vHULK, a new tool for bacteriophage host prediction based on annotated genomic features and deep neural networks (2022)
- Authors:
- USP affiliated authors: PIROUPO, CARLOS MORAIS - IQ ; SILVA, ALINE MARIA DA - IQ ; SETUBAL, JOÃO CARLOS - IQ ; AMGARTEN, DEYVID EMANUEL - Interunidades em Bioinformática ; IHA, BRUNO KOSHIN VÁZQUEZ - Interunidades em Bioinformática
- Unidades: IQ; Interunidades em Bioinformática
- DOI: 10.1101/2020.12.06.413476
- Subjects: BACTERIÓFAGOS; REDES NEURAIS; GENÔMICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
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: 31 dez. 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:10.1101/2020.12.06.413476 -
NLM
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 dez. 31 ] Available from: https://doi.org/10.1101/2020.12.06.413476 -
Vancouver
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 dez. 31 ] Available from: https://doi.org/10.1101/2020.12.06.413476 - Diversity assessment of photosynthesizers: comparative analysis of pre-cultivated and natural microbiome of sediments from Cerrado biome in Maranhão, Brazil
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Informações sobre o DOI: 10.1101/2020.12.06.413476 (Fonte: oaDOI API)
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