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Filtros : "Computational and Structural Biotechnology Journal" "DOMINGUES, DOUGLAS SILVA" 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)
- department of computer science. universidade tecnológica federal do paraná – utfpr. cornélio procópio, pr (1)
- department of informatics. federal university of paraná. curitiba, pr (1)
- department of soil biotecnology. embrapa soybean. londrina, pr (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: 14 nov. 2025.
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 2025 nov. 14 ] 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 2025 nov. 14 ] Available from: https://doi.org/10.1016/j.csbj.2023.11.034
Artigo de periodico
Temporal progress of gene expression analysis with RNA-Seq data: a review on the relationship between computational methods (2023)
Costa-Silva, Juliana; Domingues, Douglas Silva ; Menotti, David; Hungria, Mariangela; Lopes, Fabrício Martins
Source: Computational and Structural Biotechnology Journal. Unidade: ESALQ
Subjects: BIOINFORMÁTICA, EXPRESSÃO GÊNICA, RNA, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COSTA-SILVA, Juliana et al. Temporal progress of gene expression analysis with RNA-Seq data: a review on the relationship between computational methods. Computational and Structural Biotechnology Journal, v. 21, p. 86-98, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.csbj.2022.11.051. Acesso em: 14 nov. 2025.
APA
Costa-Silva, J., Domingues, D. S., Menotti, D., Hungria, M., & Lopes, F. M. (2023). Temporal progress of gene expression analysis with RNA-Seq data: a review on the relationship between computational methods. Computational and Structural Biotechnology Journal, 21, 86-98. doi:10.1016/j.csbj.2022.11.051
NLM
Costa-Silva J, Domingues DS, Menotti D, Hungria M, Lopes FM. Temporal progress of gene expression analysis with RNA-Seq data: a review on the relationship between computational methods [Internet]. Computational and Structural Biotechnology Journal. 2023 ; 21 86-98.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1016/j.csbj.2022.11.051
Vancouver
Costa-Silva J, Domingues DS, Menotti D, Hungria M, Lopes FM. Temporal progress of gene expression analysis with RNA-Seq data: a review on the relationship between computational methods [Internet]. Computational and Structural Biotechnology Journal. 2023 ; 21 86-98.[citado 2025 nov. 14 ] Available from: https://doi.org/10.1016/j.csbj.2022.11.051

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