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BioNAR

Biological Network Analysis in R

Bioconductor version: 3.24 · Package version: 1.15.0

the R package BioNAR, developed to step by step analysis of PPI network. The aim is to quantify and rank each protein’s simultaneous impact into multiple complexes based on network topology and clustering. Package also enables estimating of co-occurrence of diseases across the network and specific clusters pointing towards shared/common mechanisms.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("BioNAR")

Details

MaintainerAnatoly Sorokin <lptolik@gmail.com>
AuthorColin Mclean [aut], Anatoly Sorokin [aut, cre], Oksana Sorokina [aut], J. Douglas Armstrong [aut, fnd], T. Ian Simpson [ctb, fnd]
LicenseArtistic-2.0
Bug Reportshttps://github.com/lptolik/BioNAR/issues/
Downloads rank416
Source branchdevel
biocViewsGraphAndNetwork, Network, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageBioNAR_1.15.0.tar.gz
Windows binary (x86_64)BioNAR_1.15.0.zip
macOS binary (arm64)BioNAR_1.15.0.tgz
macOS binary (x86_64)BioNAR_1.15.0.tgz
Dependencies

Depends: R (>= 3.5.0), igraph (>= 2.0.1.1), poweRlaw, latex2exp, RSpectra, Rdpack

Imports: stringr, viridis, fgsea, grid, methods, AnnotationDbi, dplyr, GO.db, org.Hs.eg.db (>= 3.19.1), rSpectral, WGCNA, ggplot2, ggrepel, minpack.lm, cowplot, data.table, scales, stats, Matrix

Suggests: knitr, BiocStyle, magick, rmarkdown, igraphdata, testthat (>= 3.0.0), vdiffr, devtools, pander, plotly, randomcoloR