To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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: 3.2

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:

## try http:// if https:// URLs are not supported
source("https://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 DEGreport
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, GeneExpression, RNASeq, ReportWriting, Software, Visualization
Version 1.6.1
In Bioconductor since BioC 3.0 (R-3.1) (1.5 years)
License GPL (>=2)
Depends R (>= 3.2.0), quantreg
Imports plyr, utils, ggplot2, Nozzle.R1, edgeR
LinkingTo
Suggests knitr, biomaRt, RUnit, BiocStyle, BiocGenerics, BiocParallel
SystemRequirements
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_1.6.1.tar.gz
Windows Binary DEGreport_1.6.1.zip
Mac OS X 10.6 (Snow Leopard) DEGreport_1.6.0.tgz
Mac OS X 10.9 (Mavericks) DEGreport_1.6.1.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/DEGreport/tree/release-3.2
Package Short Url http://bioconductor.org/packages/DEGreport/
Package Downloads Report Download Stats

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