This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see sRAP.
Bioconductor version: 3.7
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:
## try http:// if https:// URLs are not supported source("https://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 | 1.20.0 |
In Bioconductor since | BioC 2.13 (R-3.0) (5 years) |
License | GPL-3 |
Depends | WriteXLS |
Imports | gplots, pls, ROCR, qvalue |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | sRAP_1.20.0.tar.gz |
Windows Binary | sRAP_1.20.0.zip |
Mac OS X 10.11 (El Capitan) | sRAP_1.20.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/sRAP |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/sRAP |
Package Short Url | http://bioconductor.org/packages/sRAP/ |
Package Downloads Report | Download Stats |
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