Bioconductor version: Development (2.8)
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, 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
To install this package, start R and enter:
source("http:///biocLite.R")
biocLite("HTqPCR")
| R Script | qPCR analysis in R |
| 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 | 1.5.4 |
| Package Source | HTqPCR_1.5.4.tar.gz |
| Windows Binary | HTqPCR_1.5.4.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | HTqPCR_1.5.4.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
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