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B. Fosso

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Open access Sep 2026

A data-driven universal gut microbiome health assessment: a machine learning framework trained on large metagenomic data

The gut microbiota is essential to maintain host physiology, and its disruption (dysbiosis) is associated with a wide range of diseases. Machine learning (ML) offers a powerful tool to model species-level microbiome profiles, but classifiers that reliably separate healthy from diseased individuals across independent co...

Bablu Kumar, Erika Lorusso, B. Fosso et al. · 0 citations
Review Open access Aug 2026

FAIRyMAGs - a series of FAIR Galaxy workflows for the generation of metagenome assembled genomes

FAIRyMAGs provides an accessible, extensible, and reproducible framework for genome-resolved metagenomics, reducing technical barriers and enabling methodological innovation through community-driven development within the adaptable Galaxy ecosystem.

P. Zierep, Mina Hojat Ansari, P. Bühler et al. · 0 citations

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