Training materials
Difficulty level: Intermediate
and Contributors: Alex Mahmoud or Björn Grüning or Celia van Gelder or Dr. Manuel Corpas or Jamie Edwards or Jordi Rambla or Manimozhiyan Arumugam or Mikko Rautiainen or Nils Peder Willassen or Vasundra Touré
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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 -
hands-on tutorial
Hands-on for 'Managing Galaxy on Kubernetes' tutorial
•• intermediateadmin kubernetes -
hands-on tutorial
Hands-on for 'Galaxy Installation on Kubernetes' tutorial
•• intermediateadmin kubernetes -
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
CPANG19 - Computational PANGenomics (2019)
•• intermediateGenomics -
Documentation, Exercise, Handout, Scripts
CPANG18 - Computational PANGenomics (2018)
•• intermediateGenomics -
Text-mining exercises
•• intermediateMicrobial ecology Metagenomics Natural language processing Data mining