To install this package, start R and enter:

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

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

pepStat

   

This package is for version 3.2 of Bioconductor; for the stable, up-to-date release version, see pepStat.

Statistical analysis of peptide microarrays

Bioconductor version: 3.2

Statistical analysis of peptide microarrays

Author: Raphael Gottardo, Gregory C Imholte, Renan Sauteraud, Mike Jiang

Maintainer: Gregory C Imholte <gimholte at uw.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("pepStat")

 

PDF Full peptide microarray analysis
PDF   Reference Manual

Details

biocViews Microarray, Preprocessing, Software
Version 1.4.0
In Bioconductor since BioC 3.0 (R-3.1) (1.5 years)
License Artistic-2.0
Depends R (>= 3.0.0), Biobase, IRanges
Imports limma, fields, GenomicRanges, ggplot2, plyr, tools, methods, data.table
LinkingTo
Suggests pepDat, Pviz, knitr, shiny
SystemRequirements
Enhances
URL https://github.com/RGLab/pepStat
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source pepStat_1.4.0.tar.gz
Windows Binary pepStat_1.4.0.zip
Mac OS X 10.6 (Snow Leopard) pepStat_1.4.0.tgz
Mac OS X 10.9 (Mavericks) pepStat_1.4.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/pepStat/tree/release-3.2
Package Short Url http://bioconductor.org/packages/pepStat/
Package Downloads Report Download Stats

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