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Artigo de periodico
Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells (2020)
Pereira, Túlio Felipe; Levin, Gabriel ; DeOcesano-Pereira, Carlos ; Caodaglio, Amanda Schiersner ; Fujita, André ; Tonso, Aldo ; Sogayar, Mari Cleide
Source: BMC Research Notes. Unidades: IME, EP, IQ, BIOTECNOLOGIA, FM
Subjects: BIOINFORMÁTICA, PROLIFERAÇÃO CELULAR
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ABNT
PEREIRA, Túlio Felipe et al. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells. BMC Research Notes, v. 13, n. 1, p. 1-7, 2020Tradução . . Disponível em: https://doi.org/10.1186/s13104-020-4914-8. Acesso em: 28 abr. 2024.
APA
Pereira, T. F., Levin, G., DeOcesano-Pereira, C., Caodaglio, A. S., Fujita, A., Tonso, A., & Sogayar, M. C. (2020). Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells. BMC Research Notes, 13( 1), 1-7. doi:10.1186/s13104-020-4914-8
NLM
Pereira TF, Levin G, DeOcesano-Pereira C, Caodaglio AS, Fujita A, Tonso A, Sogayar MC. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells [Internet]. BMC Research Notes. 2020 ;13( 1): 1-7.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/s13104-020-4914-8
Vancouver
Pereira TF, Levin G, DeOcesano-Pereira C, Caodaglio AS, Fujita A, Tonso A, Sogayar MC. Fluorescence-based method is more accurate than counting-based methods for plotting growth curves of adherent cells [Internet]. BMC Research Notes. 2020 ;13( 1): 1-7.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/s13104-020-4914-8
Artigo de periodico
CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature (2019)
Machado, Raquel Arminda Carvalho ; Schneider, Hannah; DeOcesano-Pereira, Carlos ; Lichtenstein, Flávio ; Andrade, Fernando; Fujita, André ; Lima, Marina Trombetta ; Weller, Michael; Bowman-Colin, Christian ; Sogayar, Mari Cleide
Source: Scientific Reports. Unidades: IME, IQ, FM
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACHADO, Raquel Arminda Carvalho et al. CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature. Scientific Reports, v. 9, p. 1-13 art. 3952, 2019Tradução . . Disponível em: https://doi.org/10.1038/s41598-019-39564-w. Acesso em: 28 abr. 2024.
APA
Machado, R. A. C., Schneider, H., DeOcesano-Pereira, C., Lichtenstein, F., Andrade, F., Fujita, A., et al. (2019). CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature. Scientific Reports, 9, 1-13 art. 3952. doi:10.1038/s41598-019-39564-w
NLM
Machado RAC, Schneider H, DeOcesano-Pereira C, Lichtenstein F, Andrade F, Fujita A, Lima MT, Weller M, Bowman-Colin C, Sogayar MC. CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature [Internet]. Scientific Reports. 2019 ; 9 1-13 art. 3952.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1038/s41598-019-39564-w
Vancouver
Machado RAC, Schneider H, DeOcesano-Pereira C, Lichtenstein F, Andrade F, Fujita A, Lima MT, Weller M, Bowman-Colin C, Sogayar MC. CHD7 promotes glioblastoma cell motility and invasiveness through transcriptional modulation of an invasion signature [Internet]. Scientific Reports. 2019 ; 9 1-13 art. 3952.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1038/s41598-019-39564-w
Artigo de periodico
RECK is not an independent prognostic marker for breast cancer (2015)
Gomes, Luciana Rodrigues; Fujita, André ; Mott, Joni D ; Soares, Fernando Augusto ; Labriola, Leticia ; Sogayar, Mari Cleide
Source: BMC Cancer. Unidades: IME, FO, IQ
Subjects: IMUNOHISTOQUÍMICA, NEOPLASIAS MAMÁRIAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GOMES, Luciana Rodrigues et al. RECK is not an independent prognostic marker for breast cancer. BMC Cancer, v. 15, p. 1-11 art. 660, 2015Tradução . . Disponível em: https://doi.org/10.1186/s12885-015-1666-2. Acesso em: 28 abr. 2024.
APA
Gomes, L. R., Fujita, A., Mott, J. D., Soares, F. A., Labriola, L., & Sogayar, M. C. (2015). RECK is not an independent prognostic marker for breast cancer. BMC Cancer, 15, 1-11 art. 660. doi:10.1186/s12885-015-1666-2
NLM
Gomes LR, Fujita A, Mott JD, Soares FA, Labriola L, Sogayar MC. RECK is not an independent prognostic marker for breast cancer [Internet]. BMC Cancer. 2015 ; 15 1-11 art. 660.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/s12885-015-1666-2
Vancouver
Gomes LR, Fujita A, Mott JD, Soares FA, Labriola L, Sogayar MC. RECK is not an independent prognostic marker for breast cancer [Internet]. BMC Cancer. 2015 ; 15 1-11 art. 660.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/s12885-015-1666-2
Artigo de periodico
A quantitative and humane tail bleeding assay for efficacy evaluation of antihaemophilic factors in haemophilia A mice (2014)
Molina, Erika de Simone ; Fujita, André ; Sogayar, Mari Cleide ; Demasi, Marcos Angelo Almeida
Source: Haemophilia. Unidades: IME, IQ, BIOTECNOLOGIA
Subjects: BIOINFORMÁTICA, HEMOFILIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOLINA, Erika de Simone et al. A quantitative and humane tail bleeding assay for efficacy evaluation of antihaemophilic factors in haemophilia A mice. Haemophilia, v. 20, p. e392-e398, 2014Tradução . . Disponível em: https://doi.org/10.1111/hae.12484. Acesso em: 28 abr. 2024.
