当前位置: X-MOL 学术Curr. Opin. Chem. Biol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Sequencing enabling design and learning in synthetic biology.
Current Opinion in Chemical Biology ( IF 6.9 ) Pub Date : 2020-08-06 , DOI: 10.1016/j.cbpa.2020.06.002
Pierre-Aurélien Gilliot 1 , Thomas E Gorochowski 2
Affiliation  

The ability to read and quantify nucleic acids such as DNA and RNA using sequencing technologies has revolutionized our understanding of life. With the emergence of synthetic biology, these tools are now being put to work in new ways - enabling de novo biological design. Here, we show how sequencing is supporting the creation of a new wave of biological parts and systems, as well as providing the vast data sets needed for the machine learning of design rules for predictive bioengineering. However, we believe this is only the tip of the iceberg and end by providing an outlook on recent advances that will likely broaden the role of sequencing in synthetic biology and its deployment in real-world environments.

中文翻译:

测序使合成生物学中的设计和学习成为可能。

使用测序技术读取和量化 DNA 和 RNA 等核酸的能力彻底改变了我们对生命的理解。随着合成生物学的出现,这些工具现在正以新的方式发挥作用——实现从头生物设计。在这里,我们展示了测序如何支持新一波生物部件和系统的创建,以及为预测性生物工程设计规则的机器学习提供所需的大量数据集。然而,我们相信这只是冰山一角,并通过提供对最近进展的展望来结束,这些进展可能会扩大测序在合成生物学中的作用及其在现实世界环境中的部署。
更新日期:2020-08-06
down
wechat
bug