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CRISP-ID: decoding CRISPR mediated indels by Sanger sequencing
The advent of next generation gene editing technologies has revolutionized the fields of genome engineering in allowing the generation of gene knockout models and functional gene analysis. However, the screening of resultant clones remains challenging due to the simultaneous presence of different in...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929496/ https://www.ncbi.nlm.nih.gov/pubmed/27363488 http://dx.doi.org/10.1038/srep28973 |
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author | Dehairs, Jonas Talebi, Ali Cherifi, Yacine Swinnen, Johannes V. |
author_facet | Dehairs, Jonas Talebi, Ali Cherifi, Yacine Swinnen, Johannes V. |
author_sort | Dehairs, Jonas |
collection | PubMed |
description | The advent of next generation gene editing technologies has revolutionized the fields of genome engineering in allowing the generation of gene knockout models and functional gene analysis. However, the screening of resultant clones remains challenging due to the simultaneous presence of different indels. Here, we present CRISP-ID, a web application which uses a unique algorithm for genotyping up to three alleles from a single Sanger sequencing trace, providing a robust and readily accessible platform to directly identify indels and significantly speed up the characterization of clones. |
format | Online Article Text |
id | pubmed-4929496 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-49294962016-07-06 CRISP-ID: decoding CRISPR mediated indels by Sanger sequencing Dehairs, Jonas Talebi, Ali Cherifi, Yacine Swinnen, Johannes V. Sci Rep Article The advent of next generation gene editing technologies has revolutionized the fields of genome engineering in allowing the generation of gene knockout models and functional gene analysis. However, the screening of resultant clones remains challenging due to the simultaneous presence of different indels. Here, we present CRISP-ID, a web application which uses a unique algorithm for genotyping up to three alleles from a single Sanger sequencing trace, providing a robust and readily accessible platform to directly identify indels and significantly speed up the characterization of clones. Nature Publishing Group 2016-07-01 /pmc/articles/PMC4929496/ /pubmed/27363488 http://dx.doi.org/10.1038/srep28973 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Dehairs, Jonas Talebi, Ali Cherifi, Yacine Swinnen, Johannes V. CRISP-ID: decoding CRISPR mediated indels by Sanger sequencing |
title | CRISP-ID: decoding CRISPR mediated indels by Sanger sequencing |
title_full | CRISP-ID: decoding CRISPR mediated indels by Sanger sequencing |
title_fullStr | CRISP-ID: decoding CRISPR mediated indels by Sanger sequencing |
title_full_unstemmed | CRISP-ID: decoding CRISPR mediated indels by Sanger sequencing |
title_short | CRISP-ID: decoding CRISPR mediated indels by Sanger sequencing |
title_sort | crisp-id: decoding crispr mediated indels by sanger sequencing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4929496/ https://www.ncbi.nlm.nih.gov/pubmed/27363488 http://dx.doi.org/10.1038/srep28973 |
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