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Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs
The CRISPR-Cas9 system provides unprecedented genome editing capabilities. However, off-target effects lead to sub-optimal usage and additionally are a bottleneck in the development of therapeutic uses. Herein, we introduce the first machine learning-based approach to off-target prediction, yielding...
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| Publicado no: | Nat Biomed Eng |
|---|---|
| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6037314/ https://ncbi.nlm.nih.gov/pubmed/29998038 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41551-017-0178-6 |
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