Difference between revisions of "Team:DTU-Denmark/Model"
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<h1 class="bottomborder">Modelling</h1> | <h1 class="bottomborder">Modelling</h1> | ||
| − | <p> | + | <h2>Modeling as an iterative process: The design-build-test cycle</h2> |
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| + | <p>One of the core aspects of synthetic biology is the iterative design-build-test-learn cycle, where the information gained from one experiment is used to design the subsequent experiments. | ||
| + | </p><br> | ||
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| + | <p>Within the learn stage of the design-build-test cycle, models can be used as a way to interpret data, and, more crucially, make predictions about the system that can be used in the design stage of the cycle. | ||
| + | Modeling is itself an iterative process, where the predictions from the model are used in experiments. Constraints on time have put a limit on the number of iterations of the design-build-test cycle that we could perform. However, by using modelling we have been able to make predictions on how the expressed proteins of our biobricks would behave in an experimental setting. Furthermore, we have been able to feed the model with some data extracted from our own experiments. | ||
| + | </p><br> | ||
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| + | <figure> | ||
| + | <img src="https://static.igem.org/mediawiki/2017/f/f7/T--DTU-Denmark--modelling_design_build_test.png" alt="Design Build Test Cycle"></img> | ||
| + | <figcaption>Figure 1: Classic representation of the design-build-test cycle</figcaption> | ||
| + | </figure> | ||
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</div> | </div> | ||
Revision as of 17:30, 31 October 2017
Modelling
Modeling as an iterative process: The design-build-test cycle
One of the core aspects of synthetic biology is the iterative design-build-test-learn cycle, where the information gained from one experiment is used to design the subsequent experiments.
Within the learn stage of the design-build-test cycle, models can be used as a way to interpret data, and, more crucially, make predictions about the system that can be used in the design stage of the cycle. Modeling is itself an iterative process, where the predictions from the model are used in experiments. Constraints on time have put a limit on the number of iterations of the design-build-test cycle that we could perform. However, by using modelling we have been able to make predictions on how the expressed proteins of our biobricks would behave in an experimental setting. Furthermore, we have been able to feed the model with some data extracted from our own experiments.
