Training materials
Difficulty level: Intermediate
and Keywords: FAIR or Inferential statistics or Introduction or R-programming or one-health or teaching
-
hands-on tutorial
FAIRification of an RNAseq dataset
•• intermediateFAIR clinical data -
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 -
Video, E-Learning
SPHN Dataset Template: Build an RDF schema from an Excel file
•• intermediateComputer science Data management FAIR data Medical informatics Semantic artifacts generation Automation Clinical data Semantic Framework FAIR RDF RDF graph generation Dataset template -
e-learning, Documentation
FAIRplus fellowship programme
•• intermediateFAIR data FAIRness Data management FAIRplus life-sciences -
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 'M. tuberculosis Variant Analysis' tutorial
•• intermediatevariant-analysis prokaryote one-health -
hands-on tutorial
Hands-on for 'Identifying tuberculosis transmission links: from SNPs to transmission clusters' tutorial
•• intermediateevolution prokaryote one-health -
hands-on tutorial
Hands-on for 'Virtual screening of the SARS-CoV-2 main protease with rxDock and pose scoring' tutorial
•• intermediatecomputational-chemistry covid19 one-health
- 1
- 2