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AlleleProfileR: A versatile tool to identify and profile sequence variants in edited genomes.
Bruyneel, Arne A N; Colas, Alexandre R; Karakikes, Ioannis; Mercola, Mark.
Afiliação
  • Bruyneel AAN; Stanford Cardiovascular Institute, Stanford School of Medicine, Stanford, CA United States of America.
  • Colas AR; Department of Medicine, Division of Cardiovascular Medicine, Stanford School of Medicine, Stanford, CA, United States of America.
  • Karakikes I; Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, United States of America.
  • Mercola M; Stanford Cardiovascular Institute, Stanford School of Medicine, Stanford, CA United States of America.
PLoS One ; 14(12): e0226694, 2019.
Article em En | MEDLINE | ID: mdl-31877162
ABSTRACT
Gene editing strategies, such as zinc-finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs), and clustered regularly interspaced short palindromic repeat/Cas9 (CRISPR/Cas9), are revolutionizing biology. However, quantitative and sensitive detection of targeted mutations are required to evaluate and quantify the genome editing outcomes. Here we present AlleleProfileR, a new analysis tool, written in a combination of R and C++, with the ability to batch process the sequence analysis of large and complex genome editing experiments, including the recently developed base editing technologies.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Edição de Genes Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Edição de Genes Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article