AlleleProfileR: A versatile tool to identify and profile sequence variants in edited genomes

被引：4

作者：

Bruyneel, Arne A. N. ^{[1
,2
]}

Colas, Alexandre R. ^{[3
]}

Karakikes, Ioannis ^{[1
,4
]}

Mercola, Mark ^{[1
,2
]}

机构：

[1] Stanford Sch Med, Stanford Cardiovasc Inst, Stanford, CA 94305 USA

[2] Stanford Sch Med, Dept Med, Div Cardiovasc Med, Stanford, CA 94305 USA

[3] Sanford Burnham Prebys Med Discovery Inst, La Jolla, CA USA

[4] Stanford Sch Med, Dept Cardiothorac Surg, Stanford, CA 94305 USA

来源：

PLOS ONE | 2019年 / 14卷 / 12期

基金：

美国国家卫生研究院;

关键词：

DNA; KNOCKOUT; BASE; ANALYZER; GENES; RNA;

D O I：

10.1371/journal.pone.0226694

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：11

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