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.
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")
):
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("sRAP")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sRAP")
R Script | sRAP Vignette | |
Reference Manual |
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 |
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 |
Common Bioconductor workflows include:
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