Training materials
Difficulty level: Advanced or Intermediate
and Contributors: Björn Grüning or Celia van Gelder or Erik Hjerde or Fotis E. Psomopoulos or Manimozhiyan Arumugam or Marek Vrbacky or Ms. Yo Yehudi or Nils Peder Willassen
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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 'Secretome Prediction' tutorial
•• intermediateproteomics human -
hands-on tutorial
Hands-on for 'Peptide and Protein Quantification via Stable Isotope Labelling (SIL)' tutorial
••• advancedproteomics DDA SILAC -
hands-on tutorial
Detection and quantitation of N-termini (degradomics) via N-TAILS
•• intermediateProteomics -
hands-on tutorial
Hands-on for 'Peptide and Protein ID using OpenMS tools' tutorial
••• advancedproteomics DDA HeLa -
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
High Throughput Molecular Dynamics and Analysis
••• advancedComputational chemistry -
Text-mining exercises
•• intermediateMicrobial ecology Metagenomics Natural language processing Data mining