ArticleNature communications2024
MAGinator enables accurate profiling of de novo MAGs with strain-level phylogenies.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Neonatal gut Bifidobacterium associates with indole-3-lactic acid levels in blood and risk of ADHD at age 10.Molecular psychiatry · 2026Article
- Global approaches to infectious disease surveillance and modeling.Nature medicine · 2026Review
- HLRMDB: a comprehensive database of the human microbiome with metagenomic assembly, taxonomic classification, and functional annotation by analysis of long-read and hybrid sequencing data.Nucleic acids research · 2026Article
- Analyzing human gut microbiome data from global populations: challenges and resources.Trends in microbiology · 2025Review
- Strain-level characterization of bacterial pathogens using metagenomic sequencing for patients with pneumonia.Journal of translational medicine · 2025Article
- Discovery and cultivation of prokaryotic taxa in the age of metagenomics and artificial intelligence.The ISME journal · 2025Article
- MAGinator enables accurate profiling of de novo MAGs with strain-level phylogenies.Nature communications · 2024Article
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Authors and funding
13 authors.
Funding
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Abstract
Metagenomic sequencing has provided great advantages in the characterisation of microbiomes, but currently available analysis tools lack the ability to combine subspecies-level taxonomic resolution and accurate abundance estimation with functional profiling of assembled genomes. To define the microbiome and its associations with human health, improved tools are needed to enable comprehensive understanding of the microbial composition and elucidation of the phylogenetic and functional relationships between the microbes. Here, we present MAGinator, a freely available tool, tailored for profiling of shotgun metagenomics datasets. MAGinator provides de novo identification of subspecies-level microbes and accurate abundance estimates of metagenome-assembled genomes (MAGs). MAGinator utilises the information from both gene- and contig-based methods yielding insight into both taxonomic profiles and the origin of genes and genetic content, used for inference of functional content of each sample by host organism. Additionally, MAGinator facilitates the reconstruction of phylogenetic relationships between the MAGs, providing a framework to identify clade-level differences.
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