HTqPCR: Automated analysis of high-throughput qPCR data

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).

Package details

AuthorHeidi Dvinge, Paul Bertone
Bioconductor views DataImport DifferentialExpression GeneExpression MicrotitrePlateAssay MultipleComparison Preprocessing QualityControl Visualization qPCR
MaintainerHeidi Dvinge <>
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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HTqPCR documentation built on Nov. 8, 2020, 6:51 p.m.