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Ensemble Detection of DNA Engineering Signatures
ACS Synthetic Biology ( IF 4.7 ) Pub Date : 2024-03-12 , DOI: 10.1021/acssynbio.3c00398
Aaron Adler 1 , Joel S. Bader 2 , Brian Basnight 1 , Benjamin W. Booth 3 , Jitong Cai 2 , Elizabeth Cho 2 , Joseph H. Collins 4 , Yuchen Ge 2 , John Grothendieck 1 , Kevin Keating 4 , Tyler Marshall 1 , Anton Persikov 5 , Helen Scott 1 , Roy Siegelmann 2 , Mona Singh 5 , Allison Taggart 1 , Benjamin Toll 1 , Kenneth H. Wan 3 , Daniel Wyschogrod 1 , Fusun Yaman 1 , Eric M. Young 4 , Susan E. Celniker 3 , Nicholas Roehner 1
Affiliation  

Synthetic biology is creating genetically engineered organisms at an increasing rate for many potentially valuable applications, but this potential comes with the risk of misuse or accidental release. To begin to address this issue, we have developed a system called GUARDIAN that can automatically detect signatures of engineering in DNA sequencing data, and we have conducted a blinded test of this system using a curated Test and Evaluation (T&E) data set. GUARDIAN uses an ensemble approach based on the guiding principle that no single approach is likely to be able to detect engineering with perfect accuracy. Critically, ensembling enables GUARDIAN to detect sequence inserts in 13 target organisms with a high degree of specificity that requires no subject matter expert (SME) review.

中文翻译:

DNA 工程特征的整体检测

合成生物学正在以越来越快的速度创造出基因工程生物体,以实现许多潜在的有价值的应用,但这种潜力伴随着误用或意外释放的风险。为了开始解决这个问题,我们开发了一个名为 GUARDIAN 的系统,可以自动检测 DNA 测序数据中的工程特征,并且我们使用精心策划的测试和评估 (T&E) 数据集对该系统进行了盲测。 GUARDIAN 使用基于以下指导原则的集成方法:没有任何单一方法可能能够以完美的精度检测工程。至关重要的是,集成使 GUARDIAN 能够以高度特异性检测 13 种目标生物体中的序列插入,无需主题专家 (SME) 审查。
更新日期:2024-03-12
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