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

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 a...

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Detalles Bibliográficos
Autores principales: Bruyneel, Arne A. N., Colas, Alexandre R., Karakikes, Ioannis, Mercola, Mark
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6932767/
https://www.ncbi.nlm.nih.gov/pubmed/31877162
http://dx.doi.org/10.1371/journal.pone.0226694
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author Bruyneel, Arne A. N.
Colas, Alexandre R.
Karakikes, Ioannis
Mercola, Mark
author_facet Bruyneel, Arne A. N.
Colas, Alexandre R.
Karakikes, Ioannis
Mercola, Mark
author_sort Bruyneel, Arne A. N.
collection PubMed
description 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.
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spelling pubmed-69327672020-01-07 AlleleProfileR: A versatile tool to identify and profile sequence variants in edited genomes Bruyneel, Arne A. N. Colas, Alexandre R. Karakikes, Ioannis Mercola, Mark PLoS One Research Article 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. Public Library of Science 2019-12-26 /pmc/articles/PMC6932767/ /pubmed/31877162 http://dx.doi.org/10.1371/journal.pone.0226694 Text en © 2019 Bruyneel et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Bruyneel, Arne A. N.
Colas, Alexandre R.
Karakikes, Ioannis
Mercola, Mark
AlleleProfileR: A versatile tool to identify and profile sequence variants in edited genomes
title AlleleProfileR: A versatile tool to identify and profile sequence variants in edited genomes
title_full AlleleProfileR: A versatile tool to identify and profile sequence variants in edited genomes
title_fullStr AlleleProfileR: A versatile tool to identify and profile sequence variants in edited genomes
title_full_unstemmed AlleleProfileR: A versatile tool to identify and profile sequence variants in edited genomes
title_short AlleleProfileR: A versatile tool to identify and profile sequence variants in edited genomes
title_sort alleleprofiler: a versatile tool to identify and profile sequence variants in edited genomes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6932767/
https://www.ncbi.nlm.nih.gov/pubmed/31877162
http://dx.doi.org/10.1371/journal.pone.0226694
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