APA
Molina, E. de S., Fujita, A., Sogayar, M. C., & Demasi, M. A. A. (2014). A quantitative and humane tail bleeding assay for efficacy evaluation of antihaemophilic factors in haemophilia A mice. Haemophilia, 20, e392-e398. doi:10.1111/hae.12484
NLM
Molina E de S, Fujita A, Sogayar MC, Demasi MAA. A quantitative and humane tail bleeding assay for efficacy evaluation of antihaemophilic factors in haemophilia A mice [Internet]. Haemophilia. 2014 ; 20 e392-e398.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1111/hae.12484
Vancouver
Molina E de S, Fujita A, Sogayar MC, Demasi MAA. A quantitative and humane tail bleeding assay for efficacy evaluation of antihaemophilic factors in haemophilia A mice [Internet]. Haemophilia. 2014 ; 20 e392-e398.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1111/hae.12484
Artigo de periodico
Unveiling novel genes upregulated by both rhBMP2 and rhBMP7 during early osteoblastic transdifferentiation of C2C12 cells (2011)
Bustus-Valenzuela, Juan C.; Fujita, André ; Halcsik, Erik; Granjeiro, José Mauro ; Sogayar, Mari Cleide
Source: BMC Research Notes. Unidades: IME, IQ
Assunto: BIOQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BUSTUS-VALENZUELA, Juan C. et al. Unveiling novel genes upregulated by both rhBMP2 and rhBMP7 during early osteoblastic transdifferentiation of C2C12 cells. BMC Research Notes, v. 4, p. 1-15, 2011Tradução . . Disponível em: https://doi.org/10.1186/1756-0500-4-370. Acesso em: 28 abr. 2024.
APA
Bustus-Valenzuela, J. C., Fujita, A., Halcsik, E., Granjeiro, J. M., & Sogayar, M. C. (2011). Unveiling novel genes upregulated by both rhBMP2 and rhBMP7 during early osteoblastic transdifferentiation of C2C12 cells. BMC Research Notes, 4, 1-15. doi:10.1186/1756-0500-4-370
NLM
Bustus-Valenzuela JC, Fujita A, Halcsik E, Granjeiro JM, Sogayar MC. Unveiling novel genes upregulated by both rhBMP2 and rhBMP7 during early osteoblastic transdifferentiation of C2C12 cells [Internet]. BMC Research Notes. 2011 ; 4 1-15.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/1756-0500-4-370
Vancouver
Bustus-Valenzuela JC, Fujita A, Halcsik E, Granjeiro JM, Sogayar MC. Unveiling novel genes upregulated by both rhBMP2 and rhBMP7 during early osteoblastic transdifferentiation of C2C12 cells [Internet]. BMC Research Notes. 2011 ; 4 1-15.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/1756-0500-4-370
Artigo de periodico
GEDI: a user-friendly toolbox for analysis of large-scale gene expression data (2007)
Fujita, André ; Sato, João Ricardo; Ferreira, Carlos Eduardo ; Sogayar, Mari Cleide
Source: BMC Bioinformatics. Unidades: IME, IQ, BIOINFORMÁTICA
Subjects: EXPRESSÃO GÊNICA, BIOQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. GEDI: a user-friendly toolbox for analysis of large-scale gene expression data. BMC Bioinformatics, v. 8, n. art. 457, p. 1-7, 2007Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-8-457. Acesso em: 28 abr. 2024.
APA
Fujita, A., Sato, J. R., Ferreira, C. E., & Sogayar, M. C. (2007). GEDI: a user-friendly toolbox for analysis of large-scale gene expression data. BMC Bioinformatics, 8( art. 457), 1-7. doi:10.1186/1471-2105-8-457
NLM
Fujita A, Sato JR, Ferreira CE, Sogayar MC. GEDI: a user-friendly toolbox for analysis of large-scale gene expression data [Internet]. BMC Bioinformatics. 2007 ; 8( art. 457): 1-7.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/1471-2105-8-457
Vancouver
Fujita A, Sato JR, Ferreira CE, Sogayar MC. GEDI: a user-friendly toolbox for analysis of large-scale gene expression data [Internet]. BMC Bioinformatics. 2007 ; 8( art. 457): 1-7.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/1471-2105-8-457
Artigo de periodico
Modeling gene expression regulatory networks with the sparse vector autoregressive model (2007)
Fujita, André ; Sato, João Ricardo; Garay-Malpartida, Humberto Miguel; Yamaguchi, Rui; Miyano, Satoru; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo
Source: BMC Systems Biology. Unidades: IQ, IME, BIOINFORMÁTICA
Subjects: EXPRESSÃO GÊNICA, BIOQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. Modeling gene expression regulatory networks with the sparse vector autoregressive model. BMC Systems Biology, v. 1, n. 39, p. 1-11, 2007Tradução . . Disponível em: https://doi.org/10.1186/1752-0509-1-39. Acesso em: 28 abr. 2024.
