Difference between revisions of "Team:Manchester/Measurement"

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Design of Experiments (DoE) is a statistical method that allowed us to design the most efficient experiments to determine the factors that influence the expression of our PPK enzyme and the expression of our Eut (microcompartment) proteins. By using DoE, we can efficiently explore a very large experimental space in a small number of experiments, allowing us to test multiple hypotheses at once in a rapid and robust manner. Performing our measurements using the statistical tools of DoE allowed us to develop an improved understanding of the experimental factors affecting protein expression in the Phosphostore system, within the limited time frame available for an iGEM project.
 
Design of Experiments (DoE) is a statistical method that allowed us to design the most efficient experiments to determine the factors that influence the expression of our PPK enzyme and the expression of our Eut (microcompartment) proteins. By using DoE, we can efficiently explore a very large experimental space in a small number of experiments, allowing us to test multiple hypotheses at once in a rapid and robust manner. Performing our measurements using the statistical tools of DoE allowed us to develop an improved understanding of the experimental factors affecting protein expression in the Phosphostore system, within the limited time frame available for an iGEM project.
 
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Other variations of DoE allow through mapping of the experimental space, which would allow rapid characterisation of parts in a broad range of conditions. Thorough characterisation of parts using DoE-based methodology can allow accurate predictions of part behaviour in variable conditions.  
 
Other variations of DoE allow through mapping of the experimental space, which would allow rapid characterisation of parts in a broad range of conditions. Thorough characterisation of parts using DoE-based methodology can allow accurate predictions of part behaviour in variable conditions.  
 
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<a href="https://2017.igem.org/Team:Manchester/Model/DoE">here <b> To see how we optimised expression of one of our parts using DoE, click here</b></a>
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<a href="https://2017.igem.org/Team:Manchester/Model/DoE"><b> To see how we optimised expression of one of our parts using DoE, click here</b></a>
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Revision as of 03:31, 2 November 2017

Measurements


Design of Experiments (DoE) is a statistical method that allowed us to design the most efficient experiments to determine the factors that influence the expression of our PPK enzyme and the expression of our Eut (microcompartment) proteins. By using DoE, we can efficiently explore a very large experimental space in a small number of experiments, allowing us to test multiple hypotheses at once in a rapid and robust manner. Performing our measurements using the statistical tools of DoE allowed us to develop an improved understanding of the experimental factors affecting protein expression in the Phosphostore system, within the limited time frame available for an iGEM project.

Other variations of DoE allow through mapping of the experimental space, which would allow rapid characterisation of parts in a broad range of conditions. Thorough characterisation of parts using DoE-based methodology can allow accurate predictions of part behaviour in variable conditions.

To see how we optimised expression of one of our parts using DoE, click here