吞吐量
合成生物学
计算机科学
选择(遗传算法)
高通量筛选
生物
计算生物学
机器学习
生物信息学
电信
无线
作者
Kil Koang Kwon,Jinju Lee,Haseong Kim,Dae-Hee Lee,Dae-Hee Lee
标识
DOI:10.1016/j.coisb.2023.100487
摘要
High-throughput (HT) methodologies are extensively applied in synthetic biology for the rapid enrichment and selection of desired properties from a wide range of genetic diversity. In order to effectively analyze these vast variants, HT tools must offer parallel experiments and compact reaction capabilities to enhance overall throughput. Here, we discuss about various aspects of three representative high-throughput screening (HTS) systems: microwell-, droplet-, and single cell-based screening. These systems can be categorized based on their reaction volume, which in turn determines the associated technology, machinery, and supporting applications. Furthermore, HT techniques that rapidly connects numerous genotypes and phenotypes, have evolved to enhance the precision of predictions through the integration of digital technologies like machine learning and artificial intelligence. The use of advanced HT techniques within biofoundry will enable rapid selection and analysis from extensive genetic diversity, making it a driving force for the advancement of synthetic biology.
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