Smart Environmental Nucleic-acid Tracking using Inference from Neural-networks for Early-warning Localization
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Updated
Sep 13, 2025
Smart Environmental Nucleic-acid Tracking using Inference from Neural-networks for Early-warning Localization
Detect novel bacterial taxa in metagenomic data using ANI-weighted placement uncertainty. Distinguishes true novelty from taxonomic ambiguity by combining competitive read recruitment with genome-genome ANI matrices. Species/genus classification with literature-backed thresholds.
Physics-informed distributional features for pathogen-agnostic threat detection in gene expression data
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