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Artigo de periodico
Synthetic biology toolbox for antarctic pseudomonas sp. strains: toward a psychrophilic nonmodel chassis for function-driven metagenomics (2023)
Amarelle, Vanesa; Roldán, Diego M.; Fabiano, Elena; Guazzaroni, Maria Eugenia
Source: ACS Synthetic Biology. Unidade: FFCLRP
Subjects: GENÔMICA, BIOLOGIA SINTÉTICA, PSEUDOMONAS, BIOTECNOLOGIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
AMARELLE, Vanesa et al. Synthetic biology toolbox for antarctic pseudomonas sp. strains: toward a psychrophilic nonmodel chassis for function-driven metagenomics. ACS Synthetic Biology, v. 12, n. 3, p. 1-13, 2023Tradução . . Disponível em: https://doi.org/10.1021/acssynbio.2c00543. Acesso em: 16 nov. 2024.
APA
Amarelle, V., Roldán, D. M., Fabiano, E., & Guazzaroni, M. E. (2023). Synthetic biology toolbox for antarctic pseudomonas sp. strains: toward a psychrophilic nonmodel chassis for function-driven metagenomics. ACS Synthetic Biology, 12( 3), 1-13. doi:10.1021/acssynbio.2c00543
NLM
Amarelle V, Roldán DM, Fabiano E, Guazzaroni ME. Synthetic biology toolbox for antarctic pseudomonas sp. strains: toward a psychrophilic nonmodel chassis for function-driven metagenomics [Internet]. ACS Synthetic Biology. 2023 ; 12( 3): 1-13.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1021/acssynbio.2c00543
Vancouver
Amarelle V, Roldán DM, Fabiano E, Guazzaroni ME. Synthetic biology toolbox for antarctic pseudomonas sp. strains: toward a psychrophilic nonmodel chassis for function-driven metagenomics [Internet]. ACS Synthetic Biology. 2023 ; 12( 3): 1-13.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1021/acssynbio.2c00543
Artigo de periodico
Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep (2022)
Berton, Mariana Piatto; Silva, Rosiane Pereira da; Banchero, Georgget; Mourão, Gerson Barreto ; Ferraz, Jose Bento Sterman ; Schenkel, Flavio Schramm; Baldi, Fernando
Source: Journal of Animal Breeding and Genetics. Unidades: ESALQ, FZEA
Subjects: GENÔMICA, MARCADOR MOLECULAR, NEMATOIDES, OVINOS, RESISTÊNCIA GENÉTICA ANIMAL, SISTEMA GASTROINTESTINAL
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ABNT
BERTON, Mariana Piatto et al. Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep. Journal of Animal Breeding and Genetics, p. 1-15, 2022Tradução . . Disponível em: https://doi.org/10.1111/jbg.12682. Acesso em: 16 nov. 2024.
APA
Berton, M. P., Silva, R. P. da, Banchero, G., Mourão, G. B., Ferraz, J. B. S., Schenkel, F. S., & Baldi, F. (2022). Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep. Journal of Animal Breeding and Genetics, 1-15. doi:10.1111/jbg.12682
NLM
Berton MP, Silva RP da, Banchero G, Mourão GB, Ferraz JBS, Schenkel FS, Baldi F. Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep [Internet]. Journal of Animal Breeding and Genetics. 2022 ; 1-15.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1111/jbg.12682
Vancouver
Berton MP, Silva RP da, Banchero G, Mourão GB, Ferraz JBS, Schenkel FS, Baldi F. Genomic integration to identify molecular biomarkers associated with indicator traits of gastrointestinal nematode resistance in sheep [Internet]. Journal of Animal Breeding and Genetics. 2022 ; 1-15.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1111/jbg.12682
Artigo de periodico
Genome-wide association study and predictive ability for growth traits in Nellore cattle (2020)
Carvalho, Felipe Eguti de ; Espigolan, Rafael ; Berton, Mariana Piatto; Silva Neto, João Barbosa da; Silva, Rosiane Pereira da; Grigoletto, Laís ; Silva, Rafael Medeiros de Oliveira; Ferraz, José Bento Sterman ; Eler, Joanir Pereira ; Aguilar, Ignacio; Lôbo, Raysildo Barbosa ; Baldi, Fernando
Source: Livestock Science. Unidades: FZEA, FMRP
Subjects: BOVINOS DE CORTE, GENÔMICA, POLIMORFISMO, NUCLEOTÍDEOS
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ABNT
CARVALHO, Felipe Eguti de et al. Genome-wide association study and predictive ability for growth traits in Nellore cattle. Livestock Science, v. 231, n. Ja 2020, p. 1-11, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.livsci.2019.103861. Acesso em: 16 nov. 2024.
