To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("pepStat")

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

pepStat

Statistical analysis of peptide microarrays

Bioconductor version: Release (3.1)

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")):

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("pepStat")

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

browseVignettes("pepStat")

PDF	R Script	Full peptide microarray analysis
PDF		Reference Manual

biocViews	Microarray, Preprocessing, Software
Version	1.2.0
In Bioconductor since	BioC 3.0 (R-3.1) (1 year)
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

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

Package Source	pepStat_1.2.0.tar.gz
Windows Binary	pepStat_1.2.0.zip
Mac OS X 10.6 (Snow Leopard)	pepStat_1.2.0.tgz
Mac OS X 10.9 (Mavericks)	pepStat_1.2.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/pepStat/tree/release-3.1
Package Short Url	http://bioconductor.org/packages/pepStat/
Package Downloads Report	Download Stats

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