Training materials
Difficulty level: Intermediate
and Contributors: Bérénice Batut or Daniel Faria or Katarzyna Kamieniecka or Lounès Chikhi or Maria Christina Maniou or Mikko Rautiainen
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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 'Mutation calling, viral genome reconstruction and lineage/clade assignment from SARS-CoV-2 sequencing data' tutorial
•• intermediatevariant-analysis covid19 virology one-health -
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 -
Documentation, Exercise, Handout, Scripts
CPANG19 - Computational PANGenomics (2019)
•• intermediateGenomics -
Documentation, Exercise, Handout, Scripts
ADER19F - Analysis of Differential Expression with RNAseq (First course in 2019)
•• intermediateRNA-Seq Genomics RNA -
Documentation, Exercise, Handout, Scripts
PGDH19 - Population Genetics Demographic History: model-based approaches (2019)
•• intermediatePopulation Genomics Phylogenetics -
Documentation, Exercise, Handout, Scripts
ADER18S - Analysis of Differential Expression with RNAseq (Second course in 2018)
•• intermediateRNA-Seq Genomics RNA
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