To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("sRAP")
In most cases, you don't need to download the package archive at all.
sRAP
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Simplified RNA-Seq Analysis Pipeline
Bioconductor version: Release (3.5)
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:
## try http:// if https:// URLs are not supported
source("https://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")
| R Script | sRAP Vignette | |
| Reference Manual |
Details
| biocViews | DifferentialExpression, GO, GeneExpression, GeneSetEnrichment, Microarray, Preprocessing, QualityControl, RNAseq, Software, Statistics, Visualization |
| Version | 1.16.0 |
| In Bioconductor since | BioC 2.13 (R-3.0) (4 years) |
| License | GPL-3 |
| Depends | WriteXLS |
| Imports | gplots, pls, ROCR, qvalue |
| LinkingTo | |
| Suggests | |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | sRAP_1.16.0.tar.gz |
| Windows Binary | sRAP_1.16.0.zip |
| Mac OS X 10.11 (El Capitan) | sRAP_1.16.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/sRAP |
| Package Short Url | http://bioconductor.org/packages/sRAP/ |
| Package Downloads Report | Download Stats |
Documentation »
Bioconductor
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