HTqPCR

Automated analysis of qPCR data

Bioconductor version: 2.5

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

Author: Heidi Dvinge

Maintainer: Heidi Dvinge <heidi at ebi.ac.uk>, Paul Bertone <bertone at ebi.ac.uk>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("HTqPCR")

To cite this package in a publication, start R and enter:

    citation("HTqPCR")

Documentation

PDF R Script HTqPCR - automated high-throughput qPCR analysis
PDF   Reference Manual

Details

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
URL
Depends On Me
Imports Me
Suggests Me
Version 1.0.0
Since Bioconductor 2.5 (R-2.10)

Package Downloads

Package Source HTqPCR_1.0.0.tar.gz
Windows Binary HTqPCR_1.0.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary HTqPCR_1.0.0.tgz
Package Downloads Report Download Stats

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