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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 variances of 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 large experiment. 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
  • 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 variances of 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 large experiment. 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 (en)
Title
  • Statistical aspects of quantitative real-time PCR experiment design
  • Statistical aspects of quantitative real-time PCR experiment design (en)
skos:prefLabel
  • Statistical aspects of quantitative real-time PCR experiment design
  • Statistical aspects of quantitative real-time PCR experiment design (en)
skos:notation
  • RIV/86652036:_____/10:00350829!RIV11-AV0-86652036
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(IAA500520809), Z(AV0Z50520701)
http://linked.open...iv/cisloPeriodika
  • 4
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 289933
http://linked.open...ai/riv/idVysledku
  • RIV/86652036:_____/10:00350829
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Real-time PCR; Experiment design; Nested analysis of variance (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [FAD99BE743E5]
http://linked.open...i/riv/nazevZdroje
  • Methods
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 50
http://linked.open...iv/tvurceVysledku
  • Kubista, Mikael
  • Tichopád, Aleš
  • Kitchen, R. R.
http://linked.open...ain/vavai/riv/wos
  • 000276262100004
http://linked.open...n/vavai/riv/zamer
issn
  • 1046-2023
number of pages
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