HTqPCR
Automated analysis of high-throughput qPCR data
Bioconductor version: 3.24 · Package version: 1.67.0
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 or OpenArray; LightCycler from Roche Applied Science; the CFX plates from Bio-Rad Laboratories; 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).
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("HTqPCR") Details
| Maintainer | Matthew N. McCall <mccallm@gmail.com> |
| Author | Heidi Dvinge, Paul Bertone |
| License | Artistic-2.0 |
| URL | http://www.ebi.ac.uk/bertone/software |
| Downloads rank | 718 |
| Source branch | devel |
| biocViews | DataImport, DifferentialExpression, GeneExpression, MicrotitrePlateAssay, MultipleComparison, Preprocessing, QualityControl, Software, Visualization, qPCR |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | HTqPCR_1.67.0.tar.gz |
| Windows binary (x86_64) | HTqPCR_1.67.0.zip |
| macOS binary (arm64) | HTqPCR_1.67.0.tgz |
| macOS binary (x86_64) | HTqPCR_1.67.0.tgz |
Dependencies
Depends: Biobase, RColorBrewer, limma
Imports: affy, Biobase, gplots, graphics, grDevices, limma, methods, RColorBrewer, stats, stats4, utils
Suggests: statmod
Reverse dependencies
Imports Me (1): nondetects