Training materials
Difficulty level: Intermediate
and Contributors: Andrea Argentini or Dr. Paul Shaw or Fotis E. Psomopoulos or Martin Krzywinski or Mateusz Kuzak or Patricia Palagi or Praveen Kumar or Prof. Frederic Fol Leymarie or Prof. Tom Freeman
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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 'metaQuantome 3: Taxonomy' tutorial
•• intermediateProteomics proteomics microbiome -
hands-on tutorial
Hands-on for 'Proteogenomics 1: Database Creation' tutorial
•• intermediateProteomics proteomics proteogenomics -
hands-on tutorial
Hands-on for 'Proteogenomics 2: Database Search' tutorial
•• intermediateProteomics proteomics proteogenomics -
hands-on tutorial
Hands-on for 'metaQuantome 2: Function' tutorial
•• intermediateProteomics proteomics microbiome -
hands-on tutorial
Hands-on for 'Proteogenomics 3: Novel peptide analysis' tutorial
•• intermediateProteomics proteomics proteogenomics -
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