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Revision as of 02:30, 22 October 2019
Software Conclusions
As shown below, the experimental tests of the software-designed RNA thermometers demonstrated that some could indeed outperform iGEM kit thermometers created through more conventional methods. From this, we can conclude that genetic algorithms are viable methods to design custom RNA thermometers when paired with software such as NuPack which can predict basic properties of RNA thermometers.
In the future, the fitness functions could be better optimized to predict the performance of RNA thermometers. Also, there is a large body on evolutionary algorithms that the software team was not able to explore, some of which may allow for better performance.