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...

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Detalles Bibliográficos
Autores principales: Li, Siwei, An, Jingjing, Li, Yaqiu, Zhu, Xiagu, Zhao, Dongdong, Wang, Lixian, Sun, Yonghui, Yang, Yuanzhao, Bi, Changhao, Zhang, Xueli, Wang, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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