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 |
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("HTqPCR")
| qPCR analysis in R | R Script | |
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| Reference Manual |
| biocViews | |
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| Suggests |
statmod
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| System Requirements | |
| License | Artistic-2.0 |
| URL | http://www.ebi.ac.uk/bertone/software |
| Depends On Me | |
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| Package source | HTqPCR_1.2.0.tar.gz |
|---|---|
| Windows 32-bit binary | HTqPCR_1.2.0.zip |
| Windows 64-bit binary | HTqPCR_1.2.0.zip |
| MacOS X 10.5 (Leopard) binary | HTqPCR_1.2.0.tgz |
| Package Downloads Report | Downloads Stats |