Training materials
Difficulty level: Intermediate
and Contributors: Björn Grüning or Branka Franicevic or Dr. Scooter Morris or Dr. Simon Li or Jamie Edwards or Manimozhiyan Arumugam or Marek Suchanek or Mateusz Kuzak or Nicola Mulder or Sabine Österle or Sonika Tyagi or The Carpentries
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hands-on tutorial
Pathway analysis with the MINERVA Platform
•• intermediateTranscriptomics bulk cyoa rna-seq viz -
hands-on tutorial
Secretome Prediction
•• intermediateProteomics human work-in-progress -
hands-on tutorial
Detection and quantitation of N-termini (degradomics) via N-TAILS
•• intermediateProteomics -
hands-on tutorial
SQL with Python
•• intermediateSoftware engineering Foundations of Data Science Python SQL jupyter-notebook -
hands-on tutorial
SQL with R
•• intermediateSoftware engineering Foundations of Data Science R SQL jupyter-notebook rmarkdown-notebook -
hands-on tutorial
Advanced CLI in Galaxy
•• intermediateSoftware engineering Foundations of Data Science bash jupyter-notebook -
hands-on tutorial
Plotting in Python
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Advanced R in Galaxy
•• intermediateSoftware engineering Foundations of Data Science R -
hands-on tutorial
Advanced Python
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
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
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