Training materials
Target audience: Biologists, Genomicists, Computer Scientists or Computational biologists
and Authors: Jonathan Karr or Maria Lehtivaara or Michelle Brazas
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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 -
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 -
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 -
RNA-seq Analysis 2014 Module 4 - Isoform discovery and alternative expression
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RNA-seq Analysis 2014 Module 3 - Expression and Differential Expression
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RNA-seq Analysis 2014 Module 2 - Alignment and Visualization
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RNA-seq Analysis 2014 Module 1 - Introduction to RNA-seq Analysis
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Pathway and Network Analysis 2014 Module 6 - Gene Function Prediction
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Pathway and Network Analysis 2014 Module 5 - Network Visualization
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