Training materials
Difficulty level: Intermediate
and Contributors: Alvaro Gonzalez or David Philip Judge or Donny Vrins or Gildas Le Corguillé or Hélène Chiapello or Krzysztof Poterlowicz or Nene Barry
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hands-on tutorial
Making clinical datasets FAIR
•• intermediateFAIR clinical data -
hands-on tutorial
Python - Type annotations
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Testing
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Subprocess
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Globbing
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Argparse
•• intermediateSoftware engineering Foundations of Data Science -
hands-on tutorial
Make & Snakemake
•• intermediateSoftware engineering Foundations of Data Science -
hands-on tutorial
Mass spectrometry: LC-MS preprocessing with XCMS
•• intermediateMetabolomics -
Video
A common framework for designing portable federated pipelines
•• intermediateData architecture, analysis and design data access federated data analysis -
IFB Shiny training
•• intermediateR-programming Reproducible Science
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