scientific-metagenome-assembled-genomes

Reconstruct metagenome-assembled genomes from metagenomic data with binning, quality assessment, taxonomy, dereplication, and annotation.

3|1|Updated Feb 11, 2026
One-click install
npx skills add https://github.com/nahisaho/satori --skill scientific-metagenome-assembled-genomes
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scientific-metagenome-assembled-genomes
Source: https://github.com/nahisaho/satori/tree/main/src/.github/skills/scientific-metagenome-assembled-genomes
Command: npx skills add https://github.com/nahisaho/satori --skill scientific-metagenome-assembled-genomes

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provides an integrated pipeline to reconstruct metagenome-assembled genomes (MAGs) from metagenomic reads, including binning, quality assessment, taxonomic classification, dereplication, and annotation.

Core Features & Use Cases

  • End-to-end MAG pipeline coordinating binning (MetaBAT2/CONCOCT/MaxBin2), quality assessment (CheckM2), taxonomy (GTDB-Tk), and dereplication (dRep) with annotation (Prokka/Bakta) to produce publishable MAG datasets.
  • Use cases include reconstructing MAGs from environmental samples, enabling downstream phylogenomics, ecological analysis, and comparative genomics.
  • TU integration via MGnify for MAG data search and retrieval.

Quick Start

Run mag_pipeline with your metagenome assembly FASTA and BAM file to generate MAGs and a comprehensive quality report.

Frequently Asked Questions about scientific-metagenome-assembled-genomes

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

FAQPage Schema
How do I reconstruct metagenome-assembled genomes from environmental microbiome sequencing data?

You can reconstruct metagenome-assembled genomes (MAGs) by running a coordinated pipeline that performs binning, quality assessment, taxonomy, dereplication, and annotation on your metagenomic assembly FASTA and BAM file.

What is the end-to-end process for metagenomic binning and taxonomy assignment?

End-to-end metagenomic binning and taxonomy assignment involves grouping assembled contigs into bins, assessing their quality, classifying them with GTDB-Tk, dereplicating with dRep, and annotating genes using Prokka or Bakta to generate publishable MAG datasets.

How do I assess MAG quality and classify taxonomy after metagenomic binning?

After metagenomic binning, you assess MAG quality using CheckM2 and classify taxonomy using GTDB-Tk. This produces comprehensive quality metrics and taxonomic assignments for your reconstructed environmental microbiome genomes.

Do I need metagenome assembly FASTA and BAM files to generate MAGs?

Yes, you need metagenome assembly FASTA and BAM files to generate MAGs. Running the pipeline with these inputs coordinates binning, quality assessment, and annotation to output a comprehensive MAG quality report.

What is the best way to dereplicate and annotate metagenome-assembled genomes?

The best way to dereplicate and annotate metagenome-assembled genomes is using dRep for dereplication and Prokka or Bakta for annotation, which yields a coherent MAG dataset with quality metrics and functional gene annotations.

Can I use MetaBAT2 CONCOCT and MaxBin2 together for metagenomic binning?

Yes, the pipeline coordinates MetaBAT2, CONCOCT, and MaxBin2 together for metagenomic binning. This integrated approach groups assembled contigs into genome bins to reconstruct MAGs from complex environmental microbiome samples.