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Large dataset enables prediction of repair after CRISPR-Cas9 editing in primary T cells.

Our understanding of repair outcomes after Cas9-induced DNA cleavage is still limited, especially in primary human cells. We sequence repair outcomes at 1,656 on-target genomic sites in primary human T cells and use these data to train a machine learning model, CRISPR Repair OUTcome (SPROUT). SPROUT...

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Detalles Bibliográficos
Publicado en:Nat Biotechnol
Autores principales: Leenay, Ryan T., Aghazadeh, Amirali, Hiatt, Joseph, Tse, David, Roth, Theodore L., Apathy, Ryan, Shifrut, Eric, Hultquist, Judd F., Krogan, Nevan, Wu, Zhenqin, Cirolia, Giana, Canaj, Hera, Leonetti, Manuel D., Marson, Alexander, May, Andrew P., Zou, James
Formato: Artigo
Lenguaje:Inglês
Publicado: 2019
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Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC7388783/
https://ncbi.nlm.nih.gov/pubmed/31359007
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41587-019-0203-2
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