claw-metagenomics

Profile shotgun metagenomic FASTQ data for taxonomy, resistome, and pathways.

1.1k|238|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/ClawBio/ClawBio --skill claw-metagenomics
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claw-metagenomics
Source: https://github.com/ClawBio/ClawBio/tree/main/skills/claw-metagenomics
Command: npx skills add https://github.com/ClawBio/ClawBio --skill claw-metagenomics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Raw shotgun metagenomic reads are complex to configure and interpret: choosing correct taxonomic databases and thresholds, reliably detecting antimicrobial resistance genes without false positives, obtaining pathway-level functional context, and producing reproducible results are time-consuming and error-prone for researchers and public-health teams.

Core Features & Use Cases

  • Taxonomic profiling: Kraken2 classification with Bracken species-level re-estimation to produce adjusted abundance tables.
  • Resistome detection: RGI against CARD restricted to Perfect and Strict hits and mapped to WHO priority pathogen tiers.
  • Functional profiling: Optional HUMAnN3 pathway abundance (MetaCyc/UniRef) with stratification.
  • Reproducibility & Reporting: Generates publication-quality figures and a reproducibility bundle (commands.sh, environment.yml, checksums.sha256).
  • Use Case: Environmental or sewage surveillance for WHO-critical ARG monitoring and comparative community analysis across sites.

Quick Start

Run the metagenomics profiler on paired-end FASTQ to produce taxonomy, resistome, pathway reports, publication figures, and a reproducibility bundle.

Frequently Asked Questions about claw-metagenomics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I profile shotgun metagenomic sequencing data for taxonomy and resistome detection?

Profile shotgun metagenomic sequencing data by running Kraken2 classification with Bracken species-level re-estimation and RGI against CARD for resistome detection. This generates species-level taxonomy, antimicrobial resistance gene detections, and functional pathway abundances from paired-end or single concatenated FASTQ files.

Does RGI resistome detection filter for false positives when analyzing antimicrobial resistance genes?

RGI resistome detection limits results to Perfect and Strict hits against the CARD database to minimize false positives. Detections are then mapped to WHO priority pathogen tiers, ensuring reliable antimicrobial resistance gene identification for clinical or environmental surveillance studies.

Can I use Kraken2 and HUMAnN3 together for functional pathway profiling of metagenomic reads?

Kraken2 provides taxonomic profiling while optional HUMAnN3 generates functional pathway abundance using MetaCyc and UniRef with stratification. Both tools process paired-end or single concatenated FASTQ from environmental, sewage, or clinical surveillance studies, producing comprehensive community analysis.

What's the best way to ensure metagenomics profiling results are reproducible for publication?

Ensure metagenomics profiling reproducibility by exporting a reproducibility bundle containing commands.sh, environment.yml, and checksums.sha256. The pipeline automatically generates publication-quality figures and these bundles so researchers and public-health teams can validate shotgun metagenomic sequencing analysis.

Are demo datasets available for testing shotgun metagenomics pipelines before processing full studies?

Demo precomputed datasets are available for rapid testing of the shotgun metagenomics pipeline. Researchers can run the profiler on these datasets to validate Kraken2 classification, Bracken re-estimation, and RGI CARD resistome detection workflows before applying them to environmental or clinical surveillance FASTQ files.

When should I not use HUMAnN3 for functional profiling of metagenomic samples?

HUMAnN3 functional pathway profiling is optional in this metagenomics pipeline. If your research focuses solely on species-level taxonomy or antimicrobial resistance gene detection rather than MetaCyc pathway abundances, you can skip HUMAnN3 and rely on Kraken2, Bracken, and RGI outputs.