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
prolekare.web.journal.doi_sk:
https://doi.org/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:
Genome analysis – Sequence alignment – Point mutation – Embryos – Genome complexity – CRISPR – Non-homologous end joining – Zinc finger nucleases
Zdroje
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