Cargando…
CRISPRdisco: An Automated Pipeline for the Discovery and Analysis of CRISPR-Cas Systems
CRISPR-Cas adaptive immune systems of bacteria and archaea have catapulted into the scientific spotlight as genome editing tools. To aid researchers in the field, we have developed an automated pipeline, named CRISPRdisco (CRISPR discovery), to identify CRISPR repeats and cas genes in genome assembl...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Mary Ann Liebert, Inc.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636876/ https://www.ncbi.nlm.nih.gov/pubmed/31021201 http://dx.doi.org/10.1089/crispr.2017.0022 |
_version_ | 1783436133174083584 |
---|---|
author | Crawley, Alexandra B. Henriksen, James R. Barrangou, Rodolphe |
author_facet | Crawley, Alexandra B. Henriksen, James R. Barrangou, Rodolphe |
author_sort | Crawley, Alexandra B. |
collection | PubMed |
description | CRISPR-Cas adaptive immune systems of bacteria and archaea have catapulted into the scientific spotlight as genome editing tools. To aid researchers in the field, we have developed an automated pipeline, named CRISPRdisco (CRISPR discovery), to identify CRISPR repeats and cas genes in genome assemblies, determine type and subtype, and describe system completeness. All six major types and 23 currently recognized subtypes and novel putative V-U types are detected. Here, we use the pipeline to identify and classify putative CRISPR-Cas systems in 2,777 complete genomes from the NCBI RefSeq database. This allows comparison to previous publications and investigation of the occurrence and size of CRISPR-Cas systems. Software available at http://github.com/crisprlab/CRISPRdisco provides reproducible, standardized, accessible, transparent, and high-throughput analysis methods available to all researchers in and beyond the CRISPR-Cas research community. This tool opens new avenues to enable classification within a complex nomenclature and provides analytical methods in a field that has evolved rapidly. |
format | Online Article Text |
id | pubmed-6636876 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Mary Ann Liebert, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66368762019-08-20 CRISPRdisco: An Automated Pipeline for the Discovery and Analysis of CRISPR-Cas Systems Crawley, Alexandra B. Henriksen, James R. Barrangou, Rodolphe CRISPR J Research Articles CRISPR-Cas adaptive immune systems of bacteria and archaea have catapulted into the scientific spotlight as genome editing tools. To aid researchers in the field, we have developed an automated pipeline, named CRISPRdisco (CRISPR discovery), to identify CRISPR repeats and cas genes in genome assemblies, determine type and subtype, and describe system completeness. All six major types and 23 currently recognized subtypes and novel putative V-U types are detected. Here, we use the pipeline to identify and classify putative CRISPR-Cas systems in 2,777 complete genomes from the NCBI RefSeq database. This allows comparison to previous publications and investigation of the occurrence and size of CRISPR-Cas systems. Software available at http://github.com/crisprlab/CRISPRdisco provides reproducible, standardized, accessible, transparent, and high-throughput analysis methods available to all researchers in and beyond the CRISPR-Cas research community. This tool opens new avenues to enable classification within a complex nomenclature and provides analytical methods in a field that has evolved rapidly. Mary Ann Liebert, Inc. 2018-04-01 2018-04-01 /pmc/articles/PMC6636876/ /pubmed/31021201 http://dx.doi.org/10.1089/crispr.2017.0022 Text en © Alexandra B. Crawley et al. 2018; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are cited. |
spellingShingle | Research Articles Crawley, Alexandra B. Henriksen, James R. Barrangou, Rodolphe CRISPRdisco: An Automated Pipeline for the Discovery and Analysis of CRISPR-Cas Systems |
title | CRISPRdisco: An Automated Pipeline for the Discovery and Analysis of CRISPR-Cas Systems |
title_full | CRISPRdisco: An Automated Pipeline for the Discovery and Analysis of CRISPR-Cas Systems |
title_fullStr | CRISPRdisco: An Automated Pipeline for the Discovery and Analysis of CRISPR-Cas Systems |
title_full_unstemmed | CRISPRdisco: An Automated Pipeline for the Discovery and Analysis of CRISPR-Cas Systems |
title_short | CRISPRdisco: An Automated Pipeline for the Discovery and Analysis of CRISPR-Cas Systems |
title_sort | crisprdisco: an automated pipeline for the discovery and analysis of crispr-cas systems |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6636876/ https://www.ncbi.nlm.nih.gov/pubmed/31021201 http://dx.doi.org/10.1089/crispr.2017.0022 |
work_keys_str_mv | AT crawleyalexandrab crisprdiscoanautomatedpipelineforthediscoveryandanalysisofcrisprcassystems AT henriksenjamesr crisprdiscoanautomatedpipelineforthediscoveryandanalysisofcrisprcassystems AT barrangourodolphe crisprdiscoanautomatedpipelineforthediscoveryandanalysisofcrisprcassystems |