COMETS Analytics

COMETS Analytics standardizes and automates consortium-based statistical analyses of metabolomics and other -omics datasets to enable reproducible cross-cohort comparisons.

Key Features:

• Data protection and deployment flexibility: Supports local and server-based deployment to enable local data protection or centralized computation.
• Standardized analytical approach: Implements an algorithmic, reproducible methodology that standardizes analyses across cohorts and removes the need for cohort-specific manual model customization.
• Model diagnostics and reproducibility: Automates diagnosis, documentation, and correction of model issues to enhance analytical reproducibility.
• Scalability: Processes large-scale consortium datasets across many cohorts and metabolites.

Scientific Applications:

• Consortium-based metabolomics analysis: Enables standardized, reproducible analysis across multiple cohort studies for metabolomics and other -omics datasets.
• Large-scale validation: Demonstrated on 45 cohort studies comprising up to 134,742 participants and 4,647 metabolites.
• Epidemiology and biomedical research: Supports population-scale analyses for biomarker discovery and epidemiological association studies.

Methodology:

Implements an algorithmic, reproducible framework that standardizes cohort analyses and automates diagnosis, documentation, and correction of model issues.