التفاصيل البيبلوغرافية
| العنوان: |
Predicting prime editing efficiency and product purity by deep learning |
| المؤلفون: |
Mathis, Nicolas, Allam, Ahmed, Kissling, Lucas, Marquart, Kim Fabiano, Schmidheini, Lukas, Solari, Cristina, Balázs, Zsolt, Krauthammer, Michael, Schwank, Gerald |
| المساهمون: |
University of Zurich, Krauthammer, Michael, Schwank, Gerald |
| المصدر: |
Nature Biotechnology. |
| بيانات النشر: |
Springer Science and Business Media LLC, 2023. |
| سنة النشر: |
2023 |
| مصطلحات موضوعية: |
1502 Bioengineering, 1313 Molecular Medicine, 1305 Biotechnology, Biomedical Engineering, 2204 Biomedical Engineering, 2402 Applied Microbiology and Biotechnology, Molecular Medicine, 610 Medicine & health, Bioengineering, 11493 Department of Quantitative Biomedicine, Applied Microbiology and Biotechnology, Biotechnology |
| وصف الملف: |
2023_Nature_Biotech.pdf - application/pdf |
| تدمد: |
1546-1696
1087-0156 |
| الوصول الحر: |
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fe59c087de6a9f196b4579275f9e23efTest
https://doi.org/10.1038/s41587-022-01613-7Test |
| حقوق: |
RESTRICTED |
| رقم الانضمام: |
edsair.doi.dedup.....fe59c087de6a9f196b4579275f9e23ef |
| قاعدة البيانات: |
OpenAIRE |
