To install this package, start R and enter:

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

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

EBSeq

 

   

This is the development version of EBSeq; for the stable release version, see EBSeq.

An R package for gene and isoform differential expression analysis of RNA-seq data

Bioconductor version: Development (3.4)

Differential Expression analysis at both gene and isoform level using RNA-seq data

Author: Ning Leng, Christina Kendziorski

Maintainer: Ning Leng <lengning1 at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("EBSeq")

 

PDF R Script EBSeq Vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews DifferentialExpression, MultipleComparison, RNASeq, Sequencing, Software, StatisticalMethod
Version 1.13.0
In Bioconductor since BioC 2.13 (R-3.0) (2.5 years)
License Artistic-2.0
Depends blockmodeling, gplots, testthat, R (>= 3.0.0)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me EBSeqHMM, Oscope
Imports Me
Suggests Me compcodeR
Build Report  

Package Archives

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

Package Source EBSeq_1.13.0.tar.gz
Windows Binary EBSeq_1.13.0.zip
Mac OS X 10.9 (Mavericks) EBSeq_1.13.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/EBSeq
Package Short Url http://bioconductor.org/packages/EBSeq/
Package Downloads Report Download Stats

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