Training materials
Keywords: Computational modelling or Identifying data and code or Machine learning or PID metadata
and Target audience: Life Science Researchers or bioinformaticians
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Learn to Discover (L2D): Data Handling and Machine Learning using Python
••• advancedMachine learning Artificial Intelligence data science Python Programming Bioinformatics Biomedical data -
Video
Metabolic Control Analysis in COPASI
• beginnerSimulation experiment Systems biology Modelling and simulation Analysis Visualisation SystemsBiology ComputationalBiology Computational modelling Kinetic modeling COPASI -
Video
Time Course Simulation in COPASI
• beginnerSimulation experiment Modelling and simulation Visualisation SystemsBiology ComputationalBiology Computational modelling Kinetic modeling COPASI -
Video
Model Creation using COPASI
• beginnerSimulation experiment Modelling and simulation Visualisation SystemsBiology ComputationalBiology Computational modelling modeling Biomodelling Model Kinetic modeling COPASI -
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 -
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 -
course materials
Introduction to Persistent Identifiers
•• intermediateData management system relevant metadata for data PID metadata Python API pyhandle Persistent Identifiers -
Slides
Helis Academy - Persistent identifiers and their use cases