DOI: 10.18129/B9.bioc.PanViz  

This is the development version of PanViz; for the stable release version, see PanViz.

Integrating Multi-Omic Network Data With Summay-Level GWAS Data

Bioconductor version: Development (3.19)

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.

Author: Luca Anholt [cre, aut]

Maintainer: Luca Anholt <la1317 at>

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biocViews GenomeWideAssociation, GraphAndNetwork, KEGG, Metabolomics, Network, Reactome, SNP, Software
Version 1.5.0
In Bioconductor since BioC 3.16 (R-4.2) (1 year)
License Artistic-2.0
Depends R (>= 4.2.0)
Imports tidyr, stringr, dplyr, tibble, magrittr, futile.logger, utils, easycsv, rentrez, igraph, RColorBrewer, data.table, colorspace, grDevices, rlang, methods
Suggests testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, networkD3
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