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Filtros : "Briefings in Bioinformatics" Removido: "BIOINFORMÁTICA" 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: 16 jun. 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 jun. 16 ] 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 jun. 16 ] Available from: https://dx.doi.org/10.1093/bib/bbad538
Artigo de periodico
Machine learning meets genome assembly (2019)
Souza, Kleber Padovani de; Setubal, João Carlos ; Carvalho, André Carlos Ponce de Leon Ferreira de ; Oliveira, Guilherme; Chateau, Annie; Alves, Ronnie
Source: Briefings in Bioinformatics. Unidades: IQ, ICMC
Subjects: APRENDIZADO COMPUTACIONAL, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOUZA, Kleber Padovani de et al. Machine learning meets genome assembly. Briefings in Bioinformatics, v. No 2019, n. 6, p. 2116-2129, 2019Tradução . . Disponível em: https://doi.org/10.1093/bib/bby072. Acesso em: 16 jun. 2025.
APA
Souza, K. P. de, Setubal, J. C., Carvalho, A. C. P. de L. F. de, Oliveira, G., Chateau, A., & Alves, R. (2019). Machine learning meets genome assembly. Briefings in Bioinformatics, No 2019( 6), 2116-2129. doi:10.1093/bib/bby072
NLM
Souza KP de, Setubal JC, Carvalho ACP de LF de, Oliveira G, Chateau A, Alves R. Machine learning meets genome assembly [Internet]. Briefings in Bioinformatics. 2019 ; No 2019( 6): 2116-2129.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1093/bib/bby072
Vancouver
Souza KP de, Setubal JC, Carvalho ACP de LF de, Oliveira G, Chateau A, Alves R. Machine learning meets genome assembly [Internet]. Briefings in Bioinformatics. 2019 ; No 2019( 6): 2116-2129.[citado 2025 jun. 16 ] Available from: https://doi.org/10.1093/bib/bby072

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