Cargando…

CRISPRdigger: detecting CRISPRs with better direct repeat annotations

Clustered regularly interspaced short palindromic repeats (CRISPRs) are important genetic elements in many bacterial and archaeal genomes, and play a key role in prokaryote immune systems’ fight against invasive foreign elements. The CRISPR system has also been engineered to facilitate target gene e...

Descripción completa

Detalles Bibliográficos
Autores principales: Ge, Ruiquan, Mai, Guoqin, Wang, Pu, Zhou, Manli, Luo, Youxi, Cai, Yunpeng, Zhou, Fengfeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011713/
https://www.ncbi.nlm.nih.gov/pubmed/27596864
http://dx.doi.org/10.1038/srep32942
_version_ 1782451878827655168
author Ge, Ruiquan
Mai, Guoqin
Wang, Pu
Zhou, Manli
Luo, Youxi
Cai, Yunpeng
Zhou, Fengfeng
author_facet Ge, Ruiquan
Mai, Guoqin
Wang, Pu
Zhou, Manli
Luo, Youxi
Cai, Yunpeng
Zhou, Fengfeng
author_sort Ge, Ruiquan
collection PubMed
description Clustered regularly interspaced short palindromic repeats (CRISPRs) are important genetic elements in many bacterial and archaeal genomes, and play a key role in prokaryote immune systems’ fight against invasive foreign elements. The CRISPR system has also been engineered to facilitate target gene editing in eukaryotic genomes. Using the common features of mis-annotated CRISPRs in prokaryotic genomes, this study proposed an accurate de novo CRISPR annotation program CRISPRdigger, which can take a partially assembled genome as its input. A comprehensive comparison with the three existing programs demonstrated that CRISPRdigger can recover more Direct Repeats (DRs) for CRISPRs and achieve a higher accuracy for a query genome. The program was implemented by Perl and all the parameters had default values, so that a user could annotate CRISPRs in a query genome by supplying only a genome sequence in the FASTA format. All the supplementary data are available at http://www.healthinformaticslab.org/supp/.
format Online
Article
Text
id pubmed-5011713
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Nature Publishing Group
record_format MEDLINE/PubMed
spelling pubmed-50117132016-09-12 CRISPRdigger: detecting CRISPRs with better direct repeat annotations Ge, Ruiquan Mai, Guoqin Wang, Pu Zhou, Manli Luo, Youxi Cai, Yunpeng Zhou, Fengfeng Sci Rep Article Clustered regularly interspaced short palindromic repeats (CRISPRs) are important genetic elements in many bacterial and archaeal genomes, and play a key role in prokaryote immune systems’ fight against invasive foreign elements. The CRISPR system has also been engineered to facilitate target gene editing in eukaryotic genomes. Using the common features of mis-annotated CRISPRs in prokaryotic genomes, this study proposed an accurate de novo CRISPR annotation program CRISPRdigger, which can take a partially assembled genome as its input. A comprehensive comparison with the three existing programs demonstrated that CRISPRdigger can recover more Direct Repeats (DRs) for CRISPRs and achieve a higher accuracy for a query genome. The program was implemented by Perl and all the parameters had default values, so that a user could annotate CRISPRs in a query genome by supplying only a genome sequence in the FASTA format. All the supplementary data are available at http://www.healthinformaticslab.org/supp/. Nature Publishing Group 2016-09-06 /pmc/articles/PMC5011713/ /pubmed/27596864 http://dx.doi.org/10.1038/srep32942 Text en Copyright © 2016, The Author(s) 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
Ge, Ruiquan
Mai, Guoqin
Wang, Pu
Zhou, Manli
Luo, Youxi
Cai, Yunpeng
Zhou, Fengfeng
CRISPRdigger: detecting CRISPRs with better direct repeat annotations
title CRISPRdigger: detecting CRISPRs with better direct repeat annotations
title_full CRISPRdigger: detecting CRISPRs with better direct repeat annotations
title_fullStr CRISPRdigger: detecting CRISPRs with better direct repeat annotations
title_full_unstemmed CRISPRdigger: detecting CRISPRs with better direct repeat annotations
title_short CRISPRdigger: detecting CRISPRs with better direct repeat annotations
title_sort crisprdigger: detecting crisprs with better direct repeat annotations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5011713/
https://www.ncbi.nlm.nih.gov/pubmed/27596864
http://dx.doi.org/10.1038/srep32942
work_keys_str_mv AT geruiquan crisprdiggerdetectingcrisprswithbetterdirectrepeatannotations
AT maiguoqin crisprdiggerdetectingcrisprswithbetterdirectrepeatannotations
AT wangpu crisprdiggerdetectingcrisprswithbetterdirectrepeatannotations
AT zhoumanli crisprdiggerdetectingcrisprswithbetterdirectrepeatannotations
AT luoyouxi crisprdiggerdetectingcrisprswithbetterdirectrepeatannotations
AT caiyunpeng crisprdiggerdetectingcrisprswithbetterdirectrepeatannotations
AT zhoufengfeng crisprdiggerdetectingcrisprswithbetterdirectrepeatannotations