2016
DOI: 10.1038/srep32942
|View full text |Cite
|
Sign up to set email alerts
|

CRISPRdigger: detecting CRISPRs with better direct repeat annotations

Abstract: 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 ass… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
19
0

Year Published

2018
2018
2024
2024

Publication Types

Select...
8
2

Relationship

0
10

Authors

Journals

citations
Cited by 23 publications
(19 citation statements)
references
References 39 publications
0
19
0
Order By: Relevance
“…Several programs have been developed to identify CRISPR arrays in genomic sequences, the most frequently cited being CRISPRFinder ( 7 ), CRT ( 8 ) and PILER-CR ( 9 ). Additional programs such as CRISPRDetect ( 10 ), CRISPRdigger ( 11 ) and CRF ( 12 ) are also available. Three programs have been proposed for CRISPR array strand prediction based on the characteristics of the CRISPR repeat and the leader: CRISPRDirection using CRISPRDetect ( 10 , 13 ), CRISPRstrand ( 14 , 15 ) and CRISPRleader ( 16 ).…”
Section: Introductionmentioning
confidence: 99%
“…Several programs have been developed to identify CRISPR arrays in genomic sequences, the most frequently cited being CRISPRFinder ( 7 ), CRT ( 8 ) and PILER-CR ( 9 ). Additional programs such as CRISPRDetect ( 10 ), CRISPRdigger ( 11 ) and CRF ( 12 ) are also available. Three programs have been proposed for CRISPR array strand prediction based on the characteristics of the CRISPR repeat and the leader: CRISPRDirection using CRISPRDetect ( 10 , 13 ), CRISPRstrand ( 14 , 15 ) and CRISPRleader ( 16 ).…”
Section: Introductionmentioning
confidence: 99%
“…CRISPR finder Program Online allowed us to acquire the numbers and sequences of repeats and spacers of CRISPRs [27]. The typical repeats of CRISPR were analyzed through multiple sequence alignment using Cluster X software, and the alignments of these repeats were visualized with WebLogo (http://weblogo.berkeley.edu/logo.cgi).…”
Section: Analysis Methodsmentioning
confidence: 99%
“…Carbohydrate-active enzymes were predicted using the carbohydrate-active enzymes database [40]. CRISPRs were identified using CRISPRdigger (version 1.0, https://github.com/ greyspring/CRISPRdigger) [41].…”
Section: Genome Component Prediction and Gene Annotationmentioning
confidence: 99%