Author

Bruno Koshin Vázquez Iha

Universidade de São PauloORCID 0000-0003-4831-8694Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:bacteria (other)· 1 Approach:deep learning· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Aline Maria da SilvaiD· 1 shared Carlos Morais PiroupoiD· 1 shared Deyvid AmgarteniD· 1 shared João Carlos SetúbaliD· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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1 shared paperBioinformatics

Aline Maria da SilvaORCID

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1 paper

Recent·Most cited

BioinformaticsPHAGEPeer-reviewedAug 29, 2022

vHULK, a new tool for bacteriophage host prediction based on annotated genomic features and deep neural networks

Deyvid Amgarten, Bruno Koshin Vázquez Iha, Carlos Morais Piroupo…·João Carlos Setúbal

vHULK predicts bacteriophage hosts using genomic features and deep neural networks, achieving high accuracy in genus and species-level classifications.

48 citationstop 3%

bacteria (other)whole-genome sequencing

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