Bioconductor version: 2.6
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 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>
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 | qPCR analysis in R | |
| 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 | http://www.ebi.ac.uk/bertone/software | 
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.2.0 | 
| Since | Bioconductor 2.5 (R-2.10) | 
| Package Source | HTqPCR_1.2.0.tar.gz | 
| Windows Binary | HTqPCR_1.2.0.zip (32- & 64-bit) | 
| MacOS 10.5 (Leopard) binary | HTqPCR_1.2.0.tgz | 
| Package Downloads Report | Download Stats | 
 
  
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