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Automated high-throughput genome editing platform with an AI learning in situ prediction model
A great number of cell disease models with pathogenic SNVs are needed for the development of genome editing based therapeutics or broadly basic scientific research. However, the generation of traditional cell disease models is heavily dependent on large-scale manual operations, which is not only tim...
| Autores principales: | , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712529/ https://www.ncbi.nlm.nih.gov/pubmed/36450740 http://dx.doi.org/10.1038/s41467-022-35056-0 |