Predicting prime editing efficiency and product purity by deep learning.

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Title: Predicting prime editing efficiency and product purity by deep learning.
Authors: Mathis, Nicolas1 (AUTHOR), Allam, Ahmed2 (AUTHOR), Kissling, Lucas1 (AUTHOR), Marquart, Kim Fabiano1,3 (AUTHOR), Schmidheini, Lukas1,3 (AUTHOR), Solari, Cristina1 (AUTHOR), Balázs, Zsolt2 (AUTHOR), Krauthammer, Michael2 (AUTHOR) michael.krauthammer@uzh.ch, Schwank, Gerald1 (AUTHOR) schwank@pharma.uzh.ch
Source: Nature Biotechnology. Aug2023, Vol. 41 Issue 8, p1151-1159. 9p.
Database: Environment Complete
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  Data: Predicting prime editing efficiency and product purity by deep learning.
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  Data: <searchLink fieldCode="JN" term="%22Nature+Biotechnology%22">Nature Biotechnology</searchLink>. Aug2023, Vol. 41 Issue 8, p1151-1159. 9p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=169912216
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        Value: 10.1038/s41587-022-01613-7
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