Training materials
Difficulty level: Advanced or Intermediate
and Contributors: Björn Grüning or Celia van Gelder or Koen Van den Berge or Manimozhiyan Arumugam or Marek Vrbacky or Ms. Yo Yehudi or Nils Peder Willassen or Pip Griffin or Prof. Richard Baldock or Vasundra Touré
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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
High Throughput Molecular Dynamics and Analysis
••• advancedComputational chemistry -
Video, Training materials, E-learning
Validate Graph Data with SHACL
•• intermediateMedical informatics FAIR data Data management Computer science Validation Data handling Clinical data SHACL Data validation RDF Knowledge graph GraphDB RDF graph validation -
Video, Training materials, Mock data, E-learning
How to use Python and R with RDF Data
•• intermediateComputer science Data management FAIR data Medical informatics Query and retrieval Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph Python R GraphDB -
Bioinformatics Summer School 2019
•• intermediateProteomics RNA-Seq Omics Statistics and probability Data handling -
Text-mining exercises
•• intermediateMicrobial ecology Metagenomics Natural language processing Data mining