To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("iPAC")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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 and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("iPAC")
    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 | Bioinformatics, BiologicalDomains, Clustering, Proteomics, Software | 
| Version | 1.6.0 | 
| 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 | GraphPAC, SpacePAC | 
| Imports Me | |
| Suggests Me | 
Follow Installation instructions to use this package in your R session.
| Package Source | iPAC_1.6.0.tar.gz | 
| Windows Binary | iPAC_1.6.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | iPAC_1.6.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
  Common Bioconductor workflows include:
 
  
  Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!