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...
Autores principales: | , , , , , , |
---|---|
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 |