Predicting prime editing efficiency and product purity by deep learning

Prime editing is a versatile genome editing tool but requires experimental optimization of the prime editing guide RNA (pegRNA) to achieve high editing efficiency. Here, we conducted a high-throughput screen to analyze prime editing outcomes of 92,423 pegRNAs on a highly diverse set of 13,349 human...

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Detalles Bibliográficos
Autores principales: Mathis, Nicolas, Allam, Ahmed, Kissling, Lucas, Marquart, Kim Fabiano, Schmidheini, Lukas, Solari, Cristina, Balázs, Zsolt, Krauthammer, Michael, Schwank, Gerald
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614945/
https://www.ncbi.nlm.nih.gov/pubmed/36646933
http://dx.doi.org/10.1038/s41587-022-01613-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614945/
https://www.ncbi.nlm.nih.gov/pubmed/36646933
http://dx.doi.org/10.1038/s41587-022-01613-7

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