Filtros : "Iha, Bruno Koshin Vásquez" Limpar

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  • Source: Scientific Reports. Unidades: IQ, BIOINFORMÁTICA

    Subjects: GENOMAS, BIOSFERA

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      FLORES, Vinicius S et al. Discovery and description of novel phage genomes from urban microbiomes sampled by the MetaSUB consortium. Scientific Reports, v. 14, p. 1-14 art. 7913, 2024Tradução . . Disponível em: https://dx.doi.org/10.1038/s41598-024-58226-0. Acesso em: 12 jun. 2024.
    • APA

      Flores, V. S., Amgarten, D. E., Iha, B. K. V., Ryon, K. A., Danko, D., Tierney, B. T., et al. (2024). Discovery and description of novel phage genomes from urban microbiomes sampled by the MetaSUB consortium. Scientific Reports, 14, 1-14 art. 7913. doi:10.1038/s41598-024-58226-0
    • NLM

      Flores VS, Amgarten DE, Iha BKV, Ryon KA, Danko D, Tierney BT, Mason C, Da Silva AM, Setubal JC. Discovery and description of novel phage genomes from urban microbiomes sampled by the MetaSUB consortium [Internet]. Scientific Reports. 2024 ; 14 1-14 art. 7913.[citado 2024 jun. 12 ] Available from: https://dx.doi.org/10.1038/s41598-024-58226-0
    • Vancouver

      Flores VS, Amgarten DE, Iha BKV, Ryon KA, Danko D, Tierney BT, Mason C, Da Silva AM, Setubal JC. Discovery and description of novel phage genomes from urban microbiomes sampled by the MetaSUB consortium [Internet]. Scientific Reports. 2024 ; 14 1-14 art. 7913.[citado 2024 jun. 12 ] Available from: https://dx.doi.org/10.1038/s41598-024-58226-0
  • Source: bioRxiv. Unidades: IQ, BIOINFORMÁTICA

    Subjects: BACTERIÓFAGOS, REDES NEURAIS, GENÔMICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • 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: 12 jun. 2024.
    • 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 2024 jun. 12 ] 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 2024 jun. 12 ] Available from: https://doi.org/10.1101/2020.12.06.413476

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