LucaAnholt/PanViz: Integrating Multi-Omic Network Data With Summay-Level GWAS Data

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.

Getting started

Package details

Bioconductor views GenomeWideAssociation GraphAndNetwork KEGG Metabolomics Network Reactome SNP
Maintainer
LicenseArtistic-2.0
Version0.99.4
URL https://github.com/LucaAnholt/PanViz
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("LucaAnholt/PanViz")
LucaAnholt/PanViz documentation built on April 17, 2022, 7:28 a.m.