Machine learning interprets genome sequences to map possible microbial symbionts
Nature Biotechnology, Published online: 02 September 2026; doi:10.1038/s41587-026-03212-2 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…
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