Package: PanViz
Type: Package
Title: Integrating Multi-Omic Network Data With Summay-Level GWAS Data
Version: 1.0.0
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
git_url: https://git.bioconductor.org/packages/PanViz
git_branch: RELEASE_3_16
git_last_commit: 3b05719
git_last_commit_date: 2022-11-01
Date/Publication: 2022-11-01
NeedsCompilation: no
Packaged: 2022-11-01 22:28:44 UTC; biocbuild
Author: Luca Anholt [cre, aut]
Maintainer: Luca Anholt <la1317@ic.ac.uk>
Built: R 4.2.1; ; 2022-11-02 04:42:11 UTC; unix
