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Updated: Apr 8, 2026

Author Spotlight: Emerging Technologies and Advanced Tools for Decoding Metabolomics Data Analysis
Published on: November 10, 2023
MetabNet: An R Package for Metabolic Association Analysis of High-Resolution Metabolomics Data
Karan Uppal1, Quinlyn A Soltow1, Daniel E L Promislow2
1Division of Pulmonary Medicine, Department of Medicine, Emory University , Atlanta, GA , USA.
Abstract:
Liquid-chromatography high-resolution mass spectrometry provides capability to measure >40,000 ions derived from metabolites in biologic samples. This presents challenges to confirm identities of known chemicals and delineate potential metabolic pathway associations of unidentified chemicals. We provide an R package for metabolic network analysis, MetabNet, to perform targeted metabolome-wide association study of specific metabolites to facilitate detection of their related metabolic pathways and network structures.

