Bioconductor version: 2.7
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")
Common Bioconductor workflows include:
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