Fonte: Computational and Structural Biotechnology Journal. Unidade: ESALQ
Assuntos: BIOINFORMÁTICA, EXPRESSÃO GÊNICA, RNA, SEQUENCIAMENTO GENÉTICO
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COSTA-SILVA, Juliana et al. Temporal progress of gene expression analysis with RNA-Seq data: a review on the relationship between computational methods. Computational and Structural Biotechnology Journal, v. 21, p. 86-98, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.csbj.2022.11.051. Acesso em: 01 nov. 2024.APA
Costa-Silva, J., Domingues, D. S., Menotti, D., Hungria, M., & Lopes, F. M. (2023). Temporal progress of gene expression analysis with RNA-Seq data: a review on the relationship between computational methods. Computational and Structural Biotechnology Journal, 21, 86-98. doi:10.1016/j.csbj.2022.11.051NLM
Costa-Silva J, Domingues DS, Menotti D, Hungria M, Lopes FM. Temporal progress of gene expression analysis with RNA-Seq data: a review on the relationship between computational methods [Internet]. Computational and Structural Biotechnology Journal. 2023 ; 21 86-98.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.csbj.2022.11.051Vancouver
Costa-Silva J, Domingues DS, Menotti D, Hungria M, Lopes FM. Temporal progress of gene expression analysis with RNA-Seq data: a review on the relationship between computational methods [Internet]. Computational and Structural Biotechnology Journal. 2023 ; 21 86-98.[citado 2024 nov. 01 ] Available from: https://doi.org/10.1016/j.csbj.2022.11.051