Source: Frontiers in Plant Science. Unidades: ESALQ, IB
Subjects: BANCO DE DADOS, CANA-DE-AÇÚCAR, CARVÃO (DOENÇA DE PLANTA), FUNGOS FITOPATOGÊNICOS, GENÓTIPOS, METABOLISMO, MINERAÇÃO DE DADOS, PROTEÍNAS, RESISTÊNCIA GENÉTICA VEGETAL
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SILVA, Hugo Rody Viana et al. Arabidopsis-based dual-layered biological network analysis elucidates fully modulated pathways related to sugarcane resistance on biotrophic pathogen infection. Frontiers in Plant Science, v. 12, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.3389/fpls.2021.707904. Acesso em: 07 set. 2024.APA
Silva, H. R. V., Camargo, L. E. A., Creste, S., Van Sluys, M. -A., Rieseberg, L. H., & Monteiro-Vitorello, C. B. (2021). Arabidopsis-based dual-layered biological network analysis elucidates fully modulated pathways related to sugarcane resistance on biotrophic pathogen infection. Frontiers in Plant Science, 12, 1-12. doi:10.3389/fpls.2021.707904NLM
Silva HRV, Camargo LEA, Creste S, Van Sluys M-A, Rieseberg LH, Monteiro-Vitorello CB. Arabidopsis-based dual-layered biological network analysis elucidates fully modulated pathways related to sugarcane resistance on biotrophic pathogen infection [Internet]. Frontiers in Plant Science. 2021 ; 12 1-12.[citado 2024 set. 07 ] Available from: https://doi.org/10.3389/fpls.2021.707904Vancouver
Silva HRV, Camargo LEA, Creste S, Van Sluys M-A, Rieseberg LH, Monteiro-Vitorello CB. Arabidopsis-based dual-layered biological network analysis elucidates fully modulated pathways related to sugarcane resistance on biotrophic pathogen infection [Internet]. Frontiers in Plant Science. 2021 ; 12 1-12.[citado 2024 set. 07 ] Available from: https://doi.org/10.3389/fpls.2021.707904