This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see PanViz.
Bioconductor version: 3.17
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 ic.ac.uk>
Citation (from within R,
enter citation("PanViz")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("PanViz")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PanViz")
HTML | R Script | PanViz |
Reference Manual |
biocViews | GenomeWideAssociation, GraphAndNetwork, KEGG, Metabolomics, Network, Reactome, SNP, Software |
Version | 1.2.0 |
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 |
LinkingTo | |
Suggests | testthat (>= 3.0.0), BiocStyle, knitr, rmarkdown, networkD3 |
SystemRequirements | |
Enhances | |
URL | https://github.com/LucaAnholt/PanViz |
BugReports | https://github.com/LucaAnholt/PanViz/issues |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | PanViz_1.2.0.tar.gz |
Windows Binary | PanViz_1.2.0.zip |
macOS Binary (x86_64) | PanViz_1.2.0.tgz |
macOS Binary (arm64) | PanViz_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/PanViz |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/PanViz |
Bioc Package Browser | https://code.bioconductor.org/browse/PanViz/ |
Package Short Url | https://bioconductor.org/packages/PanViz/ |
Package Downloads Report | Download Stats |
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