AgroSeek

AgroSeek analyzes environmental metagenomic data to compare antibiotic resistance gene (ARG) distributions across agricultural ecosystems and assess how management practices affect human and animal health.

Key Features:

• Centralized data integration: Integrates user-contributed metagenomic datasets and associated metadata with publicly available resources to provide contextualized analyses.
• Comparative ARG analysis: Compares ARG distributions and prevalence across studies and environments without requiring complete re-analysis of existing data.
• Flexible metadata framework: Provides customizable metadata templates that standardize study attributes while allowing study-specific fields for comparability.
• Predictive analysis: Predicts potential ARG spread patterns based on existing data trends to identify potential control points.

Scientific Applications:

• ARG surveillance in agriculture: Tracks and characterizes the distribution of antibiotic resistance genes within agricultural settings.
• Assessment of management impacts: Evaluates how different farming practices influence ARG prevalence and dissemination.
• Comparative environmental genomics: Enables comparison of diverse metagenomic datasets to elucidate environmental factors affecting ARG patterns.
• Predictive risk assessment: Supports identification of scenarios with elevated risk of ARG spread to inform mitigation strategies.

Methodology:

Analyzes gene annotations and associated metadata within metagenomic datasets and integrates user-contributed data with publicly available resources; the metadata framework supports customization while maintaining consistency across studies.