التفاصيل البيبلوغرافية
| العنوان: |
Ensemble Detection of DNA Engineering Signatures |
| المؤلفون: |
Aaron Adler, Joel S. Bader, Brian Basnight, Benjamin W. Booth, Jitong Cai, Elizabeth Cho, Joseph H. Collins, Yuchen Ge, John Grothendieck, Kevin Keating, Tyler Marshall, Anton Persikov, Helen Scott, Roy Siegelmann, Mona Singh, Allison Taggart, Benjamin Toll, Kenneth H. Wan, Daniel Wyschogrod, Fusun Yaman, Eric M. Young, Susan E. Celniker, Nicholas Roehner |
| سنة النشر: |
2024 |
| المجموعة: |
Smithsonian Institution: Figshare |
| مصطلحات موضوعية: |
Molecular Biology, Pharmacology, Biotechnology, Science Policy, Plant Biology, Space Science, Information Systems not elsewhere classified, subject matter expert, 13 target organisms, ensembling enables guardian, detect sequence inserts, automatically detect signatures, dna sequencing data, system called guardian, ensemble approach based, guardian uses, system using, single approach, ensemble detection, data set, detect engineering, potential comes, perfect accuracy, increasing rate, high degree, guiding principle, curated test, blinded test, accidental release |
| الوصف: |
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. |
| نوع الوثيقة: |
dataset |
| اللغة: |
unknown |
| العلاقة: |
https://figshare.com/articles/dataset/Ensemble_Detection_of_DNA_Engineering_Signatures/25390909Test |
| DOI: |
10.1021/acssynbio.3c00398.s001 |
| الإتاحة: |
https://doi.org/10.1021/acssynbio.3c00398.s001Test |
| حقوق: |
CC BY-NC 4.0 |
| رقم الانضمام: |
edsbas.A7C42D8B |
| قاعدة البيانات: |
BASE |
