermediateProteomics -
hands-on tutorial
Library Generation for DIA Analysis
•• intermediateProteomics DIA -
hands-on tutorial
DIA Analysis using OpenSwathWorkflow
•• intermediateProteomics DIA -
hands-on tutorial
Statistical analysis of DIA data
•• intermediateProteomics DIA -
hands-on tutorial
Machine Learning Modeling of Anticancer Peptides
•• intermediateProteomics ML cancer -
hands-on tutorial
Detection and quantitation of N-termini (degradomics) via N-TAILS
•• intermediateProteomics -
hands-on tutorial
MaxQuant and MSstats for the analysis of label-free data
•• intermediateProteomics label-free
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