Evidence Based Microbial Associations Miner (EviMass)

Evidence Based Microbial Associations Miner (EviMass) mines biomedical literature to identify and validate microbe-microbe and microbe-disease associations in human microbiome studies.

Key Features:

• Evidence-Based Mining: A processed back-end database compiles biomedical literature to support validation of reported microbial associations.
• Interactive Querying: Querying supports retrieval of specific microbe-microbe and disease-microbe associations from the literature-backed database.
• Network Validation: Accepts microbial association networks from human disease-control microbiome studies and validates associations against the literature database.
• Differential Abundance Analysis: Enables querying of lists of differentially abundant microbes reported for specific diseases to retrieve supporting evidence.
• Comprehensive Data Presentation: Returns results as graphical plots, tabulated summaries, and detailed evidence statistics.

Scientific Applications:

• Hypothesis generation: Mining literature-backed associations to generate and prioritize hypotheses about microbe-microbe and microbe-disease relationships.
• Network validation: Validating association networks derived from human disease-control microbiome studies against published evidence.
• Contextualizing differential abundance: Contextualizing lists of differentially abundant microbes with literature evidence to assess disease associations.

Methodology:

Integration of a processed back-end biomedical literature database with high-throughput metagenomic and transcriptomic data to validate and contextualize microbial associations.