Towards a fully automated algorithm driven platform for biosystems design

Existing efforts have been focused on one of the elements in the automation of the design, build, test, and learn (DBTL) cycle for biosystems design. Here, the authors integrate a robotic system with machine learning algorithms to fully automate the DBTL cycle and apply it in optimizing the lycopene...

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Main Authors:	Mohammad HamediRad, Ran Chao, Scott Weisberg, Jiazhang Lian, Saurabh Sinha, Huimin Zhao
Format:	article
Language:	EN
Published:	Nature Portfolio 2019
Subjects:	Science Q
Online Access:	https://doaj.org/article/c33aa7ad3493423c9790600679c12d1e
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id	oai:doaj.org-article:c33aa7ad3493423c9790600679c12d1e
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spelling	oai:doaj.org-article:c33aa7ad3493423c9790600679c12d1e2021-12-02T16:58:19ZTowards a fully automated algorithm driven platform for biosystems design10.1038/s41467-019-13189-z2041-1723https://doaj.org/article/c33aa7ad3493423c9790600679c12d1e2019-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-019-13189-zhttps://doaj.org/toc/2041-1723Existing efforts have been focused on one of the elements in the automation of the design, build, test, and learn (DBTL) cycle for biosystems design. Here, the authors integrate a robotic system with machine learning algorithms to fully automate the DBTL cycle and apply it in optimizing the lycopene biosynthetic pathway.Mohammad HamediRadRan ChaoScott WeisbergJiazhang LianSaurabh SinhaHuimin ZhaoNature PortfolioarticleScienceQENNature Communications, Vol 10, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Mohammad HamediRad Ran Chao Scott Weisberg Jiazhang Lian Saurabh Sinha Huimin Zhao Towards a fully automated algorithm driven platform for biosystems design
description	Existing efforts have been focused on one of the elements in the automation of the design, build, test, and learn (DBTL) cycle for biosystems design. Here, the authors integrate a robotic system with machine learning algorithms to fully automate the DBTL cycle and apply it in optimizing the lycopene biosynthetic pathway.
format	article
author	Mohammad HamediRad Ran Chao Scott Weisberg Jiazhang Lian Saurabh Sinha Huimin Zhao
author_facet	Mohammad HamediRad Ran Chao Scott Weisberg Jiazhang Lian Saurabh Sinha Huimin Zhao
author_sort	Mohammad HamediRad
title	Towards a fully automated algorithm driven platform for biosystems design
title_short	Towards a fully automated algorithm driven platform for biosystems design
title_full	Towards a fully automated algorithm driven platform for biosystems design
title_fullStr	Towards a fully automated algorithm driven platform for biosystems design
title_full_unstemmed	Towards a fully automated algorithm driven platform for biosystems design
title_sort	towards a fully automated algorithm driven platform for biosystems design
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/c33aa7ad3493423c9790600679c12d1e
work_keys_str_mv	AT mohammadhamedirad towardsafullyautomatedalgorithmdrivenplatformforbiosystemsdesign AT ranchao towardsafullyautomatedalgorithmdrivenplatformforbiosystemsdesign AT scottweisberg towardsafullyautomatedalgorithmdrivenplatformforbiosystemsdesign AT jiazhanglian towardsafullyautomatedalgorithmdrivenplatformforbiosystemsdesign AT saurabhsinha towardsafullyautomatedalgorithmdrivenplatformforbiosystemsdesign AT huiminzhao towardsafullyautomatedalgorithmdrivenplatformforbiosystemsdesign
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Towards a fully automated algorithm driven platform for biosystems design

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