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Towards a fully automated algorithm driven platform for biosystems design

Large-scale data acquisition and analysis are often required in the successful implementation of the design, build, test, and learn (DBTL) cycle in biosystems design. However, it has long been hindered by experimental cost, variability, biases, and missed insights from traditional analysis methods....

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Dettagli Bibliografici
Pubblicato in:Nat Commun
Autori principali: HamediRad, Mohammad, Chao, Ran, Weisberg, Scott, Lian, Jiazhang, Sinha, Saurabh, Zhao, Huimin
Natura: Artigo
Lingua:Inglês
Pubblicazione: Nature Publishing Group UK 2019
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6853954/
https://ncbi.nlm.nih.gov/pubmed/31723141
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-019-13189-z
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