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Machine learning-coupled combinatorial mutagenesis enables resource-efficient engineering of CRISPR-Cas9 genome editor activities.
Thean, Dawn G L; Chu, Hoi Yee; Fong, John H C; Chan, Becky K C; Zhou, Peng; Kwok, Cynthia C S; Chan, Yee Man; Mak, Silvia Y L; Choi, Gigi C G; Ho, Joshua W K; Zheng, Zongli; Wong, Alan S L.
Afiliación
  • Thean DGL; Laboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Hong Kong, SAR, China.
  • Chu HY; Laboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Hong Kong, SAR, China.
  • Fong JHC; Centre for Oncology and Immunology Limited, Hong Kong Science Park, Hong Kong, SAR, China.
  • Chan BKC; Laboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Hong Kong, SAR, China.
  • Zhou P; Laboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Hong Kong, SAR, China.
  • Kwok CCS; Centre for Oncology and Immunology Limited, Hong Kong Science Park, Hong Kong, SAR, China.
  • Chan YM; Laboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Hong Kong, SAR, China.
  • Mak SYL; Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR, China.
  • Choi GCG; Laboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Hong Kong, SAR, China.
  • Ho JWK; Ming Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Hong Kong, SAR, China.
  • Zheng Z; Ming Wai Lau Centre for Reparative Medicine, Karolinska Institutet, Hong Kong, SAR, China.
  • Wong ASL; Laboratory of Combinatorial Genetics and Synthetic Biology, School of Biomedical Sciences, The University of Hong Kong, Hong Kong, SAR, China.
Nat Commun ; 13(1): 2219, 2022 04 25.
Article en En | MEDLINE | ID: mdl-35468907
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Bacterianas / Sistemas CRISPR-Cas Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Bacterianas / Sistemas CRISPR-Cas Límite: Humans Idioma: En Revista: Nat Commun Asunto de la revista: BIOLOGIA / CIENCIA Año: 2022 Tipo del documento: Article País de afiliación: China