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# AMR Surveillance - Usage Guide
## Overview
Detect and track antimicrobial resistance genes using AMRFinderPlus for surveillance and clinical interpretation.
## Prerequisites
```bash
conda install -c bioconda ncbi-amrfinderplus
amrfinder -u # Update database
```
## Quick Start
Tell your AI agent what you want to do:
- "Screen my genomes for AMR genes"
- "Track AMR trends across my surveillance samples"
- "Generate an AMR surveillance report"
## Example Prompts
### Gene Detection
> "Find all resistance genes in these bacterial genomes"
> "Check for carbapenemase genes in my Klebsiella isolates"
### Surveillance Analysis
> "How has ESBL prevalence changed over the past year?"
> "Are there any emerging resistance patterns in my data?"
### Clinical Interpretation
> "What antibiotics should be avoided for this isolate?"
> "Generate a resistance report for clinical review"
## What the Agent Will Do
1. Run AMRFinderPlus on genome assemblies
2. Parse results and filter high-confidence hits
3. Summarize by drug class
4. Track trends over time if longitudinal data
5. Flag emerging or critical resistance
6. Generate interpretable reports
## Tips
- **Organism flag** - Use --organism for point mutation detection
- **Quality** - Filter by coverage >90% and identity >90%
- **Database** - Update regularly with `amrfinder -u`
- **Critical genes** - Prioritize carbapenemases and MCR
- **Context** - Combine with strain typing for outbreak analysis