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")
R Script | HTqPCR - automated high-throughput qPCR analysis | |
Reference Manual |
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 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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