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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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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. |
format | Online Article Text |
id | pubmed-6932767 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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