Package: SpacePAC 1.43.0

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_1.43.0.tar.gz
SpacePAC_1.43.0.zip(r-4.5)SpacePAC_1.43.0.zip(r-4.4)SpacePAC_1.43.0.zip(r-4.3)
SpacePAC_1.43.0.tgz(r-4.4-any)SpacePAC_1.43.0.tgz(r-4.3-any)
SpacePAC_1.43.0.tar.gz(r-4.5-noble)SpacePAC_1.43.0.tar.gz(r-4.4-noble)
SpacePAC_1.43.0.tgz(r-4.4-emscripten)SpacePAC_1.43.0.tgz(r-4.3-emscripten)
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-1.43.0(bioc 3.20)SpacePAC-1.42.0(bioc 3.19)

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

bioconductor-package

2 exports 1.95 score 29 dependencies 1 dependents 5 mentions

Last updated 2 months agofrom:0496197ecb

Exports:make.3D.SphereSpaceClust

Dependencies:askpassBiobaseBiocGenericsBiostringscrayoncurlgdataGenomeInfoDbGenomeInfoDbDatagtoolshttriPACIRangesjsonlitelatticeMASSMatrixmimemulttestopensslpwalignR6S4Vectorsscatterplot3dsurvivalsysUCSC.utilsXVectorzlibbioc

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

Rendered fromSpacePAC.Rnwusingutils::Sweaveon Jul 03 2024.

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