DOI: 10.18129/B9.bioc.HTqPCR  

This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see HTqPCR.

Automated analysis of high-throughput qPCR data

Bioconductor version: 3.16

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 <hdvinge at>

Citation (from within R, enter citation("HTqPCR")):


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biocViews DataImport, DifferentialExpression, GeneExpression, MicrotitrePlateAssay, MultipleComparison, Preprocessing, QualityControl, Software, Visualization, qPCR
Version 1.52.0
In Bioconductor since BioC 2.5 (R-2.10) (13.5 years)
License Artistic-2.0
Depends Biobase, RColorBrewer, limma
Imports affy, Biobase, gplots, graphics, grDevices, limma, methods, RColorBrewer, stats, stats4, utils
Suggests statmod
Depends On Me
Imports Me nondetects, unifiedWMWqPCR
Suggests Me
Links To Me
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