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Automated analysis of high-throughput qPCR data

Bioconductor version: 2.14

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 or OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad Laboratories; 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
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biocViews DataImport, DifferentialExpression, GeneExpression, MicrotitrePlateAssay, MultipleComparison, Preprocessing, QualityControl, Software, Visualization, qPCR
Version 1.18.0
In Bioconductor since BioC 2.5 (R-2.10)
License Artistic-2.0
Depends Biobase, RColorBrewer, limma
Imports affy, Biobase, gplots, graphics, grDevices, limma, methods, RColorBrewer, stats, stats4, utils
Suggests statmod
System Requirements
Depends On Me
Imports Me nondetects, unifiedWMWqPCR
Suggests Me

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Package Source HTqPCR_1.18.0.tar.gz
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Mac OS X 10.6 (Snow Leopard) HTqPCR_1.18.0.tgz
Mac OS X 10.9 (Mavericks) HTqPCR_1.18.0.tgz
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