Training materials
Content provider: Galaxy Training
and Keywords: EeLP or FAIR or Populus-tremula or Python biologists or metabolomics
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hands-on tutorial
FAIRification of an RNAseq dataset
•• intermediateFAIR clinical data -
hands-on tutorial
Data management in Medicinal Chemistry
• beginnermedicinal chemistry computational chemistry FAIR -
hands-on tutorial
REMBI - Recommended Metadata for Biological Images – metadata guidelines for bioimaging data
• beginnerBioimaging FAIR REMBI -
hands-on tutorial
FAIR Bioimage Metadata
• beginnerFAIR bioimage Bioimage Metadata -
hands-on tutorial
FAIR Galaxy Training Material
• beginnerFAIR Galaxy Training material -
hands-on tutorial
FAIR data management solutions
•• intermediateFAIR Data management -
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 'Mass spectrometry: GC-MS data processing (with XCMS, RAMClustR, RIAssigner, and matchms)' tutorial
•• intermediateMetabolomics metabolomics -
hands-on tutorial
Hands-on for 'Mass spectrometry: LC-MS preprocessing with XCMS' tutorial
•• intermediateMetabolomics metabolomics
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