Predictive design of sigma factor-specific promoters

Automated design tools and tailored subunits are beneficial in fine-tuning all components of a complex genetic circuit. Here the authors create E. coli and B. subtilis promoter libraries using FACS and HTS, from which an online promoter design tool has been developed using CNN.

Guardado en:

Detalles Bibliográficos
Autores principales:	Maarten Van Brempt, Jim Clauwaert, Friederike Mey, Michiel Stock, Jo Maertens, Willem Waegeman, Marjan De Mey
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/ae04ea037b8d404a8d08ac51c6a9e3ae
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ae04ea037b8d404a8d08ac51c6a9e3ae
record_format	dspace
spelling	oai:doaj.org-article:ae04ea037b8d404a8d08ac51c6a9e3ae2021-12-02T17:32:58ZPredictive design of sigma factor-specific promoters10.1038/s41467-020-19446-w2041-1723https://doaj.org/article/ae04ea037b8d404a8d08ac51c6a9e3ae2020-11-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19446-whttps://doaj.org/toc/2041-1723Automated design tools and tailored subunits are beneficial in fine-tuning all components of a complex genetic circuit. Here the authors create E. coli and B. subtilis promoter libraries using FACS and HTS, from which an online promoter design tool has been developed using CNN.Maarten Van BremptJim ClauwaertFriederike MeyMichiel StockJo MaertensWillem WaegemanMarjan De MeyNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Maarten Van Brempt Jim Clauwaert Friederike Mey Michiel Stock Jo Maertens Willem Waegeman Marjan De Mey Predictive design of sigma factor-specific promoters
description	Automated design tools and tailored subunits are beneficial in fine-tuning all components of a complex genetic circuit. Here the authors create E. coli and B. subtilis promoter libraries using FACS and HTS, from which an online promoter design tool has been developed using CNN.
format	article
author	Maarten Van Brempt Jim Clauwaert Friederike Mey Michiel Stock Jo Maertens Willem Waegeman Marjan De Mey
author_facet	Maarten Van Brempt Jim Clauwaert Friederike Mey Michiel Stock Jo Maertens Willem Waegeman Marjan De Mey
author_sort	Maarten Van Brempt
title	Predictive design of sigma factor-specific promoters
title_short	Predictive design of sigma factor-specific promoters
title_full	Predictive design of sigma factor-specific promoters
title_fullStr	Predictive design of sigma factor-specific promoters
title_full_unstemmed	Predictive design of sigma factor-specific promoters
title_sort	predictive design of sigma factor-specific promoters
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/ae04ea037b8d404a8d08ac51c6a9e3ae
work_keys_str_mv	AT maartenvanbrempt predictivedesignofsigmafactorspecificpromoters AT jimclauwaert predictivedesignofsigmafactorspecificpromoters AT friederikemey predictivedesignofsigmafactorspecificpromoters AT michielstock predictivedesignofsigmafactorspecificpromoters AT jomaertens predictivedesignofsigmafactorspecificpromoters AT willemwaegeman predictivedesignofsigmafactorspecificpromoters AT marjandemey predictivedesignofsigmafactorspecificpromoters
_version_	1718380141689700352

Predictive design of sigma factor-specific promoters

Ejemplares similares