Source: Briefings in Bioinformatics. Unidade: IQ
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: 29 ago. 2024.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 2024 ago. 29 ] 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 2024 ago. 29 ] Available from: https://dx.doi.org/10.1093/bib/bbad538