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.