pepStat

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

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0

Statistical analysis of peptide microarrays

Bioconductor version: Development (3.24)

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")):

Raphael Gottardo, Gregory C Imholte, Renan Sauteraud, Mike Jiang. pepStat: Statistical analysis of peptide microarrays. doi:10.18129/B9.bioc.pepStat, R package version 1.47.0, https://bioconductor.org/packages/pepStat.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("pepStat")

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

Documentation

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

browseVignettes("pepStat")

Full peptide microarray analysis	PDF	R Script
Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	Microarray, Preprocessing, Software
Version	1.47.0
In Bioconductor since	BioC 3.0 (R-3.1) (12 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

Suggests	pepDat, Pviz, knitr, shiny
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
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Build Report	Build Report, r-universe

Package Archives

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

Source Package	pepStat_1.47.0.tar.gz
Windows Binary (x86_64)	pepStat_1.47.0.zip
macOS Binary (big-sur-x86_64)	pepStat_1.47.0.tgz
macOS Binary (sonoma-arm64)	pepStat_1.47.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/pepStat
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/pepStat
Package Short Url	https://bioconductor.org/packages/pepStat/
Package Downloads Report	Download Stats