Training materials
Difficulty level: Intermediate
and Contributors: Dr. Jim Procter or Dr. Nils Gehlenborg or Emily Angiolini or Fotis E. Psomopoulos or Lieven Clement or Matthias Fahrner
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hands-on tutorial
Hands-on for 'Introduction to Machine Learning using R' tutorial
•• intermediatestatistics interactive-tools -
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 'Plotting in Python' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced R in Galaxy' tutorial
•• intermediatedata-science R -
hands-on tutorial
Hands-on for 'Advanced Python' tutorial
•• intermediatedata-science jupyter-notebook -
PSLS22 Practical Statistics for the Life Sciences
•• intermediate -
Documentation, Exercise, Handout, Scripts
PDA19 - Proteomics Data Analysis (2019)
•• intermediateProteomics Biological databases Mass spectrometry data
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