Training materials
Target audience: Graduate Students or Technicians or biocurators or computational scientists or postgrad or statisticians
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lessons
Data Visualisation
• beginnerData visualisation Data Visualization -
Training materials
Machine Learning & BioStatistics Hackathon 2020
• beginnerMachine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP -
Jupyter notebook
BioExcel Building Blocks (BioBB) Training Material
• beginnermolecular dynamics Docking Modeling life sciences -
IFB Shiny training
•• intermediateR-programming Reproducible Science -
Training materials
FAIR principles applied to bioinformatics
•• intermediateFAIR Reproducible Science Open science Data analysis Data processing -
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 -
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 -
course materials
Ready For BioData Management?
• beginnerData management Data managment plan -
Metadata Registry
FAIRsharing Educational Material
• beginnerDatabases Standards Data Policies FAIR