iPAC

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

Identification of Protein Amino acid Clustering


Bioconductor version: Development (3.21)

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 "4.5") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("iPAC")

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

Documentation

Reference Manual PDF

Details

biocViews Clustering, Proteomics, Software
Version 1.51.0
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)
macOS Binary (x86_64)
macOS Binary (arm64)
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/
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