qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data

By Jan Hellemans, Geert Mortier, A. De Paepe, Frank Speleman, Jo Vandesompele. Genome Biology, 2007

4,067 citations recorded by the source corpus.

Although quantitative PCR (qPCR) is becoming the method of choice for expression profiling of selected genes, accurate and straightforward processing of the raw measurements remains a major hurdle. Here we outline advanced and universally applicable models for relative quantification and inter-run calibration with proper error propagation along the entire calculation track. These models and algorithms are implemented in qBase, a free program for the management and automated analysis of qPCR data.

Subfields: Genetics, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/374e237039728cda59a7f9209ea884273c5aa699

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In Genetics

  1. Jörn Walter
  2. Stephen A. Bustin
  3. T. Nolan
  4. M. Dicke

In Molecular Biology

  1. J. Huggett
  2. T. Nolan
  3. M. W. Pfaffl
  4. Jo Vandesompele
  5. Jan Hellemans
  6. Vladimir Benes
  7. Frank Speleman
  8. Stephen A. Bustin

Citations in the corpus