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 |
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 |
System Requirements | |
URL |
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Build Report | Build Report |
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/ |
Package Downloads Report | Download Stats |