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Illuminating the Virosphere’s Dark Matter using Hierarchical Deep Learning

2025-09-23

Abstract excerpt

Systematic discovery of novel viruses is essential for pandemic preparedness, understanding tumor-associated viruses, developing viral delivery systems, and advancing biomedical applications. Yet, the majority of sequences in metagenomic datasets lack close relatives in existing references, representing a vast viral “dark matter” whose biology and evolution remain largely unknown. The central task is threefold: 1)...

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Identifiers and source

Literature Corpus work
29e1eb0c-9d78-5db1-b583-4f20aeb66623
DOI
10.1101/2025.09.22.677955
Open publication

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Illuminating the Virosphere’s Dark Matter using Hierarchical Deep LearningDOI 10.1101/2025.09.22.677955
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