Team:Purdue/Project/Robustness
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Taguchi method uses orthogonal arrays to organize the parameters and tests for pairs of combinations of factors to gather data with minimum experiments in order to reduce cost and time. The particular gene of interest is GFP, thus, expression level of fluorescence is used as criteria to predict the most robust combination with least variance. | Taguchi method uses orthogonal arrays to organize the parameters and tests for pairs of combinations of factors to gather data with minimum experiments in order to reduce cost and time. The particular gene of interest is GFP, thus, expression level of fluorescence is used as criteria to predict the most robust combination with least variance. | ||
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+ | <h2>Background</h2> | ||
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+ | One of the overwhelming problems that synthetic biologists face on a daily basis is the variability in genetic constructs. With our ever persistent drive to find a way to develop a standard set of parts for synthetic biology, it is often overlooked that these “standard” parts do not interact the same way that a nut and a bolt do. Sure the threads of each must match for compatibility, but you are guaranteed that a matching set of nuts and bolts will hold together a table just as well as they will hold together a chair, or a piece of metal machinery, or the engine of your car. | ||
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+ | <h2>Experimental Design</h2> | ||
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+ | <h2>Data</h2> | ||
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+ | <h2>Results and Conclusions</h2> | ||
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+ | <h2>Future Work</h2> | ||
</html> | </html> | ||
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Revision as of 18:38, 24 September 2013