Package: HTqPCR
Type: Package
Title: Automated analysis of high-throughput qPCR data
Version: 1.67.0
Author: Heidi Dvinge, Paul Bertone
Maintainer: Matthew N. McCall <mccallm@gmail.com>
Description: 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).
Reference: Heidi Dvinge and Paul Bertone (2009). HTqPCR:
        High-throughput analysis and visualization of quantitative
        real-time PCR data in R Bioinformatics.
License: Artistic-2.0
URL: http://www.ebi.ac.uk/bertone/software
LazyLoad: yes
Depends: Biobase, RColorBrewer, limma
Suggests: statmod
Imports: affy, Biobase, gplots, graphics, grDevices, limma, methods,
        RColorBrewer, stats, stats4, utils
biocViews: MicrotitrePlateAssay, DifferentialExpression,
        GeneExpression, DataImport, QualityControl, Preprocessing,
        Visualization, MultipleComparison, qPCR
Config/pak/sysreqs: zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 13:04:41 UTC
RemoteUrl: https://github.com/bioc/HTqPCR
RemoteRef: HEAD
RemoteSha: a861773133fe23ad667790dd8e8164d511481484
NeedsCompilation: no
Packaged: 2026-05-30 07:58:59 UTC; root
Built: R 4.6.0; ; 2026-05-30 08:00:22 UTC; windows
