Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 561139
Title CRISPRDetect: A flexible algorithm to define CRISPR arrays
Author(s) Biswas, Ambarish; Staals, Raymond H.J.; Morales, Sergio E.; Fineran, Peter C.; Brown, Chris M.
Source BMC Genomics 17 (2016)1. - ISSN 1471-2164
Publication type Refereed Article in a scientific journal
Publication year 2016
Keyword(s) Bioinformatics - Cas - CRISPR - CrRNA - Horizontal gene transfer - Phage resistance - Plasmids - Repeat elements - Small RNA targets

Background: CRISPR (clustered regularly interspaced short palindromic repeats) RNAs provide the specificity for noncoding RNA-guided adaptive immune defence systems in prokaryotes. CRISPR arrays consist of repeat sequences separated by specific spacer sequences. CRISPR arrays have previously been identified in a large proportion of prokaryotic genomes. However, currently available detection algorithms do not utilise recently discovered features regarding CRISPR loci. Results: We have developed a new approach to automatically detect, predict and interactively refine CRISPR arrays. It is available as a web program and command line from CRISPRDetect discovers putative arrays, extends the array by detecting additional variant repeats, corrects the direction of arrays, refines the repeat/spacer boundaries, and annotates different types of sequence variations (e.g. insertion/deletion) in near identical repeats. Due to these features, CRISPRDetect has significant advantages when compared to existing identification tools. As well as further support for small medium and large repeats, CRISPRDetect identified a class of arrays with 'extra-large' repeats in bacteria (repeats 44-50 nt). The CRISPRDetect output is integrated with other analysis tools. Notably, the predicted spacers can be directly utilised by CRISPRTarget to predict targets. Conclusion: CRISPRDetect enables more accurate detection of arrays and spacers and its gff output is suitable for inclusion in genome annotation pipelines and visualisation. It has been used to analyse all complete bacterial and archaeal reference genomes.

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