ReP USP - Resultado da busca

Artigo de periodico
Benchmarking bacterial promoter prediction tools: potentialities and limitations (2020)
Cassiano, Murilo Henrique Anzolini ; Silva-Rocha, Rafael
Source: mSystems. Unidade: FMRP
Subjects: BIOINFORMÁTICA, GENOMAS, BACTÉRIAS, ESCHERICHIA COLI, GENÉTICA BACTERIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASSIANO, Murilo Henrique Anzolini e SILVA-ROCHA, Rafael. Benchmarking bacterial promoter prediction tools: potentialities and limitations. mSystems, v. 5, n. 4, p. 1-16, 2020Tradução . . Disponível em: https://doi.org/10.1128/mSystems.00439-20. Acesso em: 19 out. 2024.
APA
Cassiano, M. H. A., & Silva-Rocha, R. (2020). Benchmarking bacterial promoter prediction tools: potentialities and limitations. mSystems, 5( 4), 1-16. doi:10.1128/mSystems.00439-20
NLM
Cassiano MHA, Silva-Rocha R. Benchmarking bacterial promoter prediction tools: potentialities and limitations [Internet]. mSystems. 2020 ; 5( 4): 1-16.[citado 2024 out. 19 ] Available from: https://doi.org/10.1128/mSystems.00439-20
Vancouver
Cassiano MHA, Silva-Rocha R. Benchmarking bacterial promoter prediction tools: potentialities and limitations [Internet]. mSystems. 2020 ; 5( 4): 1-16.[citado 2024 out. 19 ] Available from: https://doi.org/10.1128/mSystems.00439-20
Trabalho de evento-resumo
Development of novel model for bacterial promoter prediction (2019)
Cassiano, Murilo Henrique Anzolini; Sanches-Medeiros, Ananda ; Silva-Rocha, Rafael
Source: Resumos. Conference titles: Brazilian Congress of Genetics. Unidade: FMRP
Subjects: REGULAÇÃO GÊNICA, BIOINFORMÁTICA, RNA POLIMERASES, SEQUENCIAMENTO GENÉTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CASSIANO, Murilo Henrique Anzolini e SANCHES-MEDEIROS, Ananda e SILVA-ROCHA, Rafael. Development of novel model for bacterial promoter prediction. 2019, Anais.. Águas de Lindóia: Sociedade Brasileira de Genética, 2019. Disponível em: https://www.sbg.org.br/sites/default/files/e_book_genetica2019_online_0.pdf. Acesso em: 19 out. 2024.
APA
Cassiano, M. H. A., Sanches-Medeiros, A., & Silva-Rocha, R. (2019). Development of novel model for bacterial promoter prediction. In Resumos. Águas de Lindóia: Sociedade Brasileira de Genética. Recuperado de https://www.sbg.org.br/sites/default/files/e_book_genetica2019_online_0.pdf
NLM
Cassiano MHA, Sanches-Medeiros A, Silva-Rocha R. Development of novel model for bacterial promoter prediction [Internet]. Resumos. 2019 ;[citado 2024 out. 19 ] Available from: https://www.sbg.org.br/sites/default/files/e_book_genetica2019_online_0.pdf
Vancouver
Cassiano MHA, Sanches-Medeiros A, Silva-Rocha R. Development of novel model for bacterial promoter prediction [Internet]. Resumos. 2019 ;[citado 2024 out. 19 ] Available from: https://www.sbg.org.br/sites/default/files/e_book_genetica2019_online_0.pdf
Artigo de periodico
Reverse engineering of an aspirin-responsive transcriptional regulator in Escherichia coli (2019)
Monteiro, Lummy Maria Oliveira ; Arruda, Letícia Magalhães ; Sanches-Medeiros, Ananda ; Santana, Leonardo Martins ; Alves, Luana de Fátima ; Defelipe, Lucas ; Turjanski, Adrian Gustavo ; Guazzaroni, María-Eugenia ; Lorenzo, Víctor de ; Silva-Rocha, Rafael
Source: ACS Synthetic Biology. Unidades: FFCLRP, FMRP
Subjects: ESCHERICHIA COLI, BIOINFORMÁTICA, BIOLOGIA MOLECULAR
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MONTEIRO, Lummy Maria Oliveira et al. Reverse engineering of an aspirin-responsive transcriptional regulator in Escherichia coli. ACS Synthetic Biology, v. 8, n. 8, p. 1890-1900, 2019Tradução . . Disponível em: https://doi.org/10.1021/acssynbio.9b00191. Acesso em: 19 out. 2024.
APA
Monteiro, L. M. O., Arruda, L. M., Sanches-Medeiros, A., Santana, L. M., Alves, L. de F., Defelipe, L., et al. (2019). Reverse engineering of an aspirin-responsive transcriptional regulator in Escherichia coli. ACS Synthetic Biology, 8( 8), 1890-1900. doi:10.1021/acssynbio.9b00191
NLM
