Training materials
Difficulty level: Intermediate
and Contributors: Daniel Sobral or Dr. Nils Gehlenborg or Fotis E. Psomopoulos or Kaivan Kamali or Melanie Föll or Vicky Schneider
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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 -
hands-on tutorial
Mass spectrometry imaging: Finding differential analytes
•• intermediateMetabolomics -
Documentation, Exercise, Handout, Scripts
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)
•• intermediateRNA-Seq Genomics RNA
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