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A multiplex primer design algorithm for target amplification of continuous genomic regions

Overview of attention for article published in BMC Bioinformatics, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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9 X users
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3 patents

Citations

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3 Dimensions

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44 Mendeley
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Title
A multiplex primer design algorithm for target amplification of continuous genomic regions
Published in
BMC Bioinformatics, June 2017
DOI 10.1186/s12859-017-1716-7
Pubmed ID
Authors

Ahmet Rasit Ozturk, Tolga Can

Abstract

Targeted Next Generation Sequencing (NGS) assays are cost-efficient and reliable alternatives to Sanger sequencing. For sequencing of very large set of genes, the target enrichment approach is suitable. However, for smaller genomic regions, the target amplification method is more efficient than both the target enrichment method and Sanger sequencing. The major difficulty of the target amplification method is the preparation of amplicons, regarding required time, equipment, and labor. Multiplex PCR (MPCR) is a good solution for the mentioned problems. We propose a novel method to design MPCR primers for a continuous genomic region, following the best practices of clinically reliable PCR design processes. On an experimental setup with 48 different combinations of factors, we have shown that multiple parameters might effect finding the first feasible solution. Increasing the length of the initial primer candidate selection sequence gives better results whereas waiting for a longer time to find the first feasible solution does not have a significant impact. We generated MPCR primer designs for the HBB whole gene, MEFV coding regions, and human exons between 2000 bp to 2100 bp-long. Our benchmarking experiments show that the proposed MPCR approach is able produce reliable NGS assay primers for a given sequence in a reasonable amount of time.

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X Demographics

The data shown below were collected from the profiles of 9 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Germany 1 2%
Unknown 42 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 14%
Student > Master 5 11%
Other 4 9%
Researcher 4 9%
Student > Ph. D. Student 4 9%
Other 9 20%
Unknown 12 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 25%
Agricultural and Biological Sciences 11 25%
Computer Science 3 7%
Immunology and Microbiology 2 5%
Unspecified 1 2%
Other 2 5%
Unknown 14 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 08 November 2022.
All research outputs
#2,425,530
of 24,532,617 outputs
Outputs from BMC Bioinformatics
#638
of 7,551 outputs
Outputs of similar age
#45,421
of 321,038 outputs
Outputs of similar age from BMC Bioinformatics
#11
of 116 outputs
Altmetric has tracked 24,532,617 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,551 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 particularly well, scoring higher than 91% 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 321,038 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 85% of its contemporaries.
We're also able to compare this research output to 116 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.