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  Gene Meter: Accurate abundance calculations of gene expression

Pozhitkov, A. E., & Noble, P. A. (2017). Gene Meter: Accurate abundance calculations of gene expression. Communicative & integrative biology, 10(4): e1329785. doi:10.1080/19420889.2017.1329785.

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Gene Meter Accurate abundance calculations of gene expression.pdf (Publisher version), 975KB
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Gene Meter Accurate abundance calculations of gene expression.pdf
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Pozhitkov, Alexander E.1, Author           
Noble, Peter A., Author
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1Department Evolutionary Genetics, Max Planck Institute for Evolutionary Biology, Max Planck Society, ou_1445635              

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Free keywords: DNA microarrays; DNA sequencing; accuracy; gene expression; gene meter; precision
 Abstract: ABSTRACTWe previously reported that thousands of transcripts in the mouse and zebrafish significantly increased in abundance in a time series spanning from life to several days after death. Transcript abundances were determined by: calibrating each microarray probe using a dilution series of pooled RNAs, fitting the probe-responses to adsorption models, and back-calculating abundances using the probe signal intensity of a sample and the best fitting model. The accuracy of the abundance measurements was not assessed in our previous study because individual transcript concentrations in the calibration pool were not known. Accurate transcript abundances are highly desired for modeling the dynamics of biological systems and investigating how systems respond to perturbations. In this study, we show that accurate transcript abundances can be determined by calibrating the probes using a calibration pool of transcripts with known concentrations. Instructions for determining accurate transcript abundances using the Gene Meter approach are provided.

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Language(s): eng - English
 Dates: 2017-05-102017-05-082017-09-062017
 Publication Status: Issued
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1080/19420889.2017.1329785
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Title: Communicative & integrative biology
Source Genre: Journal
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Publ. Info: Austin, Tex. : Landes Bioscience
Pages: 5 Volume / Issue: 10 (4) Sequence Number: e1329785 Start / End Page: - Identifier: Other: 1942-0889
CoNE: https://pure.mpg.de/cone/journals/resource/1942-0889