Mello, Fábio Nunes de 
; Tahira, Ana C ; Coelho, Maria Gabriela Berzoti ; Verjovski-Almeida, Sergio
Fonte: Briefings in Bioinformatics. Unidade: IQ
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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/bbad538NLM
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/bbad538Vancouver
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
