iPAC

This package is for version 3.19 of Bioconductor; for the stable, up-to-date release version, see iPAC.

Identification of Protein Amino acid Clustering


Bioconductor version: 3.19

iPAC is a novel tool to identify somatic amino acid mutation clustering within proteins while taking into account protein structure.

Author: Gregory Ryslik, Hongyu Zhao

Maintainer: Gregory Ryslik <gregory.ryslik at yale.edu>

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

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("iPAC")

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("iPAC")
iPAC: identification of Protein Amino acid Mutations PDF R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, Proteomics, Software
Version 1.48.0
In Bioconductor since BioC 2.11 (R-2.15) (12 years)
License GPL-2
Depends R (>= 2.15), scatterplot3d, Biostrings, pwalign, multtest
Imports grDevices, graphics, stats, gdata
System Requirements
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Package Archives

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

Source Package iPAC_1.48.0.tar.gz
Windows Binary (x86_64) iPAC_1.48.0.zip
macOS Binary (x86_64) iPAC_1.48.0.tgz
macOS Binary (arm64) iPAC_1.48.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/iPAC
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/iPAC
Bioc Package Browser https://code.bioconductor.org/browse/iPAC/
Package Short Url https://bioconductor.org/packages/iPAC/
Package Downloads Report Download Stats