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Existing Workflow in Experimental Research |
Consider the following typical workflow in research. The subsequent figure shows these general steps in experimental research.
Use preliminary results and published data to develop a model and hypothesis in your area of interest.
Validate your model by making predictions and designing experiments to test your model and hypothesis.
Make further predictions based on your model.
Publish results and predictions.
Continue to test predictions experimentally.
Typical Workflow in Experimental Research

Mathematical modeling integrates into the preceding workflow by providing the means to:
Consolidate quantitative data into the model.
Represent large pathways and networks and lay them out in meaningful ways using a software application.
Study emergent properties of pathways and use these predictions to guide the direction of experimental research in ways that can save time and development costs.

The SimBiology software provides an integrated environment for mathematical modeling and analysis of biological and biochemical pathways. The following diagram shows you an overlay of features and tasks in the product pictured in the context of the complete workflow in experimental research.

![]() | Product Overview | Getting Started in the SimBiology Desktop | ![]() |

See how to analyze, visualize, and model biological data and systems using MathWorks products.
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