APA
Fujita, A., Sato, J. R., Garay-Malpartida, H. M., Yamaguchi, R., Miyano, S., Sogayar, M. C., & Ferreira, C. E. (2007). Modeling gene expression regulatory networks with the sparse vector autoregressive model. BMC Systems Biology, 1( 39), 1-11. doi:10.1186/1752-0509-1-39
NLM
Fujita A, Sato JR, Garay-Malpartida HM, Yamaguchi R, Miyano S, Sogayar MC, Ferreira CE. Modeling gene expression regulatory networks with the sparse vector autoregressive model [Internet]. BMC Systems Biology. 2007 ; 1( 39): 1-11.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/1752-0509-1-39
Vancouver
Fujita A, Sato JR, Garay-Malpartida HM, Yamaguchi R, Miyano S, Sogayar MC, Ferreira CE. Modeling gene expression regulatory networks with the sparse vector autoregressive model [Internet]. BMC Systems Biology. 2007 ; 1( 39): 1-11.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1186/1752-0509-1-39
Artigo de periodico
Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method (2007)
Fujita, André ; Sato, João Ricardo ; Garay-Malpartida, Humberto Miguel ; Morettin, Pedro Alberto ; Sogayar, Mari Cleide ; Ferreira, Carlos Eduardo
Source: Bioinformatics. Unidades: IME, IQ, BIOINFORMÁTICA
Subjects: EXPRESSÃO GÊNICA, BIOQUÍMICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method. Bioinformatics, v. 23, n. 13, p. 1623-1630, 2007Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btm151. Acesso em: 28 abr. 2024.
APA
Fujita, A., Sato, J. R., Garay-Malpartida, H. M., Morettin, P. A., Sogayar, M. C., & Ferreira, C. E. (2007). Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method. Bioinformatics, 23( 13), 1623-1630. doi:10.1093/bioinformatics/btm151
NLM
Fujita A, Sato JR, Garay-Malpartida HM, Morettin PA, Sogayar MC, Ferreira CE. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method [Internet]. Bioinformatics. 2007 ; 23( 13): 1623-1630.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1093/bioinformatics/btm151
Vancouver
Fujita A, Sato JR, Garay-Malpartida HM, Morettin PA, Sogayar MC, Ferreira CE. Time-varying modeling of gene expression regulatory networks using the wavelet dynamic vector autoregressive method [Internet]. Bioinformatics. 2007 ; 23( 13): 1623-1630.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1093/bioinformatics/btm151
Artigo de periodico
The GATO gene annotation tool for research laboratories (2005)
Fujita, André ; Massirer, Katlin Brauer; Durham, Alan Mitchell ; Ferreira, Carlos Eduardo ; Sogayar, Mari Cleide
Source: Brazilian Journal of Medical and Biological Research. Unidades: IME, IQ, BIOINFORMÁTICA
Subjects: BIOINFORMÁTICA, BIOQUÍMICA, GENOMAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FUJITA, André et al. The GATO gene annotation tool for research laboratories. Brazilian Journal of Medical and Biological Research, v. 38, n. 11, p. 1571-1574, 2005Tradução . . Disponível em: https://doi.org/10.1590/S0100-879X2005001100002. Acesso em: 28 abr. 2024.
APA
Fujita, A., Massirer, K. B., Durham, A. M., Ferreira, C. E., & Sogayar, M. C. (2005). The GATO gene annotation tool for research laboratories. Brazilian Journal of Medical and Biological Research, 38( 11), 1571-1574. doi:10.1590/S0100-879X2005001100002
NLM
Fujita A, Massirer KB, Durham AM, Ferreira CE, Sogayar MC. The GATO gene annotation tool for research laboratories [Internet]. Brazilian Journal of Medical and Biological Research. 2005 ; 38( 11): 1571-1574.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1590/S0100-879X2005001100002
Vancouver
Fujita A, Massirer KB, Durham AM, Ferreira CE, Sogayar MC. The GATO gene annotation tool for research laboratories [Internet]. Brazilian Journal of Medical and Biological Research. 2005 ; 38( 11): 1571-1574.[citado 2024 abr. 28 ] Available from: https://doi.org/10.1590/S0100-879X2005001100002

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