To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("erccdashboard")

In most cases, you don't need to download the package archive at all.

erccdashboard

DOI: 10.18129/B9.bioc.erccdashboard

Assess Differential Gene Expression Experiments with ERCC Controls

Bioconductor version: Release (3.5)

Technical performance metrics for differential gene expression experiments using External RNA Controls Consortium (ERCC) spike-in ratio mixtures.

Author: Sarah Munro, Steve Lund

Maintainer: Sarah Munro <sarah.munro at nist.gov>

Citation (from within R, enter citation("erccdashboard")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("erccdashboard")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("erccdashboard")
PDF R Script erccdashboard examples
PDF Reference Manual
Text NEWS

Details

Version 1.10.0
In Bioconductor since BioC 3.0 (R-3.1) (3 years)
License GPL (>=2)
Depends R (>= 3.2), ggplot2 (>= 2.1.0), gridExtra (>= 2.0.0)
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Package Archives

Follow Installation instructions to use this package in your R session.

Mac OS X 10.11 (El Capitan) erccdashboard_1.10.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/erccdashboard
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