COMETS Analytics: An Online Tool for Analyzing and Meta-Analyzing Metabolomics Data in Large Research Consortia

Area of Science:

• Biomedical research
• Epidemiology
• Metabolomics
• Omics data analysis

Background:

• Consortium-based research requires robust tools for reliable findings.
• Existing tools have limitations in data protection, deployment, and analytical rigor.
• Metabolomics research is rapidly expanding, necessitating advanced analytical solutions.

Purpose of the Study:

• To develop and introduce COnsortium of METabolomics Studies (COMETS) Analytics.
• To address the drawbacks of existing tools for consortium-based omics data analysis.
• To enhance data protection, ease of deployment, and analytical rigor in large-scale studies.

Main Methods:

• COMETS Analytics offers local execution for data protection and web-based options for convenience.
• It employs an algorithmic, reproducible approach for standardized analyses across cohorts.
• The tool diagnoses, documents, and resolves model issues, minimizing manual customization.

Main Results:

• COMETS Analytics was successfully applied to 2 data analyses across 45 cohort studies.
• The analyses involved measurements of 4,647 metabolites in up to 134,742 participants.
• Analysts experienced minimal errors, and all attempted models were executed successfully, demonstrating scalability.

Conclusions:

• COMETS Analytics effectively supports and streamlines consortium-based metabolomics and omics research.
• The tool enhances analytical reproducibility and accelerates project timelines.
• It is a valuable resource for the growing number of biomedical and epidemiologic researchers utilizing large-scale consortium data.