MetaboSignal: a network-based approach for topological analysis of metabotype regulation via metabolic and signaling pathways | Zendy

Andrea RodriguezMartinez | Zendy; Rafael Ayala | Zendy; Joram M. Posma | Zendy; Ana Luísa Neves | Zendy; Dominique Gauguier | Zendy; Jeremy K. Nicholson | Zendy; MarcEmmanuel Dumas | Zendy

Open Access

MetaboSignal: a network-based approach for topological analysis of metabotype regulation via metabolic and signaling pathways

Author(s) -

Andrea RodriguezMartinez,

Rafael Ayala,

Joram M. Posma,

Ana Luísa Neves,

Dominique Gauguier,

Jeremy K. Nicholson,

MarcEmmanuel Dumas

Publication year - 2016

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btw697

Subject(s) - pathway analysis , metabolic pathway , computer science , signal transduction , computational biology , topology (electrical circuits) , biology , microbiology and biotechnology , mathematics , genetics , gene , gene expression , combinatorics

MetaboSignal is an R package that allows merging metabolic and signaling pathways reported in the Kyoto Encyclopaedia of Genes and Genomes (KEGG). It is a network-based approach designed to navigate through topological relationships between genes (signaling- or metabolic-genes) and metabolites, representing a powerful tool to investigate the genetic landscape of metabolic phenotypes.

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