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High throughput PRIME editing screens identify functional DNA variants in the human genome.
Ren, Xingjie; Yang, Han; Nierenberg, Jovia L; Sun, Yifan; Chen, Jiawen; Beaman, Cooper; Pham, Thu; Nobuhara, Mai; Takagi, Maya Asami; Narayan, Vivek; Li, Yun; Ziv, Elad; Shen, Yin.
Afiliación
  • Ren X; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
  • Yang H; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
  • Nierenberg JL; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
  • Sun Y; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
  • Chen J; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Beaman C; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
  • Pham T; Pharmaceutical Sciences and Pharmacogenomics Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
  • Nobuhara M; Pharmaceutical Sciences and Pharmacogenomics Graduate Program, University of California, San Francisco, San Francisco, CA, USA.
  • Takagi MA; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
  • Narayan V; Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
  • Li Y; Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA.
  • Ziv E; Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.
  • Shen Y; Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA.
bioRxiv ; 2023 Jul 12.
Article en En | MEDLINE | ID: mdl-37502948
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos