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...
Enregistré dans:
Auteurs principaux: | Mohammad HamediRad, Ran Chao, Scott Weisberg, Jiazhang Lian, Saurabh Sinha, Huimin Zhao |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Nature Portfolio
2019
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/c33aa7ad3493423c9790600679c12d1e |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Combinatorial metabolic engineering using an orthogonal tri-functional CRISPR system
par: Jiazhang Lian, et autres
Publié: (2017) -
Multi-functional genome-wide CRISPR system for high throughput genotype–phenotype mapping
par: Jiazhang Lian, et autres
Publié: (2019) -
Biosystems engineering
Publié: (2002) -
Aquatic biosystems
Publié: (2012) - Plant biosystems