Package: iPAC 1.51.0

Gregory Ryslik

iPAC: Identification of Protein Amino acid Clustering

iPAC is a novel tool to identify somatic amino acid mutation clustering within proteins while taking into account protein structure.

Authors:Gregory Ryslik, Hongyu Zhao

iPAC_1.51.0.tar.gz
iPAC_1.51.0.zip(r-4.5)iPAC_1.51.0.zip(r-4.4)iPAC_1.51.0.zip(r-4.3)
iPAC_1.51.0.tgz(r-4.4-any)iPAC_1.51.0.tgz(r-4.3-any)
iPAC_1.51.0.tar.gz(r-4.5-noble)iPAC_1.51.0.tar.gz(r-4.4-noble)
iPAC_1.51.0.tgz(r-4.4-emscripten)iPAC_1.51.0.tgz(r-4.3-emscripten)
iPAC.pdf |iPAC.html
iPAC/json (API)
NEWS

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

Peer review:

Datasets:

On BioConductor:iPAC-1.51.0(bioc 3.21)iPAC-1.50.0(bioc 3.20)

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

clusteringproteomics

5.43 score 3 packages 3 scripts 244 downloads 14 mentions 8 exports 29 dependencies

Last updated 2 months agofrom:8338c572b4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-winOKNov 29 2024
R-4.5-linuxOKNov 29 2024
R-4.4-winOKNov 29 2024
R-4.4-macOKNov 29 2024
R-4.3-winOKNov 29 2024
R-4.3-macOKNov 29 2024

Exports:ClusterFindget.AASeqget.AlignedPositionsget.Positionsget.Remapped.Orderget.SingleLetterCodenmcPlot.Protein.Linear

Dependencies:askpassBiobaseBiocGenericsBiostringscrayoncurlgdatagenericsGenomeInfoDbGenomeInfoDbDatagtoolshttrIRangesjsonlitelatticeMASSMatrixmimemulttestopensslpwalignR6S4Vectorsscatterplot3dsurvivalsysUCSC.utilsXVectorzlibbioc

iPAC: identification of Protein Amino acid Mutations

Rendered fromiPAC.Rnwusingutils::Sweaveon Nov 29 2024.

Last update: 2024-04-25
Started: 2012-08-07

Readme and manuals

Help Manual

Help pageTopics
Identification of Protein Amino acid mutation ClusteringiPAC-package iPAC
ClusterFindClusterFind
get.AASeqget.AASeq
get.AlignedPositionsget.AlignedPositions
get.Positionsget.Positions
get.Remapped.Orderget.Remapped.Order
get.SingleLetterCodeget.SingleLetterCode
KRAS.MutationsKRAS.Mutations
nmcnmc
PIK3CA.MutationsPIK3CA.Mutations
Plot.Protein.LinearPlot.Protein.Linear