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Machine-learning-optimized Cas12a barcoding enables the recovery of single-cell lineages and transcriptional profiles.
Hughes, Nicholas W; Qu, Yuanhao; Zhang, Jiaqi; Tang, Weijing; Pierce, Justin; Wang, Chengkun; Agrawal, Aditi; Morri, Maurizio; Neff, Norma; Winslow, Monte M; Wang, Mengdi; Cong, Le.
Afiliação
  • Hughes NW; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Wu Tsai Neuroscience Institute, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, US
  • Qu Y; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Zhang J; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Laboratory of Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
  • Tang W; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Pierce J; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Wang C; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Agrawal A; Chan Zuckerberg Biohub, Stanford, CA 94305, USA.
  • Morri M; Chan Zuckerberg Biohub, Stanford, CA 94305, USA.
  • Neff N; Chan Zuckerberg Biohub, Stanford, CA 94305, USA.
  • Winslow MM; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA.
  • Wang M; Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544, USA; Center for Statistics and Machine Learning, Princeton University, Princeton, NJ 08544, USA. Electronic address: mengdiw@princeton.edu.
  • Cong L; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Wu Tsai Neuroscience Institute, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94305, US
Mol Cell ; 82(16): 3103-3118.e8, 2022 08 18.
Article em En | MEDLINE | ID: mdl-35752172
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Código de Barras de DNA Taxonômico / Sistemas CRISPR-Cas Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Código de Barras de DNA Taxonômico / Sistemas CRISPR-Cas Idioma: En Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos