Author

Heejung Cho

Joint Genome InstituteORCID 0009-0006-3501-894XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Organism:bacteria (other)· 1 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Alexey E. KazakoviD· 1 shared Asaf LevyiD· 1 shared Axel ViseliD· 1 shared Clément CocletiD· 1 shared Jonelle T. R. BassoiD· 1 shared Lorenzo Aureli· 1 shared Nimrod Nachmias· 1 shared Oluwamayowa AmusatiD· 1 shared

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2026-2026 · peak 1/yr

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1 shared paperMicrobiology

Alexey E. KazakovORCID

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1 paper

Recent·Most cited

MicrobiologybioRxivPreprintSep 1, 2026

✦ In-depth digest

PhageTAILor leverages machine learning for phage tail-like elements detection and classification in plant-associated bacteria

Heejung Cho, Socheata Hour, Simon Roux…·Jonelle T. R. Basso

PhageTAILor uses LightGBM on 74 detector features to flag prophages and bacterial phage tail-like elements (tailocins, T6SS, eCIS), recovering 12 of 13 validated tailocins under leave-one-genus-out.

DOI 10.64898/2026.08.24.746745

bacteria (other)whole-genome sequencing

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