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Accurate analysis of genuine CRISPR editing events with ampliCan

We present ampliCan, an analysis tool for genome editing that unites highly precise quantification and visualization of genuine genome editing events. ampliCan features nuclease-optimized alignments, filtering of experimental artifacts, event-specific normalization, and off-target read detection and...

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Detalles Bibliográficos
Autores principales: Labun, Kornel, Guo, Xiaoge, Chavez, Alejandro, Church, George, Gagnon, James A., Valen, Eivind
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499316/
https://www.ncbi.nlm.nih.gov/pubmed/30850374
http://dx.doi.org/10.1101/gr.244293.118
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author Labun, Kornel
Guo, Xiaoge
Chavez, Alejandro
Church, George
Gagnon, James A.
Valen, Eivind
author_facet Labun, Kornel
Guo, Xiaoge
Chavez, Alejandro
Church, George
Gagnon, James A.
Valen, Eivind
author_sort Labun, Kornel
collection PubMed
description We present ampliCan, an analysis tool for genome editing that unites highly precise quantification and visualization of genuine genome editing events. ampliCan features nuclease-optimized alignments, filtering of experimental artifacts, event-specific normalization, and off-target read detection and quantifies insertions, deletions, HDR repair, as well as targeted base editing. It is scalable to thousands of amplicon sequencing–based experiments from any genome editing experiment, including CRISPR. It enables automated integration of controls and accounts for biases at every step of the analysis. We benchmarked ampliCan on both real and simulated data sets against other leading tools, demonstrating that it outperformed all in the face of common confounding factors.
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spelling pubmed-64993162019-05-17 Accurate analysis of genuine CRISPR editing events with ampliCan Labun, Kornel Guo, Xiaoge Chavez, Alejandro Church, George Gagnon, James A. Valen, Eivind Genome Res Method We present ampliCan, an analysis tool for genome editing that unites highly precise quantification and visualization of genuine genome editing events. ampliCan features nuclease-optimized alignments, filtering of experimental artifacts, event-specific normalization, and off-target read detection and quantifies insertions, deletions, HDR repair, as well as targeted base editing. It is scalable to thousands of amplicon sequencing–based experiments from any genome editing experiment, including CRISPR. It enables automated integration of controls and accounts for biases at every step of the analysis. We benchmarked ampliCan on both real and simulated data sets against other leading tools, demonstrating that it outperformed all in the face of common confounding factors. Cold Spring Harbor Laboratory Press 2019-05 /pmc/articles/PMC6499316/ /pubmed/30850374 http://dx.doi.org/10.1101/gr.244293.118 Text en © 2019 Labun et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by/4.0/ This article, published in Genome Research, is available under a Creative Commons License (Attribution 4.0 International), as described at http://creativecommons.org/licenses/by/4.0/.
spellingShingle Method
Labun, Kornel
Guo, Xiaoge
Chavez, Alejandro
Church, George
Gagnon, James A.
Valen, Eivind
Accurate analysis of genuine CRISPR editing events with ampliCan
title Accurate analysis of genuine CRISPR editing events with ampliCan
title_full Accurate analysis of genuine CRISPR editing events with ampliCan
title_fullStr Accurate analysis of genuine CRISPR editing events with ampliCan
title_full_unstemmed Accurate analysis of genuine CRISPR editing events with ampliCan
title_short Accurate analysis of genuine CRISPR editing events with ampliCan
title_sort accurate analysis of genuine crispr editing events with amplican
topic Method
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6499316/
https://www.ncbi.nlm.nih.gov/pubmed/30850374
http://dx.doi.org/10.1101/gr.244293.118
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