sgRNA Scorer 2.0: A Species-Independent Model To Predict CRISPR/Cas9 Activity.

Chari, Raj; Yeo, Nan Cher; Chavez, Alejandro; Church, George M

Chari, Raj; Yeo, Nan Cher; Chavez, Alejandro; Church, George M.

Afiliação

Chari R; Department of Genetics, Harvard Medical School , Boston, Massachusetts 02115, United States.
Yeo NC; Department of Genetics, Harvard Medical School , Boston, Massachusetts 02115, United States.
Chavez A; Wyss Institute for Biologically Inspired Engineering, Harvard University , Boston, Massachusetts 02115, United States.
Church GM; Department of Genetics, Harvard Medical School , Boston, Massachusetts 02115, United States.

ACS Synth Biol ; 6(5): 902-904, 2017 05 19.

Article em En | MEDLINE | ID: mdl-28146356

Assuntos

Sistemas CRISPR-Cas/fisiologia; Engenharia Genética/métodos; Algoritmos; Proteínas de Bactérias/genética; Proteínas de Bactérias/metabolismo; Sistemas CRISPR-Cas/genética; RNA Guia de Cinetoplastídeos/genética; Staphylococcus aureus/genética; Staphylococcus aureus/metabolismo; Streptococcus pyogenes/genética; Streptococcus pyogenes/metabolismo

Palavras-chave

CRISPR; Cas9; genome engineering; sgRNA activity prediction; sgRNA scorer

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Engenharia Genética / Sistemas CRISPR-Cas Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2017 Tipo de documento: Article

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