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

Documentation »

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