This package is for version 3.8 of Bioconductor; for the stable, up-to-date release version, see iPAC.
Bioconductor version: 3.8
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")
):
To install this package, start R (version "3.5") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("iPAC")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("iPAC")
R Script | iPAC: identification of Protein Amino acid Mutations | |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, Proteomics, Software |
Version | 1.26.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (6.5 years) |
License | GPL-2 |
Depends | R (>= 2.15), gdata, scatterplot3d, Biostrings, multtest |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | GraphPAC, QuartPAC, SpacePAC |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | iPAC_1.26.0.tar.gz |
Windows Binary | iPAC_1.26.0.zip |
Mac OS X 10.11 (El Capitan) | iPAC_1.26.0.tgz |
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 | http://bioconductor.org/packages/iPAC/ |
Package Downloads Report | Download Stats |
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