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Abstract Bacteriophages offer promising alternatives to antibiotics for treating drug-resistant infections and engineering microbiomes, but applications are limited by challenges related to selection of phages infecting specific bacterial strains. Here we present a phylogeny-agnostic machine-learning framework predicting strain-level phage–host interactions across diverse bacterial genera from genome sequences alone.
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