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Filtros : "Financiamento Fundação Araucária, Paraná" "ESALQ" "BIOINFORMÁTICA" Limpar

Filtros

Indexado em
Collaboration
Normalized affiliation
Non normalized affiliation
- bioinformatics group. wageningen university. wageningen (1)
- department of computer science. federal university of technology. curitiba, pr (1)
- graduate program in biological sciences (genetics). institute of biosciences. são paulo state university. unesp. botucatu, sp (1)
- laboratório de biotecnologia vegetal. instituto agronômico do paraná. londrina, pr (1)
- umr diade. institut de recherche pour le développement (ird). université montpellier. cirad. montpellier (1)

Artigo de periodico
Genome mining of metabolic gene clusters in the Rubiaceae family (2024)
Lemos, Samara Mireza Correia de; Paschoal, Alexandre Rossi; Guyot, Romain; Medema, Marnix; Domingues, Douglas Silva
Source: Computational and Structural Biotechnology Journal. Unidade: ESALQ
Subjects: BIOINFORMÁTICA, GENES, GENÔMICA, METABOLISMO VEGETAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LEMOS, Samara Mireza Correia de et al. Genome mining of metabolic gene clusters in the Rubiaceae family. Computational and Structural Biotechnology Journal, v. 23, p. 22–33, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.csbj.2023.11.034. Acesso em: 18 out. 2024.
APA
Lemos, S. M. C. de, Paschoal, A. R., Guyot, R., Medema, M., & Domingues, D. S. (2024). Genome mining of metabolic gene clusters in the Rubiaceae family. Computational and Structural Biotechnology Journal, 23, 22–33. doi:10.1016/j.csbj.2023.11.034
NLM
Lemos SMC de, Paschoal AR, Guyot R, Medema M, Domingues DS. Genome mining of metabolic gene clusters in the Rubiaceae family [Internet]. Computational and Structural Biotechnology Journal. 2024 ; 23 22–33.[citado 2024 out. 18 ] Available from: https://doi.org/10.1016/j.csbj.2023.11.034
Vancouver
Lemos SMC de, Paschoal AR, Guyot R, Medema M, Domingues DS. Genome mining of metabolic gene clusters in the Rubiaceae family [Internet]. Computational and Structural Biotechnology Journal. 2024 ; 23 22–33.[citado 2024 out. 18 ] Available from: https://doi.org/10.1016/j.csbj.2023.11.034
Artigo de periodico
CoffeebEST: an integrated resource for Coffea spp expressed sequence tags (2014)
Paschoal, A. R; Fernandes, E. D. M; Silva, J. C; Lopes, F. M; Pereira, L. F. P; Domingues, Douglas Silva
Source: Genetics and Molecular Research. Unidade: ESALQ
Subjects: BIOINFORMÁTICA, BIOLOGIA MOLECULAR VEGETAL, CAFÉ, GENÔMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
PASCHOAL, A. R et al. CoffeebEST: an integrated resource for Coffea spp expressed sequence tags. Genetics and Molecular Research, v. 13, n. 4, p. 10913-10920, 2014Tradução . . Disponível em: https://doi.org/10.4238/2014.December.19.13. Acesso em: 18 out. 2024.
APA
Paschoal, A. R., Fernandes, E. D. M., Silva, J. C., Lopes, F. M., Pereira, L. F. P., & Domingues, D. S. (2014). CoffeebEST: an integrated resource for Coffea spp expressed sequence tags. Genetics and Molecular Research, 13( 4), 10913-10920. doi:10.4238/2014.December.19.13
NLM
Paschoal AR, Fernandes EDM, Silva JC, Lopes FM, Pereira LFP, Domingues DS. CoffeebEST: an integrated resource for Coffea spp expressed sequence tags [Internet]. Genetics and Molecular Research. 2014 ; 13( 4): 10913-10920.[citado 2024 out. 18 ] Available from: https://doi.org/10.4238/2014.December.19.13
Vancouver
Paschoal AR, Fernandes EDM, Silva JC, Lopes FM, Pereira LFP, Domingues DS. CoffeebEST: an integrated resource for Coffea spp expressed sequence tags [Internet]. Genetics and Molecular Research. 2014 ; 13( 4): 10913-10920.[citado 2024 out. 18 ] Available from: https://doi.org/10.4238/2014.December.19.13

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