Training materials
Difficulty level: Intermediate
and Contributors: Eija Korpelainen or Fotis E. Psomopoulos or Gildas Le Corguillé or Lieven Clement or Mark Beaumont
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hands-on tutorial
Hands-on for 'Introduction to Machine Learning using R' tutorial
•• intermediateStatistics and probability statistics interactive-tools -
hands-on tutorial
Hands-on for 'Plotting in Python' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced R in Galaxy' tutorial
•• intermediateSoftware engineering data-science R -
hands-on tutorial
Hands-on for 'Advanced Python' tutorial
•• intermediateSoftware engineering data-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Mass spectrometry: LC-MS preprocessing with XCMS' tutorial
•• intermediateMetabolomics metabolomics -
PSLS22 Practical Statistics for the Life Sciences
•• intermediate -
Documentation, Exercise, Handout, Scripts
PGDH19 - Population Genetics Demographic History: model-based approaches (2019)
•• intermediatePopulation Genomics Phylogenetics -
Documentation, Exercise, Handout, Scripts
PDA19 - Proteomics Data Analysis (2019)
•• intermediateProteomics Biological databases Mass spectrometry data -
Documentation, Exercise, Handout, Scripts
PDA18 - Proteomics Data Analysis (2018)
•• intermediateProteomics Biological databases Mass spectrometry data -
Documentation, Exercise, Handout, Scripts
PGDH18 - Population Genetics and Demographic History: model-based approaches (2018)
•• intermediatePopulation Genomics Phylogenetics
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