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Automated amplicon design suitable for analysis of DNA variants by melting techniques

Overview of attention for article published in BMC Research Notes, November 2015
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Title
Automated amplicon design suitable for analysis of DNA variants by melting techniques
Published in
BMC Research Notes, November 2015
DOI 10.1186/s13104-015-1624-8
Pubmed ID
Authors

Per Olaf Ekstrøm, Sigve Nakken, Morten Johansen, Eivind Hovig

Abstract

The technological development of DNA analysis has had tremendous development in recent years, and the present deep sequencing techniques present unprecedented opportunities for detailed and high-throughput DNA variant detection. Although DNA sequencing has had an exponential decrease in cost per base pair analyzed, focused and target-specific methods are however still much in use for analysis of DNA variants. With increasing capacity in the analytical procedures, an equal demand in automated amplicon and primer design has emerged. We have constructed a web-based tool that is able to batch design DNA variant assay suitable for analysis by denaturing gel/capillary electrophoresis and high resolution melting. The tool is developed as a computational workflow that implements one of the most widely used primer design tools, followed by validation of primer specificity, as well as calculation and visualization of the melting properties of the resulting amplicon, with or without an artificial high melting domain attached. The tool will be useful for scientists applying DNA melting techniques in analysis of DNA variations. The tool is freely available at http://meltprimer.ous-research.no/ . Herein, we demonstrate a novel tool with respect to covering the whole amplicon design workflow necessary for groups that use melting equilibrium techniques to separate DNA variants.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 26%
Other 2 11%
Researcher 2 11%
Student > Ph. D. Student 2 11%
Student > Doctoral Student 1 5%
Other 4 21%
Unknown 3 16%
Readers by discipline Count As %
Engineering 4 21%
Biochemistry, Genetics and Molecular Biology 2 11%
Medicine and Dentistry 2 11%
Chemistry 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 4 21%
Unknown 4 21%