3MCor

3MCor performs integrative correlation analysis between metabolomic and microbiomic datasets using phenotypic information and accounting for potential confounders.

Key Features:

• Integrative Analysis: Performs intra-omics and inter-omics correlation analyses across metabolomic and microbiomic data using multiple correlation methods.
• Phenotype-Guided Analysis: Incorporates phenotypic information to guide correlation analyses and preserve biological relevance.
• Confounder Consideration: Accounts for potential confounders within the analysis framework to reduce bias in correlation results.
• Multi-Pipeline Approach: Implements three inter-correlation pipelines—global, hierarchical, and pairwise analyses—for different analytical perspectives.
• Network Analysis Functionality: Constructs and analyzes correlation networks to identify clusters and key nodes within metabolome-microbiome associations.
• Output Formats: Produces numerical results in CSV format and visualizations in PDF format.
• Platform Independence: Operates independently of specific measurement platforms.

Scientific Applications:

• Dual-omics correlation analysis: Identifying associations between metabolomic profiles and microbiome compositions guided by phenotype and controlled for confounders.
• Disease mechanism investigation: Detecting phenotype-associated metabolite–microbe correlations that may inform understanding of disease mechanisms.
• Personalized medicine and life sciences research: Supporting discovery of metabolite–microbe relationships relevant to personalized medicine and broader biological studies.

Methodology:

Integrates diverse correlation analysis techniques for intra-omics and inter-omics investigations, provides network analysis for visualization and interpretation, and implements three inter-correlation pipelines (global, hierarchical, pairwise).