Model-driven generation of artificial yeast promoters
A small set of promoters is used for most genetic construct design in S. cerevisiae. Here, the authors develop a predictive model of promoter activity trained on a data set of over one million sequences and use it to design large sets of high-activity promoters.
Guardado en:
Autores principales: | Benjamin J. Kotopka, Christina D. Smolke |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2020
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Materias: | |
Acceso en línea: | https://doaj.org/article/60f4d5679ca14b2e8e6f8ec1bb4c67b7 |
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