Package: SpacePAC 1.45.0

Gregory Ryslik

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

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

Authors:Gregory Ryslik, Hongyu Zhao

SpacePAC_1.45.0.tar.gz
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SpacePAC.pdf |SpacePAC.html✨
SpacePAC/json (API)
NEWS

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

Peer review:

On BioConductor:SpacePAC-1.45.0(bioc 3.21)SpacePAC-1.44.0(bioc 3.20)

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 2 scripts 224 downloads 5 mentions 2 exports 29 dependencies

Last updated 3 months agofrom:1b3b2da543. Checks:1 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKDec 30 2024
R-4.5-winNOTEDec 31 2024
R-4.5-linuxNOTEDec 30 2024
R-4.4-winNOTEDec 31 2024
R-4.4-macNOTEDec 30 2024
R-4.3-winNOTEDec 31 2024
R-4.3-macNOTEDec 30 2024

Exports:make.3D.SphereSpaceClust

Dependencies:askpassBiobaseBiocGenericsBiostringscrayoncurlgdatagenericsGenomeInfoDbGenomeInfoDbDatagtoolshttriPACIRangesjsonlitelatticeMASSMatrixmimemulttestopensslpwalignR6S4Vectorsscatterplot3dsurvivalsysUCSC.utilsXVector

SpacePAC: Identifying mutational clusters in 3D protein space using simulation

Rendered fromSpacePAC.Rnwusingutils::Sweaveon Dec 30 2024.

Last update: 2018-08-22
Started: 2013-08-26