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Simple and Efficient Targeting of Multiple Genes Through CRISPR-Cas9 in Physcomitrella patens.
Lopez-Obando, Mauricio; Hoffmann, Beate; Géry, Carine; Guyon-Debast, Anouchka; Téoulé, Evelyne; Rameau, Catherine; Bonhomme, Sandrine; Nogué, Fabien.
Afiliação
  • Lopez-Obando M; Institut Jean-Pierre Bourgin, National Institute for Agricultural Research, AgroParisTech, Centre National de la Recherche Scientifique, Université Paris-Saclay, 78000 Versailles, France.
  • Hoffmann B; Institut Jean-Pierre Bourgin, National Institute for Agricultural Research, AgroParisTech, Centre National de la Recherche Scientifique, Université Paris-Saclay, 78000 Versailles, France.
  • Géry C; Institut Jean-Pierre Bourgin, National Institute for Agricultural Research, AgroParisTech, Centre National de la Recherche Scientifique, Université Paris-Saclay, 78000 Versailles, France.
  • Guyon-Debast A; Institut Jean-Pierre Bourgin, National Institute for Agricultural Research, AgroParisTech, Centre National de la Recherche Scientifique, Université Paris-Saclay, 78000 Versailles, France.
  • Téoulé E; Institut Jean-Pierre Bourgin, National Institute for Agricultural Research, AgroParisTech, Centre National de la Recherche Scientifique, Université Paris-Saclay, 78000 Versailles, France.
  • Rameau C; Université Pierre et Marie Curie, Sorbonne Universités, 75005 Paris, France.
  • Bonhomme S; Institut Jean-Pierre Bourgin, National Institute for Agricultural Research, AgroParisTech, Centre National de la Recherche Scientifique, Université Paris-Saclay, 78000 Versailles, France.
  • Nogué F; Institut Jean-Pierre Bourgin, National Institute for Agricultural Research, AgroParisTech, Centre National de la Recherche Scientifique, Université Paris-Saclay, 78000 Versailles, France sandrine.bonhomme@versailles.inra.fr fabien.nogue@versailles.inra.fr.
G3 (Bethesda) ; 6(11): 3647-3653, 2016 Nov 08.
Article em En | MEDLINE | ID: mdl-27613750
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2016 Tipo de documento: Article