Your browser doesn't support javascript.
loading
Predictable and precise template-free CRISPR editing of pathogenic variants.
Shen, Max W; Arbab, Mandana; Hsu, Jonathan Y; Worstell, Daniel; Culbertson, Sannie J; Krabbe, Olga; Cassa, Christopher A; Liu, David R; Gifford, David K; Sherwood, Richard I.
Afiliação
  • Shen MW; Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Arbab M; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Hsu JY; Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
  • Worstell D; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
  • Culbertson SJ; Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA.
  • Krabbe O; Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Cassa CA; Molecular Pathology Unit, Center for Cancer Research, and Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
  • Liu DR; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Gifford DK; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
  • Sherwood RI; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Nature ; 563(7733): 646-651, 2018 11.
Article em En | MEDLINE | ID: mdl-30405244

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Moldes Genéticos / Síndrome de Hermanski-Pudlak / Sistemas CRISPR-Cas / Aprendizado de Máquina / Edição de Genes / Síndrome dos Cabelos Torcidos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Moldes Genéticos / Síndrome de Hermanski-Pudlak / Sistemas CRISPR-Cas / Aprendizado de Máquina / Edição de Genes / Síndrome dos Cabelos Torcidos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article