Training materials
Difficulty level: Intermediate
and Contributors: Alex Mahmoud or Anatole Chessel or Daniel Sobral or Fotis E. Psomopoulos or Gildas Le Corguillé or Hélène Chiapello
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hands-on tutorial
Hands-on for 'Introduction to Machine Learning using R' tutorial
•• intermediatestatistics interactive-tools -
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 -
hands-on tutorial
Hands-on for 'Plotting in Python' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Advanced R in Galaxy' tutorial
•• intermediatedata-science R -
hands-on tutorial
Hands-on for 'Advanced Python' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Mass spectrometry: LC-MS preprocessing with XCMS
•• intermediateMetabolomics -
IFB Shiny training
•• intermediateR-programming Reproducible Science -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
Documentation, Exercise, Handout, Scripts
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)
•• intermediateRNA-Seq Genomics RNA
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