To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("HTqPCR")
In most cases, you don't need to download the package archive at all.
HTqPCR
Automated analysis of high-throughput qPCR data
Bioconductor version: 3.1
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 <heidi at ebi.ac.uk>
Citation (from within R,
enter citation("HTqPCR")):
Installation
To install this package, start R and enter:
## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("HTqPCR")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("HTqPCR")
| R Script | qPCR analysis in R | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | DataImport, DifferentialExpression, GeneExpression, MicrotitrePlateAssay, MultipleComparison, Preprocessing, QualityControl, Software, Visualization, qPCR |
| Version | 1.22.0 |
| In Bioconductor since | BioC 2.5 (R-2.10) (6 years) |
| License | Artistic-2.0 |
| Depends | Biobase, RColorBrewer, limma |
| Imports | affy, Biobase, gplots, graphics, grDevices, limma, methods, RColorBrewer, stats, stats4, utils |
| LinkingTo | |
| Suggests | statmod |
| SystemRequirements | |
| Enhances | |
| URL | http://www.ebi.ac.uk/bertone/software |
| Depends On Me | |
| Imports Me | nondetects, unifiedWMWqPCR |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | HTqPCR_1.22.0.tar.gz |
| Windows Binary | HTqPCR_1.22.0.zip |
| Mac OS X 10.6 (Snow Leopard) | HTqPCR_1.22.0.tgz |
| Mac OS X 10.9 (Mavericks) | HTqPCR_1.22.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/HTqPCR/tree/release-3.1 |
| Package Short Url | http://bioconductor.org/packages/HTqPCR/ |
| Package Downloads Report | Download Stats |
Documentation »
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