Package: PanViz
Type: Package
Title: Integrating Multi-Omic Network Data With Summay-Level GWAS Data
Version: 1.5.0
Authors@R: person("Luca", "Anholt", email = "la1317@ic.ac.uk", role=c("cre", "aut"))
Description: This pacakge integrates data from the Kyoto Encyclopedia of Genes and Genomes (KEGG) 
    with summary-level genome-wide association (GWAS) data, such as that provided by the 
    GWAS Catalog or GWAS Central databases, or a user's own study or dataset, in order to produce
    biological networks, termed IMONs (Integrated Multi-Omic Networks). IMONs can be used to analyse
    trait-specific polymorphic data within the context of biochemical and metabolic reaction networks, 
    providing greater biological interpretability for GWAS data.
License: Artistic-2.0
Encoding: UTF-8
LazyData: false
RoxygenNote: 7.1.2
BugReports: https://github.com/LucaAnholt/PanViz/issues
URL: https://github.com/LucaAnholt/PanViz
Imports: 
    tidyr,
    stringr,
    dplyr,
    tibble,
    magrittr,
    futile.logger,
    utils,
    easycsv,
    rentrez,
    igraph,
    RColorBrewer,
    data.table,
    colorspace,
    grDevices,
    rlang, 
    methods
Depends: 
    R (>= 4.2.0)
Suggests: 
    testthat (>= 3.0.0), 
    BiocStyle, 
    knitr,
    rmarkdown,
    networkD3,
Config/testthat/edition: 3
VignetteBuilder: knitr
BiocType: Software
biocViews: GenomeWideAssociation, Reactome, Metabolomics, SNP, GraphAndNetwork, Network, KEGG