iPAC
Identification of Protein Amino acid Clustering
Bioconductor version: Release (3.17)
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 | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | Clustering, Proteomics, Software |
| Version | 1.44.0 |
| In Bioconductor since | BioC 2.11 (R-2.15) (11 years) |
| License | GPL-2 |
| Depends | R (>= 2.15), gdata, scatterplot3d, Biostrings, multtest |
| Imports | |
| Linking To | |
| Suggests | |
| System Requirements | |
| Enhances | |
| URL |
See More
| 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_1.44.0.tar.gz |
| Windows Binary | iPAC_1.44.0.zip |
| macOS Binary (x86_64) | iPAC_1.44.0.tgz |
| macOS Binary (arm64) | iPAC_1.44.0.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 |