Training materials
Scientific topics: Computational biology or Mass spectrometry or Medical informatics
and Keywords: Programming or SNOMED CT or Semantic framework or biomodel
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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 -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education
R for Beginners
• beginnerBioinformatics Computational biology Computer science Coding Programming -
Video, E-Learning
How to create a concept for the SPHN Dataset
• beginnerComputer science Data management FAIR data Medical informatics Design Standardisation and normalisation Clinical data Semantic Framework FAIR Concepts design Ontology Semantic inheritance SNOMED CT Conceptualization -
Video, E-learning
FAIR principles in practice for health data
• beginnerComputer science Data management FAIR data Medical informatics Standardisation and normalisation Design Clinical data RDF Knowledge graph Semantic framework FAIR Findability Accessibility Interoperability Reusability -
Video, Training materials, E-learning
Semantic Standards
• beginnerComputer science Data management FAIR data Medical informatics Ontology and terminology Data handling Standardisation and normalisation Clinical data Data semantics FAIR Standards Ontology SNOMED CT LOINC ATC CHOP ICD Interoperability -
Video, Training materials with mock data, e-learning
Querying Data with SPARQL
• beginnerComputer science Data management FAIR data Medical informatics Data mining Query and retrieval Database search Data handling Data retrieval Clinical data SPARQL Query data RDF Knowledge graph SNOMED CT LOINC Interoperability -
Tutorial, Documentation
BioSimulators tutorial and help
•• intermediateSystems biology Computational biology Simulation experiment Modelling and simulation Modeling biomodel dynamic simulations COMBINE OMEX SED-ML SBML BNGL