Identification of Mutational Clusters in 3D Protein Space via Simulation.

Bioconductor version: Release (2.14)

Identifies clustering of somatic mutations in proteins via a simulation approach while considering the protein's tertiary structure.

Author: Gregory Ryslik, Hongyu Zhao

Maintainer: Gregory Ryslik <gregory.ryslik at>

To install this package, start R and enter:


Citation (from within R, enter citation("SpacePAC")):


PDF R Script SpacePAC: Identifying mutational clusters in 3D protein space using simulation
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biocViews Clustering, Proteomics, Software
Version 1.2.0
In Bioconductor since BioC 2.13 (R-3.0)
License GPL-2
Depends R (>= 2.15), iPAC
Suggests RUnit, BiocGenerics, rgl
System Requirements
Depends On Me
Imports Me
Suggests Me

Package Downloads

Package Source SpacePAC_1.2.0.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) SpacePAC_1.2.0.tgz
Mac OS X 10.9 (Mavericks) SpacePAC_1.2.0.tgz
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