APA
Carvalho, F. E. de, Espigolan, R., Berton, M. P., Silva Neto, J. B. da, Silva, R. P. da, Grigoletto, L., et al. (2020). Genome-wide association study and predictive ability for growth traits in Nellore cattle. Livestock Science, 231( Ja 2020), 1-11. doi:10.1016/j.livsci.2019.103861
NLM
Carvalho FE de, Espigolan R, Berton MP, Silva Neto JB da, Silva RP da, Grigoletto L, Silva RM de O, Ferraz JBS, Eler JP, Aguilar I, Lôbo RB, Baldi F. Genome-wide association study and predictive ability for growth traits in Nellore cattle [Internet]. Livestock Science. 2020 ; 231( Ja 2020): 1-11.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.livsci.2019.103861
Vancouver
Carvalho FE de, Espigolan R, Berton MP, Silva Neto JB da, Silva RP da, Grigoletto L, Silva RM de O, Ferraz JBS, Eler JP, Aguilar I, Lôbo RB, Baldi F. Genome-wide association study and predictive ability for growth traits in Nellore cattle [Internet]. Livestock Science. 2020 ; 231( Ja 2020): 1-11.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1016/j.livsci.2019.103861
Artigo de periodico
Training population optimization for genomic selection (2019)
Berro, Ines; Lado, Bettina; Nalin, Rafael Storto ; Quincke, Martin; Gutierrez, Lucia
Source: Plant Genome. Unidade: ESALQ
Subjects: ARROZ, GENÔMICA, MARCADOR MOLECULAR, MODELOS MATEMÁTICOS, POPULAÇÕES VEGETAIS, SELEÇÃO GENÉTICA, TRIGO
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ABNT
BERRO, Ines et al. Training population optimization for genomic selection. Plant Genome, v. 12, n. 3, p. 1-14, 2019Tradução . . Disponível em: https://doi.org/10.3835/plantgenome2019.04.0028. Acesso em: 16 nov. 2024.
APA
Berro, I., Lado, B., Nalin, R. S., Quincke, M., & Gutierrez, L. (2019). Training population optimization for genomic selection. Plant Genome, 12( 3), 1-14. doi:10.3835/plantgenome2019.04.0028
NLM
Berro I, Lado B, Nalin RS, Quincke M, Gutierrez L. Training population optimization for genomic selection [Internet]. Plant Genome. 2019 ; 12( 3): 1-14.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3835/plantgenome2019.04.0028
Vancouver
Berro I, Lado B, Nalin RS, Quincke M, Gutierrez L. Training population optimization for genomic selection [Internet]. Plant Genome. 2019 ; 12( 3): 1-14.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3835/plantgenome2019.04.0028
Artigo de periodico-carta/editorial
Genomic and postgenomic approaches to understand environmental microorganisms. [Editorial] (2018)
Guazzaroni, Maria Eugenia; Platero, Raul Alberto; Silva-Rocha, Rafael
Source: International Journal of Genomics. Unidades: FFCLRP, FMRP
Assunto: GENÔMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GUAZZARONI, Maria Eugenia e PLATERO, Raul Alberto e SILVA-ROCHA, Rafael. Genomic and postgenomic approaches to understand environmental microorganisms. [Editorial]. International Journal of Genomics. New York: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1155/2018/4915348. Acesso em: 16 nov. 2024. , 2018
APA
Guazzaroni, M. E., Platero, R. A., & Silva-Rocha, R. (2018). Genomic and postgenomic approaches to understand environmental microorganisms. [Editorial]. International Journal of Genomics. New York: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. doi:10.1155/2018/4915348
NLM
Guazzaroni ME, Platero RA, Silva-Rocha R. Genomic and postgenomic approaches to understand environmental microorganisms. [Editorial] [Internet]. International Journal of Genomics. 2018 ; 2018[citado 2024 nov. 16 ] Available from: https://doi.org/10.1155/2018/4915348
Vancouver
Guazzaroni ME, Platero RA, Silva-Rocha R. Genomic and postgenomic approaches to understand environmental microorganisms. [Editorial] [Internet]. International Journal of Genomics. 2018 ; 2018[citado 2024 nov. 16 ] Available from: https://doi.org/10.1155/2018/4915348

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