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PhytoCRISP-Ex: a web-based and stand-alone application to find specific target sequences for CRISPR/CAS editing

Overview of attention for article published in BMC Bioinformatics, July 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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12 X users
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1 Facebook page

Citations

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95 Mendeley
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Title
PhytoCRISP-Ex: a web-based and stand-alone application to find specific target sequences for CRISPR/CAS editing
Published in
BMC Bioinformatics, July 2016
DOI 10.1186/s12859-016-1143-1
Pubmed ID
Authors

Achal Rastogi, Omer Murik, Chris Bowler, Leila Tirichine

Abstract

With the emerging interest in phytoplankton research, the need to establish genetic tools for the functional characterization of genes is indispensable. The CRISPR/Cas9 system is now well recognized as an efficient and accurate reverse genetic tool for genome editing. Several computational tools have been published allowing researchers to find candidate target sequences for the engineering of the CRISPR vectors, while searching possible off-targets for the predicted candidates. These tools provide built-in genome databases of common model organisms that are used for CRISPR target prediction. Although their predictions are highly sensitive, the applicability to non-model genomes, most notably protists, makes their design inadequate. This motivated us to design a new CRISPR target finding tool, PhytoCRISP-Ex. Our software offers CRIPSR target predictions using an extended list of phytoplankton genomes and also delivers a user-friendly standalone application that can be used for any genome. The software attempts to integrate, for the first time, most available phytoplankton genomes information and provide a web-based platform for Cas9 target prediction within them with high sensitivity. By offering a standalone version, PhytoCRISP-Ex maintains an independence to be used with any organism and widens its applicability in high throughput pipelines. PhytoCRISP-Ex out pars all the existing tools by computing the availability of restriction sites over the most probable Cas9 cleavage sites, which can be ideal for mutant screens. PhytoCRISP-Ex is a simple, fast and accurate web interface with 13 pre-indexed and presently updating phytoplankton genomes. The software was also designed as a UNIX-based standalone application that allows the user to search for target sequences in the genomes of a variety of other species.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 1%
Italy 1 1%
Argentina 1 1%
Unknown 90 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 22%
Student > Ph. D. Student 18 19%
Student > Master 12 13%
Student > Bachelor 7 7%
Student > Postgraduate 5 5%
Other 13 14%
Unknown 19 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 29%
Biochemistry, Genetics and Molecular Biology 25 26%
Computer Science 3 3%
Engineering 3 3%
Medicine and Dentistry 2 2%
Other 8 8%
Unknown 26 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 12 July 2016.
All research outputs
#4,890,016
of 23,881,329 outputs
Outputs from BMC Bioinformatics
#1,812
of 7,454 outputs
Outputs of similar age
#84,473
of 355,903 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 86 outputs
Altmetric has tracked 23,881,329 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,454 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 75% 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 355,903 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 76% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.