Automation, Optimization, and Characterization of Adaptive Laboratory Evolution

Autor: LaCroix, Ryan Alan

Publikováno v: LaCroix, Ryan Alan. (2016). Automation, Optimization, and Characterization of Adaptive Laboratory Evolution. UC San Diego: Bioengineering. Retrieved from: http://www.escholarship.org/uc/item/95b8416q

Adaptive laboratory evolution (ALE) has emerged as an effective tool for scientific discovery and addressing biotechnological needs. A typical ALE experiment requires significant attention over the course of the experiment and can last up to months.

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