Prediction of efficiencies for diverse prime editing systems in multiple cell types

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Prediction of efficiencies for diverse prime editing systems in multiple cell typesAn approach to identify the best guide RNAs for prime editing that couples insights from high-throughput analysis of >300,000 guide RNAs with deep learning.An approach to identify the best guide RNAs for prime editing that couples insights from high-throughput analysis of >300,000 guide RNAs with deep learning.Goosang Yu, Hui Kwon Kim, Jinman Park, Hyunjong Kwak, Yumin Cheong, Dongyoung Kim, Jiyun Kim, Jisung Kim, Hyongbum Henry Kimhttps://www.cell.com/cell/fulltext/S0092-8674(23)00331-8?rss=yeshttp://www.cell.com/cell/inpress.rssCellCell RSS feed.Wireless News CampaignApril 29, 2023

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