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SpCas9 activity prediction by DeepSpCas9, a deep learning–based model with high generalization performance
We evaluated SpCas9 activities at 12,832 target sequences using a high-throughput approach based on a human cell library containing single-guide RNA–encoding and target sequence pairs. Deep learning–based training on this large dataset of SpCas9-induced indel frequencies led to the development of a...
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Association for the Advancement of Science
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6834390/ https://www.ncbi.nlm.nih.gov/pubmed/31723604 http://dx.doi.org/10.1126/sciadv.aax9249 |