MetaboSignal

MetaboSignal integrates metabolic and signaling pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) using a network-based approach implemented as an R package to analyze topological relationships between signaling and metabolic genes and metabolites for the study of genetic determinants of metabolic phenotypes.


Key Features:

  • Integration of Pathways: MetaboSignal merges metabolic and signaling pathways from KEGG into combined network models.
  • Network-Based Analysis: It analyzes network topology to elucidate relationships between signaling genes, metabolic genes, and metabolites.
  • Customization and Analysis: The package permits customization of analyses to suit specific research needs.

Scientific Applications:

  • Analysis of metabolic phenotypes: Facilitates investigation of genetic determinants of metabolic phenotypes via integrated gene–metabolite networks.
  • Systems biology and genomics: Supports systems biology, genomics, and bioinformatics studies by providing network-level views of signaling and metabolic pathways.
  • Identification of regulatory mechanisms and targets: Aids in uncovering regulatory mechanisms and potential therapeutic targets through network analysis of signaling–metabolic interactions.

Methodology:

MetaboSignal extracts and merges pathway data from KEGG and performs network-based analysis to investigate topological gene-metabolite interactions.

Topics

Collections

Details

License:
GPL-3.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
1/13/2019

Operations

Publications

Rodriguez-Martinez A, Ayala R, Posma JM, Neves AL, Gauguier D, Nicholson JK, Dumas M. MetaboSignal: a network-based approach for topological analysis of metabotype regulation <i>via</i> metabolic and signaling pathways. Bioinformatics. 2016;33(5):773-775. doi:10.1093/bioinformatics/btw697. PMID:28011775. PMCID:PMC5408820.

PMID: 28011775
PMCID: PMC5408820
Funding: - Medical Research Council Doctoral Training Centre: MR/K501281/1 - Imperial College: EP/M506345/1 - Portuguese Foundation for Science and Technology: SFRH/BD/52036/2012 - European Commission: EURATRANS, FGENTCARD, HEALTH-F4-2010-241504, HEALTH-F4-2012-305312, LSHG-CT-2006-037683, METACARDIS

Documentation

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