Evidence map›Paper›PMID 30130453›Full record

ArticleRNA biology2019

CRISPR Visualizer: rapid identification and visualization of CRISPR loci via an automated high-throughput processing pipeline.

Matthew A Nethery, Rodolphe Barrangou

Abstract read
In one paragraph

Article in RNA biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Enhanced editing ofApplied and environmental microbiology · 2026
    Article
  4. Characterization of diverse Cas9 orthologs for genome and epigenome editing.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Review
  6. Article
  7. CRISPR typing and phage content of colonizing Group BFrontiers in cellular and infection microbiology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Comparative genomics ofComputational and structural biotechnology journal · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Matthew A Netherya Genomic Sciences Graduate Program , North Carolina State University , Raleigh , NC , USA.ORCID 0000-0003-2959-620X
Rodolphe Barrangoua Genomic Sciences Graduate Program , North Carolina State University , Raleigh , NC , USA.ORCID 0000-0002-0648-3504

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A CRISPR locus, defined by an array of repeat and spacer elements, constitutes a genetic record of the ceaseless battle between bacteria and viruses, showcasing the genomic integration of spacers acquired from invasive DNA. In particular, iterative spacer acquisitions represent unique evolutionary histories and are often useful for high-resolution bacterial genotyping, including comparative analysis of closely related organisms, clonal lineages, and clinical isolates. Current spacer visualization methods are typically tedious and can require manual data manipulation and curation, including spacer extraction at each CRISPR locus from genomes of interest. Here, we constructed a high-throughput extraction pipeline coupled with a local web-based visualization tool which enables CRISPR spacer and repeat extraction, rapid visualization, graphical comparison, and progressive multiple sequence alignment. We present the bioinformatic pipeline and investigate the loci of reference CRISPR-Cas systems and model organisms in 4 well-characterized subtypes. We illustrate how this analysis uncovers the evolutionary tracks and homology shared between various organisms through visual comparison of CRISPR spacers and repeats, driven through progressive alignments. Due to the ability to process unannotated genome files with minimal preparation and curation, this pipeline can be implemented promptly. Overall, this efficient high-throughput solution supports accelerated analysis of genomic data sets and enables and expedites genotyping efforts based on CRISPR loci.

Indexed as

Genetic LociBacteriaBase SequenceComputational BiologyCRISPR-Cas SystemsHigh-Throughput Nucleotide SequencingTime FactorsCRISPR-CasCRISPR spacercrRNArepeat detectionsoftware

Identifiers

PMID30130453
PMCPMC6546387

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.