Package: BioNAR
Title: Biological Network Analysis in R
Version: 1.0.0
Authors@R: c(
    person("Colin", "Mclean", 
        email="Colin.D.Mclean@ed.ac.uk", role="aut"), 
    person("Anatoly", "Sorokin", 
        email="lptolik@gmail.com", role=c("aut", "cre")), 
    person("Oksana", "Sorokina", 
        email="oksana.sorokina@ed.ac.uk", role="aut"),
    person("J. Douglas", "Armstrong", 
        email="Douglas.Armstrong@ed.ac.uk", role = c("aut","fnd")),
    person("T. Ian", "Simpson", 
        email="Ian.Simpson@ed.ac.uk", role = c("ctb","fnd")) )
Description: 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. 
License: Artistic-2.0
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.1
Depends: R (>= 3.5.0), igraph, poweRlaw, latex2exp, RSpectra, Rdpack
Imports: stringr, synaptome.db, clusterCons, fgsea, grid, methods,
        scales, AnnotationDbi, dplyr, GO.db, org.Hs.eg.db, rSpectral,
        WGCNA, ggplot2, ggrepel
RdMacros: Rdpack
Suggests: knitr, rmarkdown, igraphdata, testthat (>= 3.0.0), vdiffr,
        devtools, pander, plotly, randomcoloR
Config/testthat/edition: 3
VignetteBuilder: knitr
biocViews: Software, GraphAndNetwork, Network
git_url: https://git.bioconductor.org/packages/BioNAR
git_branch: RELEASE_3_16
git_last_commit: f9c6c3c
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: no
Packaged: 2022-11-01 21:00:25 UTC; biocbuild
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@gmail.com>
