Summary
The advent of high-throughput protein production and the vast amount of data it is capable of generat ing has created both new opportunities and problems. Automation and miniaturization allow experimen tation to be performed more efficiently, justifying the cost involved in establishing a high-throughput platform. These changes have also magnified the need for effective statistical methods to identify trends and relationships in the data. The application of quantitative management tools to this process provides the means of ensuring maximum efficiency and productivity.
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Chambers, S.P., Swalley, S.E. (2009). Designing Experiments for High-Throughput Protein Expression. In: Doyle, S.A. (eds) High Throughput Protein Expression and Purification. Methods in Molecular Biology, vol 498. Humana Press. https://doi.org/10.1007/978-1-59745-196-3_2
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DOI: https://doi.org/10.1007/978-1-59745-196-3_2
Publisher Name: Humana Press
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