Automated analysis of high-throughput qPCR data

Bioconductor version: 2.8

Analysis of Ct values from high throughput quantitative real-time PCR (qPCR) assays across multiple conditions or replicates. The input data can be from spatially-defined formats such ABI TaqMan Low Density Arrays, conventional 96- or 384-well plates, or microfluidic devices such as the Dynamic Arrays from Fluidigm Corporation. HTqPCR handles data loading, quality assessment, normalization, visualization and parametric or non-parametric testing for statistical significance in Ct values between features (e.g. genes, microRNAs).

Author: Heidi Dvinge, Paul Bertone

Maintainer: Heidi Dvinge <heidi at>

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PDF R Script qPCR analysis in R
PDF   Reference Manual


biocViews MicrotitrePlateAssay, DifferentialExpression, GeneExpression, DataImport, QualityControl, Preprocessing, Bioinformatics, Visualization, MultipleComparisons
Depends Biobase, RColorBrewer, limma
Imports affy, Biobase, gplots, graphics, grDevices, limma, methods, RColorBrewer, stats, utils
Suggests statmod
System Requirements
License Artistic-2.0
Depends On Me
Imports Me
Suggests Me
Version 1.6.0
Since Bioconductor 2.5 (R-2.10)

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Package Source HTqPCR_1.6.0.tar.gz
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MacOS 10.5 (Leopard) binary HTqPCR_1.6.0.tgz
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