iPAC

DOI: 10.18129/B9.bioc.iPAC    

Identification of Protein Amino acid Clustering

Bioconductor version: Release (3.11)

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>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("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")

 

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

Details

biocViews	Clustering, Proteomics, Software
Version	1.32.0
In Bioconductor since	BioC 2.11 (R-2.15) (8 years)
License	GPL-2
Depends	R (>= 2.15), gdata, scatterplot3d, Biostrings, multtest
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me	GraphPAC, QuartPAC, SpacePAC
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	iPAC_1.32.0.tar.gz
Windows Binary	iPAC_1.32.0.zip
macOS 10.13 (High Sierra)	iPAC_1.32.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/iPAC
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/iPAC
Package Short Url	https://bioconductor.org/packages/iPAC/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.11	Source Archive