Ciamponi, Felipe Eduardo 
; Procópio, D. P; Murad, Natália Faraj; Franco, Telma Teixeira ; Basso, Thiago Olitta ; Brandão, Marcelo Mendes
Fonte: Scientific Reports. Unidade: EP
Assuntos: ETANOL, BIOPROCESSOS
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CIAMPONI, Felipe Eduardo et al. Multi-omics network model reveals key genes associated with p-coumaric acid stress response in an industrial yeast strain. Scientific Reports, v. 12, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.1038/s41598-022-26843-2. Acesso em: 20 jun. 2024.APA
Ciamponi, F. E., Procópio, D. P., Murad, N. F., Franco, T. T., Basso, T. O., & Brandão, M. M. (2022). Multi-omics network model reveals key genes associated with p-coumaric acid stress response in an industrial yeast strain. Scientific Reports, 12, 1-17. doi:10.1038/s41598-022-26843-2NLM
Ciamponi FE, Procópio DP, Murad NF, Franco TT, Basso TO, Brandão MM. Multi-omics network model reveals key genes associated with p-coumaric acid stress response in an industrial yeast strain [Internet]. Scientific Reports. 2022 ; 12 1-17.[citado 2024 jun. 20 ] Available from: https://doi.org/10.1038/s41598-022-26843-2Vancouver
Ciamponi FE, Procópio DP, Murad NF, Franco TT, Basso TO, Brandão MM. Multi-omics network model reveals key genes associated with p-coumaric acid stress response in an industrial yeast strain [Internet]. Scientific Reports. 2022 ; 12 1-17.[citado 2024 jun. 20 ] Available from: https://doi.org/10.1038/s41598-022-26843-2
