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


Autoři: Arne A. N. Bruyneel aff001;  Alexandre R. Colas aff003;  Ioannis Karakikes aff001;  Mark Mercola aff001
Působiště autorů: Stanford Cardiovascular Institute, Stanford School of Medicine, Stanford, CA United States of America aff001;  Department of Medicine, Division of Cardiovascular Medicine, Stanford School of Medicine, Stanford, CA, United States of America aff002;  Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, United States of America aff003;  Department of Cardiothoracic Surgery, Stanford School of Medicine, Stanford, CA, United States of America aff004
Vyšlo v časopise: PLoS ONE 14(12)
Kategorie: Research Article
doi: 10.1371/journal.pone.0226694

Souhrn

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.

Klíčová slova:

CRISPR – Embryos – Genome analysis – Genome complexity – Non-homologous end joining – Point mutation – Sequence alignment – Zinc finger nucleases


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Článek vyšel v časopise

PLOS One


2019 Číslo 12