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

Research output: Contribution to journalArticlepeer-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 languageEnglish
Pages (from-to)110
JournalBMC Bioinformatics
Volume10
DOIs
Publication statusPublished - 2009

Keywords

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

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