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
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats

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