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 | |
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 |
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_1.50.0.zip (64-bit only) |
macOS Binary (x86_64) | |
macOS Binary (arm64) | iPAC_1.49.0.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 |