Training materials
Target audience: Bachelor students or Clinical Scientists or Computational biologists or Policy makers or postgrad
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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 -
Webinar, e-learning
Educational webinars on rare endocrine conditions (ENDO-ERN)
••• advancedRare diseases Rare Diseases & Research -
Webinar, e-learning
Education and Training webinars on genetic tumor risk syndromes (ERN GENTURIS)
••• advancedRare diseases Rare Diseases & Research -
examples, Tutorial, Jupyter notebook, API reference
DE-Sim examples, tutorials, and documentation
••• advancedSimulation experiment Computer science Mathematics Computational biology Modelling and simulation Visualisation data-driven modeling Computational modelling discrete-event simulation DES object-oriented programming Python data visualization Data Science -
e-learning
Genomic Technologies in Clinical Diagnostics: Next Generation Sequencing
••• advancedRare diseases Rare Diseases & Research -
Documentation
BioSimulations tutorial and help
•• intermediateComputational biology Systems biology Simulation experiment Visualisation Modelling and simulation SystemsBiology ComputationalBiology Computational modelling Modeling Biomodelling Model Kinetic modeling SED-ML COMBINE -
Tutorial
Datanator tutorial
• beginnerMolecular biology Cell biology Systems biology Bioinformatics Omics Query and retrieval Filtering genomics Proteomics transcriptomics Metabolomics reaction kinetics Kinetic modeling meta analysis -
knowledgebase
PanelApp Reviewer’s Guide
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Metadata Registry
FAIRsharing Educational Material
• beginnerDatabases Standards Data Policies FAIR -
e-learning
UNIX Fundamentals
• beginnerComputer science Problem based learning Programming Unix