Welcome to the new bioconductor.org!

iPAC

Identification of Protein Amino acid Clustering


Bioconductor version: Release (3.18)

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 "4.3") 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 1.46.0
In Bioconductor since BioC 2.11 (R-2.15) (11.5 years)
License GPL-2
Depends R (>= 2.15), gdata, scatterplot3d, Biostrings, multtest
Imports
System Requirements
URL
See More
Suggests
Linking To
Enhances
Depends On Me GraphPAC, QuartPAC, SpacePAC
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package iPAC_1.46.0.tar.gz
Windows Binary iPAC_1.46.0.zip
macOS Binary (x86_64) iPAC_1.46.0.tgz
macOS Binary (arm64) iPAC_1.46.0.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