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Filtros : "BIOINFORMÁTICA" "Instituto Butantan" Limpar

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  • Artigo de periodico

    CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts (2021)

    Nachtigall, Pedro Gabriel ; Kashiwabara, André Yoshiaki ; Durham, Alan Mitchell

    Fonte: Briefings in Bioinformatics. Unidade: IME

    Assuntos: BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO

    Versão AceitaAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      NACHTIGALL, Pedro Gabriel e KASHIWABARA, André Yoshiaki e DURHAM, Alan Mitchell. CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts. Briefings in Bioinformatics, v. 22, n. 3, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1093/bib/bbaa045. Acesso em: 15 nov. 2025.

    • APA

      Nachtigall, P. G., Kashiwabara, A. Y., & Durham, A. M. (2021). CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts. Briefings in Bioinformatics, 22( 3), 1-11. doi:10.1093/bib/bbaa045

    • NLM

      Nachtigall PG, Kashiwabara AY, Durham AM. CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts [Internet]. Briefings in Bioinformatics. 2021 ; 22( 3): 1-11.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1093/bib/bbaa045

    • Vancouver

      Nachtigall PG, Kashiwabara AY, Durham AM. CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts [Internet]. Briefings in Bioinformatics. 2021 ; 22( 3): 1-11.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1093/bib/bbaa045

  • Artigo de periodico

    Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells (2020)

    Pereira, Túlio Felipe; Levin, Gabriel ; DeOcesano-Pereira, Carlos ; Caodaglio, Amanda Schiersner ; Fujita, André ; Tonso, Aldo ; Sogayar, Mari Cleide

    Fonte: BMC Research Notes. Unidades: IME, EP, IQ, Interunidades em Biotecnologia, FM

    Assuntos: BIOINFORMÁTICA, PROLIFERAÇÃO CELULAR

    Versão PublicadaAcesso à fonteDOIComo citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      PEREIRA, Túlio Felipe et al. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells. BMC Research Notes, v. 13, n. 1, p. 1-7, 2020Tradução . . Disponível em: https://doi.org/10.1186/s13104-020-4914-8. Acesso em: 15 nov. 2025.

    • APA

      Pereira, T. F., Levin, G., DeOcesano-Pereira, C., Caodaglio, A. S., Fujita, A., Tonso, A., & Sogayar, M. C. (2020). Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells. BMC Research Notes, 13( 1), 1-7. doi:10.1186/s13104-020-4914-8

    • NLM

      Pereira TF, Levin G, DeOcesano-Pereira C, Caodaglio AS, Fujita A, Tonso A, Sogayar MC. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells [Internet]. BMC Research Notes. 2020 ;13( 1): 1-7.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1186/s13104-020-4914-8

    • Vancouver

      Pereira TF, Levin G, DeOcesano-Pereira C, Caodaglio AS, Fujita A, Tonso A, Sogayar MC. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells [Internet]. BMC Research Notes. 2020 ;13( 1): 1-7.[citado 2025 nov. 15 ] Available from: https://doi.org/10.1186/s13104-020-4914-8
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