To install this package, start R and enter:

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

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

sRAP

Simplified RNA-Seq Analysis Pipeline

Bioconductor version: 2.14

This package provides a pipeline for gene expression analysis (primarily for RNA-Seq data). The normalization function is specific for RNA-Seq analysis, but all other functions (Quality Control Figures, Differential Expression and Visualization, and Functional Enrichment via BD-Func) will work with any type of gene expression data.

Author: Charles Warden

Maintainer: Charles Warden <cwarden45 at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("sRAP")

 

PDF R Script sRAP Vignette
PDF   Reference Manual

Details

biocViews DifferentialExpression, GO, GeneExpression, GeneSetEnrichment, Microarray, Preprocessing, QualityControl, RNAseq, Software, Statistics, Visualization
Version 1.4.2
In Bioconductor since BioC 2.13 (R-3.0)
License GPL-3
Depends WriteXLS
Imports gplots, pls, ROCR, qvalue
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source sRAP_1.4.2.tar.gz
Windows Binary sRAP_1.4.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) sRAP_1.4.2.tgz
Mac OS X 10.9 (Mavericks) sRAP_1.4.2.tgz
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center