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Estimation of the Relative Sensitivity of qPCR Analysis Using Pooled Samples
The high sensitivity of qPCR makes it a desirable diagnostic method in epidemiological surveillance programs. However, due to high costs, the use of pooling has been suggested. In this paper, an algorithm based on the Montecarlo method has been designed and implemented. The algorithm had been tested...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3983103/ https://www.ncbi.nlm.nih.gov/pubmed/24722485 http://dx.doi.org/10.1371/journal.pone.0093491 |
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author | Muniesa, Ana Ferreira, Chelo Fuertes, Héctor Halaihel, Nabil de Blas, Ignacio |
author_facet | Muniesa, Ana Ferreira, Chelo Fuertes, Héctor Halaihel, Nabil de Blas, Ignacio |
author_sort | Muniesa, Ana |
collection | PubMed |
description | The high sensitivity of qPCR makes it a desirable diagnostic method in epidemiological surveillance programs. However, due to high costs, the use of pooling has been suggested. In this paper, an algorithm based on the Montecarlo method has been designed and implemented. The algorithm had been tested in many different situations, and finally it was validated with a real dataset. Moreover, based on the results obtained and depending on pooling conditions, a drastic decrease of sensitivity is observed. |
format | Online Article Text |
id | pubmed-3983103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39831032014-04-15 Estimation of the Relative Sensitivity of qPCR Analysis Using Pooled Samples Muniesa, Ana Ferreira, Chelo Fuertes, Héctor Halaihel, Nabil de Blas, Ignacio PLoS One Research Article The high sensitivity of qPCR makes it a desirable diagnostic method in epidemiological surveillance programs. However, due to high costs, the use of pooling has been suggested. In this paper, an algorithm based on the Montecarlo method has been designed and implemented. The algorithm had been tested in many different situations, and finally it was validated with a real dataset. Moreover, based on the results obtained and depending on pooling conditions, a drastic decrease of sensitivity is observed. Public Library of Science 2014-04-10 /pmc/articles/PMC3983103/ /pubmed/24722485 http://dx.doi.org/10.1371/journal.pone.0093491 Text en © 2014 Muniesa et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Muniesa, Ana Ferreira, Chelo Fuertes, Héctor Halaihel, Nabil de Blas, Ignacio Estimation of the Relative Sensitivity of qPCR Analysis Using Pooled Samples |
title | Estimation of the Relative Sensitivity of qPCR Analysis Using Pooled Samples |
title_full | Estimation of the Relative Sensitivity of qPCR Analysis Using Pooled Samples |
title_fullStr | Estimation of the Relative Sensitivity of qPCR Analysis Using Pooled Samples |
title_full_unstemmed | Estimation of the Relative Sensitivity of qPCR Analysis Using Pooled Samples |
title_short | Estimation of the Relative Sensitivity of qPCR Analysis Using Pooled Samples |
title_sort | estimation of the relative sensitivity of qpcr analysis using pooled samples |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3983103/ https://www.ncbi.nlm.nih.gov/pubmed/24722485 http://dx.doi.org/10.1371/journal.pone.0093491 |
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