iPAC
Identification of Protein Amino acid Clustering
Bioconductor version: Release (2.11)
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("iPAC")
To cite this package in a publication, start R and enter:
citation("iPAC")
Documentation
| R Script | iPAC: identification of Protein Amino acid Mutations | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Bioinformatics, BiologicalDomains, Clustering, Proteomics, Software |
| Version | 1.0.0 |
| In Bioconductor since | BioC 2.11 (R-2.15) |
| License | GPL-2 |
| Depends | R(>= 2.15),gdata, scatterplot3d, Biostrings, multtest |
| Imports | |
| Suggests | |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Downloads
| Package Source | iPAC_1.0.0.tar.gz |
| Windows Binary | iPAC_1.0.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) | iPAC_1.0.0.tgz |
| Package Downloads Report | Download Stats |
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