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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...

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Detalles Bibliográficos
Autores principales: Crawley, Alexandra B., Henriksen, James R., Barrangou, Rodolphe
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
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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.
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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
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