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Primer3_masker: integrating masking of template sequence with primer design software.

Overview of attention for article published in Bioinformatics, January 2018
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  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

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2 X users
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1 patent

Citations

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287 Dimensions

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325 Mendeley
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Title
Primer3_masker: integrating masking of template sequence with primer design software.
Published in
Bioinformatics, January 2018
DOI 10.1093/bioinformatics/bty036
Pubmed ID
Authors

Triinu Kõressaar, Maarja Lepamets, Lauris Kaplinski, Kairi Raime, Reidar Andreson, Maido Remm

Abstract

Designing PCR primers for amplifying regions of eukaryotic genomes is a complicated task because the genomes contain a large number of repeat sequences and other regions unsuitable for amplification by PCR. We have developed a novel k-mer based masking method that uses a statistical model to detect and mask failure-prone regions on the DNA template prior to primer design. We implemented the software as a standalone software primer3_masker and integrated it into the primer design program Primer3. The standalone version of primer3_masker is implemented in C. The source code is freely available at https://github.com/bioinfo-ut/primer3_masker/ (standalone version for Linux and macOS) and at https://github.com/primer3-org/primer3/(integrated version). Primer3 web application that allows masking sequences of 196 animal and plant genomes is available at http://primer3.ut.ee/. [email protected]. Supplementary data are available at Bioinformatics online.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 325 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 325 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 18%
Student > Master 49 15%
Student > Bachelor 44 14%
Researcher 35 11%
Other 13 4%
Other 29 9%
Unknown 98 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 92 28%
Agricultural and Biological Sciences 65 20%
Medicine and Dentistry 20 6%
Immunology and Microbiology 11 3%
Computer Science 6 2%
Other 23 7%
Unknown 108 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 August 2022.
All research outputs
#6,281,635
of 23,577,761 outputs
Outputs from Bioinformatics
#4,074
of 9,035 outputs
Outputs of similar age
#125,577
of 444,090 outputs
Outputs of similar age from Bioinformatics
#74
of 165 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 56% 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 444,090 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.