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This is the development version of pepStat; for the stable release version, see pepStat.

Statistical analysis of peptide microarrays

Bioconductor version: Development (3.19)

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 (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


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

Full peptide microarray analysis PDF R Script
Reference Manual PDF


biocViews Microarray, Preprocessing, Software
Version 1.37.0
In Bioconductor since BioC 3.0 (R-3.1) (9.5 years)
License Artistic-2.0
Depends R (>= 3.0.0), Biobase, IRanges
Imports limma, fields, GenomicRanges, ggplot2, plyr, tools, methods, data.table
System Requirements
URL https://github.com/RGLab/pepStat
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Suggests pepDat, Pviz, knitr, shiny
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Package Archives

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

Source Package pepStat_1.37.0.tar.gz
Windows Binary pepStat_1.37.0.zip
macOS Binary (x86_64) pepStat_1.37.0.tgz
macOS Binary (arm64) pepStat_1.37.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/pepStat
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/pepStat
Bioc Package Browser https://code.bioconductor.org/browse/pepStat/
Package Short Url https://bioconductor.org/packages/pepStat/
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