Modern approaches for transcriptome analyses in plants (2021)
- Authors:
- USP affiliated authors: MARGARIDO, GABRIEL RODRIGUES ALVES - ESALQ ; PACHÓN, DIEGO MAURICIO RIAÑO - CENA
- Unidades: ESALQ; CENA
- DOI: 10.1007/978-3-030-80352-0
- Subjects: EXPRESSÃO GÊNICA; POLIMORFISMO; SEQUENCIAMENTO GENÉTICO; TRANSCRIÇÃO GÊNICA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Springer Nature Switzerland AG
- Publisher place: Cham
- Date published: 2021
- Source:
- Título: Advances in plant omics and systems biology approaches. Proteomics, metabolomics, interactomics and systems biology
- Volume/Número/Paginação/Ano: 221 p
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
RIAÑO-PACHÓN, Diego Mauricio et al. Modern approaches for transcriptome analyses in plants. Advances in plant omics and systems biology approaches. Proteomics, metabolomics, interactomics and systems biology. Tradução . Cham: Springer Nature Switzerland AG, 2021. . Disponível em: https://doi.org/10.1007/978-3-030-80352-0. Acesso em: 17 fev. 2026. -
APA
Riaño-Pachón, D. M., Espitia-Navarro, H. F., Riascos, J. J., & Margarido, G. R. A. (2021). Modern approaches for transcriptome analyses in plants. In Advances in plant omics and systems biology approaches. Proteomics, metabolomics, interactomics and systems biology. Cham: Springer Nature Switzerland AG. doi:10.1007/978-3-030-80352-0 -
NLM
Riaño-Pachón DM, Espitia-Navarro HF, Riascos JJ, Margarido GRA. Modern approaches for transcriptome analyses in plants [Internet]. In: Advances in plant omics and systems biology approaches. Proteomics, metabolomics, interactomics and systems biology. Cham: Springer Nature Switzerland AG; 2021. [citado 2026 fev. 17 ] Available from: https://doi.org/10.1007/978-3-030-80352-0 -
Vancouver
Riaño-Pachón DM, Espitia-Navarro HF, Riascos JJ, Margarido GRA. Modern approaches for transcriptome analyses in plants [Internet]. In: Advances in plant omics and systems biology approaches. Proteomics, metabolomics, interactomics and systems biology. Cham: Springer Nature Switzerland AG; 2021. [citado 2026 fev. 17 ] Available from: https://doi.org/10.1007/978-3-030-80352-0 - Identification of Active Compounds against Melanoma Growth by Virtual Screening for Non-Classical Human DHFR Inhibitors
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Informações sobre o DOI: 10.1007/978-3-030-80352-0 (Fonte: oaDOI API)
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