MetaComp

MetaComp performs comparative analysis of meta-omics datasets, including metagenomics, metatranscriptomics, metaproteomics, and metabolomics, to elucidate diversity and interactions within microbial communities across environmental conditions.

Key Features:

• Integration of Multi-Omics Data: Handles metagenomics, metatranscriptomics, metaproteomics, and metabolomics datasets for comparative analyses of taxon composition and functional gene abundance.
• Statistical Analysis Approaches: Implements multivariate statistics, hypothesis testing for two-sample, multi-sample, and two-group sample comparisons, and function-regression analysis relating meta-omic features (independent variables) to environmental factors (dependent variables).
• Automated Test Selection: Automatically selects an appropriate two-group sample test based on input abundance profile characteristics.
• Data Compatibility: Reads files generated by a variety of upstream programs.
• Visualized Results: Generates visual representations of analysis outputs.

Scientific Applications:

• Correlation Analysis: Examining correlations between meta-omic features and environmental factors to assess community–environment relationships.
• Community Adaptation Studies: Investigating adaptation strategies of microbial communities by integrating taxonomic and functional data across conditions.
• Microbial Ecology and Environmental Microbiology: Supporting studies that require integrated multi-omics comparisons to characterize microbial community structure and function.

Methodology:

Loads multi-omics data and performs comprehensive statistical analyses, including multivariate statistics, hypothesis testing, and function-regression analysis to assess environmental influences, with automated selection of appropriate two-group sample tests.