Precise engineering of biological systems requires quantitative, high-throughput measurements, exemplified by progress in directed evolution. New approaches allow high-throughput measurements of phenotypes and their corresponding genotypes. When integrated into directed evolution, these quantitative approaches enable the precise engineering of biological function. At the same time, the increasingly routine availability of large, high-quality data sets supports the integration of machine learning with directed evolution. Together, these advances herald striking capabilities for engineering biology.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8489032 | PMC |
| http://dx.doi.org/10.1016/j.coisb.2020.09.004 | DOI Listing |
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