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MetaboSignal: a network-based approach to overlay and explore metabolic and signaling KEGG pathways

Bioconductor version: Release (3.19)

MetaboSignal is an R package that allows merging, analyzing and customizing metabolic and signaling KEGG pathways. It is a network-based approach designed to explore the topological relationship between genes (signaling- or enzymatic-genes) and metabolites, representing a powerful tool to investigate the genetic landscape and regulatory networks of metabolic phenotypes.

Author: Andrea Rodriguez-Martinez, Rafael Ayala, Joram M. Posma, Ana L. Neves, Maryam Anwar, Jeremy K. Nicholson, Marc-Emmanuel Dumas

Maintainer: Andrea Rodriguez-Martinez <andrea.rodriguez-martinez13 at>, Rafael Ayala <rafaelayalahernandez at>

Citation (from within R, enter citation("MetaboSignal")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

MetaboSignal HTML R Script
MetaboSignal 2: merging KEGG with additional interaction resources HTML R Script
Reference Manual PDF


biocViews GeneSignaling, GeneTarget, GraphAndNetwork, KEGG, Network, Pathways, Reactome, Software
Version 1.34.0
In Bioconductor since BioC 3.4 (R-3.3) (8 years)
License GPL-3
Depends R (>= 3.3)
Imports KEGGgraph, hpar, igraph, RCurl, KEGGREST, EnsDb.Hsapiens.v75, stats, graphics, utils,, biomaRt, AnnotationDbi, MWASTools, mygene
System Requirements
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Suggests RUnit, BiocGenerics, knitr, BiocStyle, rmarkdown
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Follow Installation instructions to use this package in your R session.

Source Package MetaboSignal_1.34.0.tar.gz
Windows Binary
macOS Binary (x86_64) MetaboSignal_1.34.0.tgz
macOS Binary (arm64) MetaboSignal_1.34.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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