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Machine learning interprets genome sequences to map possible microbial symbionts

Nature Biotechnology (2026) Cite this article A machine-learning framework called symclatron uses genome sequencing content to predict whether uncultivated bacteria and archaea live independently or in close association with hosts. Applied to a global genome collection, it suggests that host-dependent microbes are widespread across Earth’s biomes and microbial phyla. This is a preview of subscription […]

By deepak · September 2, 2026 · 2 min read

Nature Biotechnology
(2026) Cite this article

A machine-learning framework called symclatron uses genome sequencing content to predict whether uncultivated bacteria and archaea live independently or in close association with hosts. Applied to a global genome collection, it suggests that host-dependent microbes are widespread across Earth’s biomes and microbial phyla.

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Source: Read the original article on www.nature.com