Training materials
Difficulty level: Intermediate
and Contributors: Bioinformatics, Rockefeller University or Björn Grüning or Daniel Neves or Dr. Scooter Morris or Dr. Steve Jupe or Jamie Edwards or Manimozhiyan Arumugam or Marek Suchanek or Martin Hubalek or Nicola Mulder or Oliver Davis or Sabine Österle or Sonika Tyagi
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hands-on tutorial
Hands-on for 'Secretome Prediction' tutorial
•• intermediateproteomics human -
hands-on tutorial
Detection and quantitation of N-termini (degradomics) via N-TAILS
•• intermediateProteomics -
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 -
Documentation, Exercise, Handout, Scripts
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
ADER18S - Analysis of Differential Expression with RNAseq (Second course in 2018)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
ADER18F - Analysis of Differential Expression with RNAseq (First course in 2018)
•• intermediateRNA-Seq Genomics RNA -
Text-mining exercises
•• intermediateMicrobial ecology Metagenomics Natural language processing Data mining