DOI: 10.18129/B9.bioc.BioNAR  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see BioNAR.

Biological Network Analysis in R

Bioconductor version: 3.17

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.

Author: Colin Mclean [aut], Anatoly Sorokin [aut, cre], Oksana Sorokina [aut], J. Douglas Armstrong [aut, fnd], T. Ian Simpson [ctb, fnd]

Maintainer: Anatoly Sorokin <lptolik at>

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biocViews GraphAndNetwork, Network, Software
Version 1.2.5
In Bioconductor since BioC 3.16 (R-4.2) (1 year)
License Artistic-2.0
Depends R (>= 3.5.0), igraph (>= 1.4.0), poweRlaw, latex2exp, RSpectra, Rdpack
Imports stringr, viridis, synaptome.db, clusterCons, fgsea, grid, methods, AnnotationDbi, dplyr, GO.db,, rSpectral, WGCNA, ggplot2, ggrepel, minpack.lm, cowplot, data.table, scales, stats
Suggests knitr, rmarkdown, igraphdata, testthat (>= 3.0.0), vdiffr, devtools, pander, plotly, randomcoloR
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