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Uncertainty Estimation for Quantitative Agarose Gel Electrophoresis of Nucleic Acids

This paper considers the evaluation of uncertainty of quantitative gel electrophoresis. To date, such uncertainty estimation presented in the literature are based on the multiple measurements performed for assessing the intra- and interlaboratory reproducibility using standard samples. This paper sh...

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Autores principales: Semenov, Konstantin, Taraskin, Aleksandr, Yurchenko, Alexandra, Baranovskaya, Irina, Purvinsh, Lada, Gyulikhandanova, Natalia, Vasin, Andrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966319/
https://www.ncbi.nlm.nih.gov/pubmed/36850595
http://dx.doi.org/10.3390/s23041999
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author Semenov, Konstantin
Taraskin, Aleksandr
Yurchenko, Alexandra
Baranovskaya, Irina
Purvinsh, Lada
Gyulikhandanova, Natalia
Vasin, Andrey
author_facet Semenov, Konstantin
Taraskin, Aleksandr
Yurchenko, Alexandra
Baranovskaya, Irina
Purvinsh, Lada
Gyulikhandanova, Natalia
Vasin, Andrey
author_sort Semenov, Konstantin
collection PubMed
description This paper considers the evaluation of uncertainty of quantitative gel electrophoresis. To date, such uncertainty estimation presented in the literature are based on the multiple measurements performed for assessing the intra- and interlaboratory reproducibility using standard samples. This paper shows how to estimate the uncertainty in cases where we cannot study scattering components of the results. The first point is dedicated to a case where we have standard samples (the direct expressions are shown). The second point considers the situation when standard samples are absent (the algorithm for estimating the lower bound for uncertainty is discussed). The role of the data processing algorithm is demonstrated.
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spelling pubmed-99663192023-02-26 Uncertainty Estimation for Quantitative Agarose Gel Electrophoresis of Nucleic Acids Semenov, Konstantin Taraskin, Aleksandr Yurchenko, Alexandra Baranovskaya, Irina Purvinsh, Lada Gyulikhandanova, Natalia Vasin, Andrey Sensors (Basel) Communication This paper considers the evaluation of uncertainty of quantitative gel electrophoresis. To date, such uncertainty estimation presented in the literature are based on the multiple measurements performed for assessing the intra- and interlaboratory reproducibility using standard samples. This paper shows how to estimate the uncertainty in cases where we cannot study scattering components of the results. The first point is dedicated to a case where we have standard samples (the direct expressions are shown). The second point considers the situation when standard samples are absent (the algorithm for estimating the lower bound for uncertainty is discussed). The role of the data processing algorithm is demonstrated. MDPI 2023-02-10 /pmc/articles/PMC9966319/ /pubmed/36850595 http://dx.doi.org/10.3390/s23041999 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Semenov, Konstantin
Taraskin, Aleksandr
Yurchenko, Alexandra
Baranovskaya, Irina
Purvinsh, Lada
Gyulikhandanova, Natalia
Vasin, Andrey
Uncertainty Estimation for Quantitative Agarose Gel Electrophoresis of Nucleic Acids
title Uncertainty Estimation for Quantitative Agarose Gel Electrophoresis of Nucleic Acids
title_full Uncertainty Estimation for Quantitative Agarose Gel Electrophoresis of Nucleic Acids
title_fullStr Uncertainty Estimation for Quantitative Agarose Gel Electrophoresis of Nucleic Acids
title_full_unstemmed Uncertainty Estimation for Quantitative Agarose Gel Electrophoresis of Nucleic Acids
title_short Uncertainty Estimation for Quantitative Agarose Gel Electrophoresis of Nucleic Acids
title_sort uncertainty estimation for quantitative agarose gel electrophoresis of nucleic acids
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9966319/
https://www.ncbi.nlm.nih.gov/pubmed/36850595
http://dx.doi.org/10.3390/s23041999
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