iPAC

This is the released version of iPAC; for the devel version, see iPAC.

Identification of Protein Amino acid Clustering


Bioconductor version: Release (3.20)

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

Reference Manual PDF
NEWS Text

Details

biocViews Clustering, Proteomics, Software
Version 1.50.0
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
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Package Archives

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

Source Package
Windows Binary (x86_64) iPAC_1.50.0.zip
macOS Binary (x86_64)
macOS Binary (arm64) iPAC_1.50.0.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