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“Off-Spotter”: very fast and exhaustive enumeration of genomic lookalikes for designing CRISPR/Cas guide RNAs

Overview of attention for article published in Biology Direct, January 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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2 X users
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1 patent
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3 Wikipedia pages

Citations

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102 Dimensions

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146 Mendeley
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Title
“Off-Spotter”: very fast and exhaustive enumeration of genomic lookalikes for designing CRISPR/Cas guide RNAs
Published in
Biology Direct, January 2015
DOI 10.1186/s13062-015-0035-z
Pubmed ID
Authors

Venetia Pliatsika, Isidore Rigoutsos

Abstract

BackgroundCRISPR/Cas (Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR associated nucleases) is a powerful component of the prokaryotic immune system that has been adapted for targeted genetic engineering in higher organisms. A key element of CRISPR/Cas is the ¿guide¿ RNA (gRNA) that is ~20 nucleotides (nts) in length and designed to be complementary to the intended target site. An integral requirement of the CRISPR/Cas system is that the target site be followed by a protospacer adjacent motif (PAM). Care needs to be exercised during gRNA design to avoid unintended (¿off-target¿) interactions.ResultsWe designed and implemented the Off-Spotter algorithm to assist with the design of optimal gRNAs. When presented with a candidate gRNA sequence and a PAM, Off-Spotter quickly and exhaustively identifies all genomic sites that satisfy the PAM constraint and are identical or nearly-identical to the provided gRNA. Off-Spotter achieves its extreme performance through purely algorithmic means and not through hardware accelerators such as graphical processing units (GPUs). Off-Spotter also allows the user to identify on-the-fly how many and which nucleotides of the gRNA comprise the ¿seed.¿ Off-Spotter¿s output includes a histogram showing the number of potential off-targets as a function of the number of mismatches. The output also includes for each potential off-target the site¿s genomic location, a human genome browser hyperlink to the corresponding location, genomic annotation in the vicinity of the off-target, GC content, etc.ConclusionOff-Spotter is very fast and flexible and can help in the design of optimal gRNAs by providing several PAM choices, a run-time definition of the seed and of the allowed number of mismatches, and a flexible output interface that allows sorting of the results, optional viewing/hiding of columns, etc. A key element of Off-Spotter is that it does not have a rigid definition of the seed: instead, the user can declare both the seed¿s location and extent on-the-fly. We expect that this flexibility in combination with Off-Spotter¿s speed and richly annotated output will enable experimenters to interactively and quickly explore different scenarios and gRNA possibilities.ReviewedThis article was reviewed by Dr Eugene Koonin and Dr Frank Eisenhaber.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Canada 1 <1%
Argentina 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 141 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 23%
Student > Master 21 14%
Student > Bachelor 18 12%
Researcher 17 12%
Student > Doctoral Student 5 3%
Other 14 10%
Unknown 37 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 27%
Biochemistry, Genetics and Molecular Biology 38 26%
Medicine and Dentistry 8 5%
Immunology and Microbiology 4 3%
Computer Science 2 1%
Other 14 10%
Unknown 41 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 January 2023.
All research outputs
#4,369,063
of 25,371,288 outputs
Outputs from Biology Direct
#164
of 537 outputs
Outputs of similar age
#58,049
of 361,607 outputs
Outputs of similar age from Biology Direct
#3
of 8 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 69% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 361,607 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.