workflow

workflow performs statistical analysis of metabolites to identify associations between numerous metabolites and specific traits, such as age in humans or cultivar types in foods, in metabolomics studies.

Key Features:

• Integration of R Packages: Integrates a curated selection of R packages to perform robust and comprehensive statistical analyses of metabolomics data.
• Reproducibility and Transparency: Supports reproducible and transparent computational analyses adhering to modern standards.
• Flexibility and Reusability: Applicable to diverse metabolomics datasets for analyses focused on associations between metabolites and a single covariate of interest.

Scientific Applications:

• Metabolomics Research: Supports large-scale metabolomics studies by providing structured statistical analysis of complex metabolite datasets.
• Trait Association Studies: Investigates correlations between multiple metabolites and specific traits to identify biological insights and potential biomarkers (e.g., age or cultivar type).

Methodology:

The workflow integrates selected R packages to perform complete statistical analyses and was demonstrated on a large-scale study using publicly available repository data.