MANTA_DB

MANTA_DB correlates microbiota composition with host phenotypic traits to enable integrative analysis of microbial community–phenotype relationships.

Key Features:

• Integrative Database: Centralized storage and management of microbiota and phenotypic datasets to enable joint analyses of microbial abundances and host traits.
• Correlation Analysis: Statistical identification of significant associations between microbial abundances and host phenotypic variables.
• Computational Mapping and Interpretation: Analytical procedures to map, analyze, and interpret relationships between microbiota composition and host phenotypes rather than focusing solely on taxonomic profiling or group comparisons.

Scientific Applications:

• Correlation discovery: Identification of significant correlations between microbial abundances and phenotypic traits.
• Research domains: Application to studies in personalized medicine, nutrition, and disease pathogenesis involving microbiome–host trait associations.

Methodology:

Computational methods map, analyze, and interpret relationships between microbiota composition and host phenotypes and perform direct correlation analysis instead of primarily conducting taxonomic profiling or comparative group analysis.