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HTqPCR

This is the released version of HTqPCR; for the devel version, see HTqPCR.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Automated analysis of high-throughput qPCR data


Bioconductor version: Release (3.23)

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: Matthew N. McCall <mccallm at gmail.com>

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

Heidi Dvinge, Paul Bertone. HTqPCR: Automated analysis of high-throughput qPCR data. doi:10.18129/B9.bioc.HTqPCR, R package version 1.66.0, https://bioconductor.org/packages/HTqPCR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("HTqPCR")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("HTqPCR")
qPCR analysis in R PDF R Script
Reference ManualPDF
NEWSText

Details

biocViews DataImport, DifferentialExpression, GeneExpression, MicrotitrePlateAssay, MultipleComparison, Preprocessing, QualityControl, Software, Visualization, qPCR
Version1.66.0
In Bioconductor sinceBioC 2.5 (R-2.10) (17 years)
License Artistic-2.0
Depends Biobase, RColorBrewer, limma
Imports affy, Biobase, gplots, graphics, grDevices, limma, methods, RColorBrewer, stats, stats4, utils
System Requirements
URLhttp://www.ebi.ac.uk/bertone/software
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package HTqPCR_1.66.0.tar.gz
Windows Binary (x86_64) HTqPCR_1.66.0.zip
macOS Binary (big-sur-x86_64) HTqPCR_1.66.0.tgz
macOS Binary (sonoma-arm64) HTqPCR_1.66.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/HTqPCR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/HTqPCR
Package Short Url https://bioconductor.org/packages/HTqPCR/
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