Statistical aspects of quantitative real-time PCR experiment design

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652036%3A_____%2F10%3A00350829" target="_blank" >RIV/86652036:_____/10:00350829 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Statistical aspects of quantitative real-time PCR experiment design
Original language description
Experiments using qPCR to test hypotheses are limited by technical and biological variability; we seek to minimise sources of variability through optimum use of biological and technical replicates. Calculations rely on knowledge of the expected variancesof the measurements of each group of samples and the magnitude of the treatment effect. Here we introduce a method that exploits a small pilot study to estimate the biological and technical variances in order to improve the design of a subsequent largeexperiment. We measure the variance contributions at several levels? of the experiment design and provide a means of using this information to predict both the total variance and the prospective power of the assay. We also discuss the effect of normalisation to a reference gene in terms of the measured variance components of the gene of interest. Finally, we describe a software implementation of these methods, powerNest
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EB - Genetics and molecular biology
OECD FORD branch
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Project
<a href="/en/project/IAA500520809" target="_blank" >IAA500520809: Mechanisms of embryonic stem cells early differentiation</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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