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HTqPCR

Automated analysis of high-throughput qPCR data

Bioconductor version: 3.24 · Package version: 1.67.0

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).

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("HTqPCR")

Details

MaintainerMatthew N. McCall <mccallm@gmail.com>
AuthorHeidi Dvinge, Paul Bertone
LicenseArtistic-2.0
URLhttp://www.ebi.ac.uk/bertone/software
Downloads rank718
Source branchdevel
biocViewsDataImport, DifferentialExpression, GeneExpression, MicrotitrePlateAssay, MultipleComparison, Preprocessing, QualityControl, Software, Visualization, qPCR

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageHTqPCR_1.67.0.tar.gz
Windows binary (x86_64)HTqPCR_1.67.0.zip
macOS binary (arm64)HTqPCR_1.67.0.tgz
macOS binary (x86_64)HTqPCR_1.67.0.tgz
Dependencies

Depends: Biobase, RColorBrewer, limma

Imports: affy, Biobase, gplots, graphics, grDevices, limma, methods, RColorBrewer, stats, stats4, utils

Suggests: statmod

Reverse dependencies

Imports Me (1): nondetects