Path2PPI
Prediction of pathway-related protein-protein interaction networks
Bioconductor version: 3.23 · Package version: 1.42.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
Package to predict protein-protein interaction (PPI) networks in target organisms for which only a view information about PPIs is available. Path2PPI predicts PPI networks based on sets of proteins which can belong to a certain pathway from well-established model organisms. It helps to combine and transfer information of a certain pathway or biological process from several reference organisms to one target organism. Path2PPI only depends on the sequence similarity of the involved proteins.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("Path2PPI")Details
| Maintainer | Oliver Philipp <contact@oliverphilipp.info> |
| Author | Oliver Philipp [aut, cre], Ina Koch [ctb] |
| License | GPL (>= 2) |
| URL | http://www.bioinformatik.uni-frankfurt.de/ |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Network, NetworkInference, Pathways, Proteomics, Software, SystemsBiology |
| Package Short Url | https://bioconductor.org/packages/Path2PPI/ |
Citation
From within R, enter citation("Path2PPI"):
Oliver Philipp. Path2PPI: Prediction of pathway-related protein-protein interaction networks. doi:10.18129/B9.bioc.Path2PPI, R package version 1.42.0, https://bioconductor.org/packages/Path2PPI.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | Path2PPI_1.42.0.tar.gz |
| Windows binary (x86_64) | Path2PPI_1.42.0.zip |
| macOS binary (arm64) | Path2PPI_1.42.0.tgz |
| macOS binary (x86_64) | Path2PPI_1.42.0.tgz |
Dependencies
Depends: R (>= 3.2.1), igraph (>= 1.0.1), methods
Suggests: knitr, rmarkdown, RUnit, BiocGenerics, BiocStyle