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Filtros : "Briefings in Bioinformatics" "ENTROPIA" Limpar

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Artigo de periodico
The CUT&RUN greenlist: genomic regions of consistent noise are effective normalizing factors for quantitative epigenome mapping (2024)
Mello, Fábio Nunes de ; Tahira, Ana C ; Coelho, Maria Gabriela Berzoti ; Verjovski-Almeida, Sergio
Source: Briefings in Bioinformatics. Unidade: IQ
Subjects: ENTROPIA, GENOMAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MELLO, Fábio Nunes de et al. The CUT&RUN greenlist: genomic regions of consistent noise are effective normalizing factors for quantitative epigenome mapping. Briefings in Bioinformatics, v. 25, n. 2, p. 1–15, 2024Tradução . . Disponível em: https://dx.doi.org/10.1093/bib/bbad538. Acesso em: 11 nov. 2025.
APA
Mello, F. N. de, Tahira, A. C., Coelho, M. G. B., & Verjovski-Almeida, S. (2024). The CUT&RUN greenlist: genomic regions of consistent noise are effective normalizing factors for quantitative epigenome mapping. Briefings in Bioinformatics, 25( 2), 1–15. doi:10.1093/bib/bbad538
NLM
Mello FN de, Tahira AC, Coelho MGB, Verjovski-Almeida S. The CUT&RUN greenlist: genomic regions of consistent noise are effective normalizing factors for quantitative epigenome mapping [Internet]. Briefings in Bioinformatics. 2024 ; 25( 2): 1–15.[citado 2025 nov. 11 ] Available from: https://dx.doi.org/10.1093/bib/bbad538
Vancouver
Mello FN de, Tahira AC, Coelho MGB, Verjovski-Almeida S. The CUT&RUN greenlist: genomic regions of consistent noise are effective normalizing factors for quantitative epigenome mapping [Internet]. Briefings in Bioinformatics. 2024 ; 25( 2): 1–15.[citado 2025 nov. 11 ] Available from: https://dx.doi.org/10.1093/bib/bbad538
Artigo de periodico
Feature extraction approaches for biological sequences: a comparative study of mathematical features (2021)
Bonidia, Robson Parmezan ; Sampaio, Lucas Dias Hiera ; Domingues, Douglas S ; Paschoal, Alexandre Rossi ; Lopes, Fabrício Martins ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Sanches, Danilo Sipoli
Source: Briefings in Bioinformatics. Unidade: ICMC
Subjects: BIOINFORMÁTICA, GENÔMICA, REDES COMPLEXAS, ENTROPIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BONIDIA, Robson Parmezan et al. Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings in Bioinformatics, v. 22, n. 5, p. Se 2021, 2021Tradução . . Disponível em: https://doi.org/10.1093/bib/bbab011. Acesso em: 11 nov. 2025.
APA
Bonidia, R. P., Sampaio, L. D. H., Domingues, D. S., Paschoal, A. R., Lopes, F. M., Carvalho, A. C. P. de L. F. de, & Sanches, D. S. (2021). Feature extraction approaches for biological sequences: a comparative study of mathematical features. Briefings in Bioinformatics, 22( 5), Se 2021. doi:10.1093/bib/bbab011
NLM
Bonidia RP, Sampaio LDH, Domingues DS, Paschoal AR, Lopes FM, Carvalho ACP de LF de, Sanches DS. Feature extraction approaches for biological sequences: a comparative study of mathematical features [Internet]. Briefings in Bioinformatics. 2021 ; 22( 5): Se 2021.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1093/bib/bbab011
Vancouver
Bonidia RP, Sampaio LDH, Domingues DS, Paschoal AR, Lopes FM, Carvalho ACP de LF de, Sanches DS. Feature extraction approaches for biological sequences: a comparative study of mathematical features [Internet]. Briefings in Bioinformatics. 2021 ; 22( 5): Se 2021.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1093/bib/bbab011

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