Training materials
Scientific topics: Mass spectrometry-based metabolomics or Software engineering
and Contributors: Anup Kumar or Armin Fuchs or Bazante Sanders or Dr. Colin Combe or Helena Rasche or Michael Krone or Mihaela Martis or Prof. Tom Freeman
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hands-on tutorial
Data visualisation Olympics - Visualization in R
• beginnerSoftware engineering Foundations of Data Science R cyoa jupyter-notebook rmarkdown-notebook -
hands-on tutorial
Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)
•• intermediateMetabolomics -
hands-on tutorial
Python - Coding Style
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Type annotations
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Multiprocessing
••• advancedSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Python - Testing
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook -
hands-on tutorial
Scripting Galaxy using the API and BioBlend
• beginnerSoftware engineering Development in Galaxy jupyter-notebook -
hands-on tutorial
Data source integration
• beginnerSoftware engineering Development in Galaxy -
hands-on tutorial
ToolFactory: Generating Tools From Simple Scripts
• beginnerSoftware engineering Development in Galaxy -
hands-on tutorial
Python - Subprocess
•• intermediateSoftware engineering Foundations of Data Science jupyter-notebook