Package: HTqPCR
Type: Package
Title: Automated analysis of high-throughput qPCR data
Version: 1.36.0
Author: Heidi Dvinge, Paul Bertone
Maintainer: Heidi Dvinge <hdvinge@fredhutch.org>
Description: 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).
Reference: Heidi Dvinge and Paul Bertone (2009). HTqPCR:
        High-throughput analysis and visualization of quantitative
        real-time PCR data in R Bioinformatics.
License: Artistic-2.0
URL: http://www.ebi.ac.uk/bertone/software
LazyLoad: yes
Depends: Biobase, RColorBrewer, limma
Suggests: statmod
Imports: affy, Biobase, gplots, graphics, grDevices, limma, methods,
        RColorBrewer, stats, stats4, utils
biocViews: MicrotitrePlateAssay, DifferentialExpression,
        GeneExpression, DataImport, QualityControl, Preprocessing,
        Visualization, MultipleComparison, qPCR
git_url: https://git.bioconductor.org/packages/HTqPCR
git_branch: RELEASE_3_8
git_last_commit: bb0a84e
git_last_commit_date: 2018-10-30
Date/Publication: 2018-10-30
NeedsCompilation: no
Packaged: 2018-10-31 01:24:28 UTC; biocbuild
Built: R 3.5.1; ; 2018-10-31 11:22:25 UTC; windows
