Exploring the Genetic Landscape of Metabolic Phenotypes with MetaboSignal.

Exploring the Genetic Landscape of Metabolic Phenotypes with MetaboSignal. Curr Protoc Bioinformatics. 2018 Mar;61(1):14.14.1-14.14.13 Authors: Rodriguez-Martinez A, Ayala R, Posma JM, Dumas ME Abstract MetaboSignal is an R/Bioconductor package designed to explore the relationships between genes and metabolites, using the Kyoto Encyclopedia of Genes and Genomes (KEGG) as its primary database. It is a network-based approach that allows overlaying metabolic and signaling pathways and exploring the topological relationship between genes (signaling or metabolic genes) and metabolites. MetaboSignal is ideally suited to identify candidate genes in metabolome genome-wide association studies (mGWAS), particularly in the case of trans-acting associations. It can also be used to provide mechanistic explanations of perturbed metabolic patterns observed in genetic models, as well as to identify novel target metabolic pathways of signaling genes. © 2018 by John Wiley & Sons, Inc. PMID: 30040169 [PubMed - in process]
Source: Current Protocols in Bioinformatics - Category: Bioinformatics Tags: Curr Protoc Bioinformatics Source Type: research