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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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| Publicado en: | Nat Biotechnol |
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| Autores principales: | , , , , , , , , , , , , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2019
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| Materias: | |
| 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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