Optimized CRISPR guide RNA design for two high-fidelity Cas9 variants by deep learning
Application of highly specific Cas9 variants can be restricted by the design of the guide RNA. Here the authors present DeepHF, a gRNA activity prediction tool built from genome-scale screens of 50,000 guides covering 20,000 genes.
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| Autores principales: | , , , , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2019
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/af6085e1eb2a47c8a310ffae8ee6902f |
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| Sumario: | Application of highly specific Cas9 variants can be restricted by the design of the guide RNA. Here the authors present DeepHF, a gRNA activity prediction tool built from genome-scale screens of 50,000 guides covering 20,000 genes. |
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