Data-driven normalization strategies for high-throughput quantitative RT-PCR

Jessica C Mar; Yasumasa Kimura; Kate Schroder; Katharine M Irvine; Yoshihide Hayashizaki; Harukazu Suzuki; David Hume; John Quackenbush

doi:10.1186/1471-2105-10-110

Data-driven normalization strategies for high-throughput quantitative RT-PCR

Jessica C Mar, Yasumasa Kimura, Kate Schroder, Katharine M Irvine, Yoshihide Hayashizaki, Harukazu Suzuki, David Hume, John Quackenbush

Royal (Dick) School of Veterinary Studies

Research output: Contribution to journal › Article › peer-review

Abstract

High-throughput real-time quantitative reverse transcriptase polymerase chain reaction (qPCR) is a widely used technique in experiments where expression patterns of genes are to be profiled. Current stage technology allows the acquisition of profiles for a moderate number of genes (50 to a few thousand), and this number continues to grow. The use of appropriate normalization algorithms for qPCR-based data is therefore a highly important aspect of the data preprocessing pipeline.

Original language	English
Pages (from-to)	110
Journal	BMC Bioinformatics
Volume	10
DOIs	https://doi.org/10.1186/1471-2105-10-110
Publication status	Published - 2009

Keywords / Materials (for Non-textual outputs)

Algorithms
Computational Biology
Databases, Genetic
Gene Expression Profiling
Reverse Transcriptase Polymerase Chain Reaction

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10.1186/1471-2105-10-110

Data-driven normalization strategies for high-throughput quantitative RT-PCR
© 2009 Mar et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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http://www.biomedcentral.com/1471-2105/10/110

Cite this

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AU - Kimura, Yasumasa

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AU - Hayashizaki, Yoshihide

AU - Suzuki, Harukazu

AU - Hume, David

AU - Quackenbush, John

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KW - Computational Biology

KW - Databases, Genetic

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Data-driven normalization strategies for high-throughput quantitative RT-PCR

Abstract

Keywords / Materials (for Non-textual outputs)

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Cite this