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High-throughput PCR assay design for targeted resequencing using primerXL

Overview of attention for article published in BMC Bioinformatics, September 2017
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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Title
High-throughput PCR assay design for targeted resequencing using primerXL
Published in
BMC Bioinformatics, September 2017
DOI 10.1186/s12859-017-1809-3
Pubmed ID
Authors

Steve Lefever, Filip Pattyn, Bram De Wilde, Frauke Coppieters, Sarah De Keulenaer, Jan Hellemans, Jo Vandesompele

Abstract

Although the sequencing landscape is rapidly evolving and sequencing costs are continuously decreasing, whole genome sequencing is still too expensive for use on a routine basis. Targeted resequencing of only the regions of interest decreases both costs and the complexity of the downstream data-analysis. Various target enrichment strategies are available, but none of them obtain the degree of coverage uniformity, flexibility and specificity of PCR-based enrichment. On the other hand, the biggest limitation of target enrichment by PCR is the need to design large numbers of partially overlapping assays to cover the target. To overcome the aforementioned hurdles, we have developed primerXL, a state-of-the-art PCR primer design pipeline for targeted resequencing. It uses an optimized design criteria relaxation cascade and a thorough downstream in silico evaluation process to generate high quality singleplex PCR assays, reducing the need for amplicon normalization, and outperforming other target enrichment strategies and similar primer design tools when considering assay quality, coverage uniformity and target coverage. Results of four different sequencing projects with 2348 amplicons in total covering 470 kb are presented. PrimerXL can be accessed at www.primerxl.org . PrimerXL is an state-of-the-art, easy to use primer design webtool capable of generating high-quality targeted resequencing assays. The workflow is fully customizable to suit every researchers' needs, while an innovative relaxation cascade ensures maximal target coverage.

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X Demographics

The data shown below were collected from the profiles of 7 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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 23%
Student > Bachelor 5 13%
Other 4 10%
Student > Master 3 8%
Student > Ph. D. Student 3 8%
Other 4 10%
Unknown 12 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 25%
Agricultural and Biological Sciences 6 15%
Engineering 3 8%
Medicine and Dentistry 3 8%
Computer Science 3 8%
Other 4 10%
Unknown 11 28%
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 14 March 2019.
All research outputs
#6,563,156
of 23,646,998 outputs
Outputs from BMC Bioinformatics
#2,449
of 7,411 outputs
Outputs of similar age
#101,664
of 316,499 outputs
Outputs of similar age from BMC Bioinformatics
#33
of 101 outputs
Altmetric has tracked 23,646,998 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,411 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 66% 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 316,499 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 67% of its contemporaries.
We're also able to compare this research output to 101 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 67% of its contemporaries.