Training materials
Keywords: Data Analysis or data harmonization
and Difficulty level: Beginner or Intermediate
and Resource type: Computational Biology or Jupyter notebook or Video
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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
Video
Annotating data using next generation biobanking ontology (NGBO)
• beginnerData integration and warehousing Ontology and terminology Standards Ontologies Data Integration data harmonization Standardised vocabulary -
Video
Applying data standards to the harmonization of COVID-19 datasets from different sources
• beginnerData integration and warehousing Data integration Standards Standardised vocabulary data harmonization Ontologies -
Video
Status Update Code of Conduct: Teaming up & Talking about it
•• intermediateGDPR Healthcare research data harmonization -
Video
Data harmonization and enrichment using EMBL-EBI ontology tools
• beginnerData management Data submission, annotation, and curation Ontology and terminology CINECA data harmonization Annotation Ontologies