Training materials
Target audience: Training Designers or bioinformaticians or healthcare professionals
and Authors: Jonathan Karr or Julien Seiler or allegra.via Via
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Slides
FAIR data - Module 2 (data life cycle)
• beginnerData management Biology Bioinformatics Data handling Data preserving Data storage -
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 -
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 -
Introduction to Biopython
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Using R with Python
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Linear Motifs and Phosphorylation Sites
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Parsing data records using Python programming