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 |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | |
| 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 | |
| Windows Binary (x86_64) | iPAC_1.51.0.zip (64-bit only) |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | iPAC_1.51.0.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 |