Training materials
Difficulty level: Intermediate
and Contributors: Alvaro Gonzalez or Daniel Neves or Donny Vrins or Hélène Chiapello or Krzysztof Poterlowicz or Nene Barry
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hands-on tutorial
Sequence data submission to ENA
•• intermediateFAIR ENA sequence datasets -
hands-on tutorial
Making clinical datasets FAIR
•• intermediateFAIR clinical data -
hands-on tutorial
Hands-on for 'Python - Subprocess' tutorial
•• intermediatedata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Python - Globbing' tutorial
•• intermediatedata-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 -
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 -
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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