To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("DEGreport")

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

DEGreport

Report of DEG analysis

Bioconductor version: 3.0

Creation of a HTML report of differential expression analyses of count data. It integrates some of the code mentioned in DESeq2 and edgeR vignettes, and report a ranked list of genes according to the fold changes mean and variability for each selected gene.

Author: Lorena Pantano

Maintainer: Lorena Pantano <lorena.pantano at gmail.com>

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("DEGreport")

Documentation

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

browseVignettes("DEGreport")

 

PDF R Script DEGreport
HTML R Script DEGReport
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, GeneExpression, RNASeq, ReportWriting, Software, Visualization
Version 1.0.0
In Bioconductor since BioC 3.0 (R-3.1)
License GPL (>=2)
Depends R (>= 3.0.0), rjags, quantreg
Imports plyr, utils, ggplot2, Nozzle.R1, coda, edgeR
LinkingTo
Suggests knitr, biomaRt, RUnit, BiocStyle, BiocGenerics, BiocParallel
SystemRequirements jags (>= 3.0.0)
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source DEGreport_1.0.0.tar.gz
Windows Binary DEGreport_1.0.0.zip
Mac OS X 10.6 (Snow Leopard) DEGreport_1.0.0.tgz
Mac OS X 10.9 (Mavericks) DEGreport_1.0.0.tgz
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