Amgarten, Deyvid Emanuel 
; Iha, Bruno Koshin Vásquez ; Piroupo, Carlos Morais ; Da Silva, Aline Maria ; Setubal, João Carlos
Fonte: bioRxiv. Unidades: IQ, Interunidades em Bioinformática
Assuntos: BACTERIÓFAGOS, REDES NEURAIS, GENÔMICA
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ABNT
AMGARTEN, Deyvid Emanuel et al. vHULK, a new tool for bacteriophage host prediction based on annotated genomic features and deep neural networks. bioRxiv, p. 1-16, 2022Tradução . . Disponível em: https://doi.org/10.1101/2020.12.06.413476. Acesso em: 16 nov. 2025.APA
Amgarten, D. E., Iha, B. K. V., Piroupo, C. M., Da Silva, A. M., & Setubal, J. C. (2022). vHULK, a new tool for bacteriophage host prediction based on annotated genomic features and deep neural networks. bioRxiv, 1-16. doi:10.1101/2020.12.06.413476NLM
Amgarten DE, Iha BKV, Piroupo CM, Da Silva AM, Setubal JC. vHULK, a new tool for bacteriophage host prediction based on annotated genomic features and deep neural networks [Internet]. bioRxiv. 2022 ; 1-16.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1101/2020.12.06.413476Vancouver
Amgarten DE, Iha BKV, Piroupo CM, Da Silva AM, Setubal JC. vHULK, a new tool for bacteriophage host prediction based on annotated genomic features and deep neural networks [Internet]. bioRxiv. 2022 ; 1-16.[citado 2025 nov. 16 ] Available from: https://doi.org/10.1101/2020.12.06.413476
