R Graphical Manual

Last data update: 2014.03.03

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Results 1 - 3 of 3 found.
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GraphPAC : Identification of Mutational Clusters in Proteins via a Graph Theoretical Approach.

Package: GraphPAC
Type: Package
Title: Identification of Mutational Clusters in Proteins via a Graph
Theoretical Approach.
Version: 1.14.0
Date: 2012-12-9
Author: Gregory Ryslik, Hongyu Zhao
Maintainer: Gregory Ryslik <gregory.ryslik@yale.edu>
Description: Identifies mutational clusters of amino acids in a protein
while utilizing the proteins tertiary structure via a graph
theoretical model.
License: GPL-2
Depends: R (>= 2.15), iPAC, igraph, TSP, RMallow
Suggests: RUnit, BiocGenerics
Repository: Bioconductor
biocViews: Clustering, Proteomics
NeedsCompilation: no
Packaged: 2016-05-04 04:49:31 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Clustering, Proteomics
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 1

QuartPAC : Identification of mutational clusters in protein quaternary structures.

Package: QuartPAC
Type: Package
Title: Identification of mutational clusters in protein quaternary
structures.
Version: 1.4.0
Date: 2014-09-25
Author: Gregory Ryslik, Yuwei Cheng, Hongyu Zhao
Maintainer: Gregory Ryslik <gregory.ryslik@yale.edu>
Description: Identifies clustering of somatic mutations in proteins
over the entire quaternary structure.
License: GPL-2
biocViews: Clustering, Proteomics, SomaticMutation
Depends: iPAC, GraphPAC, SpacePAC, data.table
Suggests: RUnit, BiocGenerics, rgl
NeedsCompilation: no
Packaged: 2016-05-04 05:57:42 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Clustering, Proteomics, SomaticMutation
● 0 images, 4 functions, 0 datasets
● Reverse Depends: 0

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

Package: SpacePAC
Type: Package
Title: Identification of Mutational Clusters in 3D Protein Space via
Simulation.
Version: 1.10.0
Date: 2013-05-23
Author: Gregory Ryslik, Hongyu Zhao
Maintainer: Gregory Ryslik <gregory.ryslik@yale.edu>
Description: Identifies clustering of somatic mutations in proteins via a simulation approach while considering the protein's tertiary structure.
biocViews: Clustering, Proteomics
License: GPL-2
Depends: R (>= 2.15), iPAC
Suggests: RUnit, BiocGenerics, rgl
Repository: Bioconductor
NeedsCompilation: no
Packaged: 2016-05-04 05:03:30 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Clustering, Proteomics
● 0 images, 3 functions, 0 datasets
● Reverse Depends: 1