Monteiro LMO, Arruda LM, Sanches-Medeiros A, Santana LM, Alves L de F, Defelipe L, Turjanski AG, Guazzaroni M-E, Lorenzo V de, Silva-Rocha R. Reverse engineering of an aspirin-responsive transcriptional regulator in Escherichia coli [Internet]. ACS Synthetic Biology. 2019 ; 8( 8): 1890-1900.[citado 2024 out. 19 ] Available from: https://doi.org/10.1021/acssynbio.9b00191
Vancouver
Monteiro LMO, Arruda LM, Sanches-Medeiros A, Santana LM, Alves L de F, Defelipe L, Turjanski AG, Guazzaroni M-E, Lorenzo V de, Silva-Rocha R. Reverse engineering of an aspirin-responsive transcriptional regulator in Escherichia coli [Internet]. ACS Synthetic Biology. 2019 ; 8( 8): 1890-1900.[citado 2024 out. 19 ] Available from: https://doi.org/10.1021/acssynbio.9b00191
Trabalho de evento-resumo
Identification of antimicrobial resistance genes in metagenomic databases (2019)
Santos, Felipe Marcelo P. dos; Silva-Rocha, Rafael ; Guazzaroni, Maria Eugenia
Source: Resumos. Conference titles: Brazilian Congress of Genetics. Unidades: FFCLRP, FMRP
Subjects: GENES, GENÔMICA, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTOS, Felipe Marcelo P. dos e SILVA-ROCHA, Rafael e GUAZZARONI, Maria Eugenia. Identification of antimicrobial resistance genes in metagenomic databases. 2019, Anais.. Águas de Lindóia: Sociedade Brasileira de Genética, 2019. Disponível em: https://www.sbg.org.br/sites/default/files/e_book_genetica2019_online_0.pdf. Acesso em: 19 out. 2024.
APA
Santos, F. M. P. dos, Silva-Rocha, R., & Guazzaroni, M. E. (2019). Identification of antimicrobial resistance genes in metagenomic databases. In Resumos. Águas de Lindóia: Sociedade Brasileira de Genética. Recuperado de https://www.sbg.org.br/sites/default/files/e_book_genetica2019_online_0.pdf
NLM
Santos FMP dos, Silva-Rocha R, Guazzaroni ME. Identification of antimicrobial resistance genes in metagenomic databases [Internet]. Resumos. 2019 ;[citado 2024 out. 19 ] Available from: https://www.sbg.org.br/sites/default/files/e_book_genetica2019_online_0.pdf
Vancouver
Santos FMP dos, Silva-Rocha R, Guazzaroni ME. Identification of antimicrobial resistance genes in metagenomic databases [Internet]. Resumos. 2019 ;[citado 2024 out. 19 ] Available from: https://www.sbg.org.br/sites/default/files/e_book_genetica2019_online_0.pdf
Artigo de periodico
Systems and synthetic biology approaches to engineer fungi for fine chemical production (2018)
Santana, Leonardo Martins; Nora, Luisa C.; Medeiros, Ananda Sanches; Lovate, Gabriel L.; Cassiano, Murilo H. A.; Silva-Rocha, Rafael
Source: Frontiers in Bioengineering and Biotechnology. Unidade: FMRP
Subjects: BIOINFORMÁTICA, BIOTECNOLOGIA, FUNGOS, ENGENHARIA GENÉTICA, BIOLOGIA SINTÉTICA, FERMENTOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SANTANA, Leonardo Martins et al. Systems and synthetic biology approaches to engineer fungi for fine chemical production. Frontiers in Bioengineering and Biotechnology, v. 6, 2018Tradução . . Disponível em: https://doi.org/10.3389/fbioe.2018.00117. Acesso em: 19 out. 2024.
APA
Santana, L. M., Nora, L. C., Medeiros, A. S., Lovate, G. L., Cassiano, M. H. A., & Silva-Rocha, R. (2018). Systems and synthetic biology approaches to engineer fungi for fine chemical production. Frontiers in Bioengineering and Biotechnology, 6. doi:10.3389/fbioe.2018.00117
NLM
Santana LM, Nora LC, Medeiros AS, Lovate GL, Cassiano MHA, Silva-Rocha R. Systems and synthetic biology approaches to engineer fungi for fine chemical production [Internet]. Frontiers in Bioengineering and Biotechnology. 2018 ; 6[citado 2024 out. 19 ] Available from: https://doi.org/10.3389/fbioe.2018.00117
Vancouver
Santana LM, Nora LC, Medeiros AS, Lovate GL, Cassiano MHA, Silva-Rocha R. Systems and synthetic biology approaches to engineer fungi for fine chemical production [Internet]. Frontiers in Bioengineering and Biotechnology. 2018 ; 6[citado 2024 out. 19 ] Available from: https://doi.org/10.3389/fbioe.2018.00117

USP Schools

ReP

Filtros

Authors

USP affiliated authors

Subjects

Indexado em