[HTML][HTML] qBase relative quantification framework and software for management and automated analysis of real-time quantitative PCR data
J Hellemans, G Mortier, A De Paepe, F Speleman… - Genome biology, 2007 - Springer
J Hellemans, G Mortier, A De Paepe, F Speleman, J Vandesompele
Genome biology, 2007•SpringerAlthough 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.
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.
Abstract
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.
Springer