Package: GraphPAC 1.49.0

Gregory Ryslik

GraphPAC: Identification of Mutational Clusters in Proteins via a Graph Theoretical Approach.

Identifies mutational clusters of amino acids in a protein while utilizing the proteins tertiary structure via a graph theoretical model.

Authors:Gregory Ryslik, Hongyu Zhao

GraphPAC_1.49.0.tar.gz
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GraphPAC.pdf |GraphPAC.html✨
GraphPAC/json (API)
NEWS

# Install 'GraphPAC' in R:
install.packages('GraphPAC', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On BioConductor:GraphPAC-1.47.0(bioc 3.20)GraphPAC-1.46.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

clusteringproteomics

4.48 score 1 packages 1 scripts 231 downloads 5 mentions 3 exports 44 dependencies

Last updated 23 days agofrom:fbd6916f9a. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 31 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 31 2024
R-4.4-macNOTEOct 31 2024
R-4.3-winNOTEOct 31 2024
R-4.3-macNOTEOct 31 2024

Exports:Find.TSP.PathGraphClustPlot.Protein

Dependencies:askpassBiobaseBiocGenericsBiostringsclicodetoolscombinatcpp11crayoncurlforeachgdataGenomeInfoDbGenomeInfoDbDatagluegtoolshttrigraphiPACIRangesiteratorsjsonlitelatticelifecyclemagrittrMASSMatrixmimemulttestopensslpkgconfigpwalignR6rlangRMallowS4Vectorsscatterplot3dsurvivalsysTSPUCSC.utilsvctrsXVectorzlibbioc

iPAC: identification of Protein Amino acid Mutations

Rendered fromGraphPAC.Rnwusingutils::Sweaveon Oct 30 2024.

Last update: 2018-08-20
Started: 2012-12-15