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Artigo de periodico
XiP: a computational environment to create, extend and share workflows (2013)
Nagasaki, Masao ; Fujita, André ; Sekiya, Yayoi; Saito, Ayumu ; Ikeda, Emi; Li, Chen; Miyano, Satoru
Source: Bioinformatics. Unidade: IME
Assunto: PROGRAMAÇÃO INTEIRA E FLUXOS EM REDE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAGASAKI, Masao et al. XiP: a computational environment to create, extend and share workflows. Bioinformatics, v. 29, n. 1, p. 137-139, 2013Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/bts630. Acesso em: 08 nov. 2025.
APA
Nagasaki, M., Fujita, A., Sekiya, Y., Saito, A., Ikeda, E., Li, C., & Miyano, S. (2013). XiP: a computational environment to create, extend and share workflows. Bioinformatics, 29( 1), 137-139. doi:10.1093/bioinformatics/bts630
NLM
Nagasaki M, Fujita A, Sekiya Y, Saito A, Ikeda E, Li C, Miyano S. XiP: a computational environment to create, extend and share workflows [Internet]. Bioinformatics. 2013 ; 29( 1): 137-139.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/bts630
Vancouver
Nagasaki M, Fujita A, Sekiya Y, Saito A, Ikeda E, Li C, Miyano S. XiP: a computational environment to create, extend and share workflows [Internet]. Bioinformatics. 2013 ; 29( 1): 137-139.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/bts630
Artigo de periodico
Systems biology model repository for macrophage pathway simulation (2011)
Nagasawa, Masao; Saito, Ayumu ; Fujita, André ; Tremmel, Georg ; Ueno, Kazuko ; Ikeda, Emi; Jeong, Euna ; Miyano, Satoru
Source: Bioinformatics. Unidade: IME
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
NAGASAWA, Masao et al. Systems biology model repository for macrophage pathway simulation. Bioinformatics, v. 27, n. 11, p. 1591-1593, 2011Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btr173. Acesso em: 08 nov. 2025.
APA
Nagasawa, M., Saito, A., Fujita, A., Tremmel, G., Ueno, K., Ikeda, E., et al. (2011). Systems biology model repository for macrophage pathway simulation. Bioinformatics, 27( 11), 1591-1593. doi:10.1093/bioinformatics/btr173
NLM
Nagasawa M, Saito A, Fujita A, Tremmel G, Ueno K, Ikeda E, Jeong E, Miyano S. Systems biology model repository for macrophage pathway simulation [Internet]. Bioinformatics. 2011 ; 27( 11): 1591-1593.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/btr173
Vancouver
Nagasawa M, Saito A, Fujita A, Tremmel G, Ueno K, Ikeda E, Jeong E, Miyano S. Systems biology model repository for macrophage pathway simulation [Internet]. Bioinformatics. 2011 ; 27( 11): 1591-1593.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/btr173
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, Interunidades em 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: 08 nov. 2025.
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 2025 nov. 08 ] 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 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/btm151
Artigo de periodico
TRAP: automated classification, quantification and annotation of tandemly repeated sequences (2006)
Sobreira, Tiago J. Paschoal; Durham, Alan Mitchell ; Gruber, Arthur
Source: Bioinformatics. Unidades: IME, ICB
Assunto: DESENVOLVIMENTO DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOBREIRA, Tiago J. Paschoal e DURHAM, Alan Mitchell e GRUBER, Arthur. TRAP: automated classification, quantification and annotation of tandemly repeated sequences. Bioinformatics, v. 22, n. 3, p. 361-362, 2006Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/bti809. Acesso em: 08 nov. 2025.
APA
Sobreira, T. J. P., Durham, A. M., & Gruber, A. (2006). TRAP: automated classification, quantification and annotation of tandemly repeated sequences. Bioinformatics, 22( 3), 361-362. doi:10.1093/bioinformatics/bti809
NLM
Sobreira TJP, Durham AM, Gruber A. TRAP: automated classification, quantification and annotation of tandemly repeated sequences [Internet]. Bioinformatics. 2006 ; 22( 3): 361-362.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/bti809
Vancouver
Sobreira TJP, Durham AM, Gruber A. TRAP: automated classification, quantification and annotation of tandemly repeated sequences [Internet]. Bioinformatics. 2006 ; 22( 3): 361-362.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/bti809
Artigo de periodico
EGene: a configurable pipeline generation system for automated sequence analysis (2005)
Durham, Alan Mitchell ; Kashiwabara, André Yoshiaki; Matsunaga, Fernando Tadashi Guerrera; Ahagon, P. H.; Rainone, Flávia; Varuzza, Leonardo; Gruber, Arthur
Source: Bioinformatics. Unidades: IME, FMVZ
Subjects: COMPUTAÇÃO APLICADA, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DURHAM, Alan Mitchell et al. EGene: a configurable pipeline generation system for automated sequence analysis. Bioinformatics, v. 21, n. 12, p. 15 2812–2813, 2005Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/bti424. Acesso em: 08 nov. 2025.
APA
Durham, A. M., Kashiwabara, A. Y., Matsunaga, F. T. G., Ahagon, P. H., Rainone, F., Varuzza, L., & Gruber, A. (2005). EGene: a configurable pipeline generation system for automated sequence analysis. Bioinformatics, 21( 12), 15 2812–2813. doi:10.1093/bioinformatics/bti424
NLM
Durham AM, Kashiwabara AY, Matsunaga FTG, Ahagon PH, Rainone F, Varuzza L, Gruber A. EGene: a configurable pipeline generation system for automated sequence analysis [Internet]. Bioinformatics. 2005 ; 21( 12): 15 2812–2813.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/bti424
Vancouver
Durham AM, Kashiwabara AY, Matsunaga FTG, Ahagon PH, Rainone F, Varuzza L, Gruber A. EGene: a configurable pipeline generation system for automated sequence analysis [Internet]. Bioinformatics. 2005 ; 21( 12): 15 2812–2813.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/bti424
Artigo de periodico
Is cross-validation better than resubstitution for ranking genes? (2004)
Braga-Neto, Ulisses; Hashimoto, Ronaldo Fumio ; Dougherty, Edward R.; Nguyen, Danh V.; Carroll, Raymond J.
Source: Bioinformatics. Unidade: IME
Assunto: BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BRAGA-NETO, Ulisses et al. Is cross-validation better than resubstitution for ranking genes?. Bioinformatics, v. 20, n. 2, p. 253-258, 2004Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/btg399. Acesso em: 08 nov. 2025.
APA
Braga-Neto, U., Hashimoto, R. F., Dougherty, E. R., Nguyen, D. V., & Carroll, R. J. (2004). Is cross-validation better than resubstitution for ranking genes? Bioinformatics, 20( 2), 253-258. doi:10.1093/bioinformatics/btg399
NLM
Braga-Neto U, Hashimoto RF, Dougherty ER, Nguyen DV, Carroll RJ. Is cross-validation better than resubstitution for ranking genes? [Internet]. Bioinformatics. 2004 ; 20( 2): 253-258.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/btg399
Vancouver
Braga-Neto U, Hashimoto RF, Dougherty ER, Nguyen DV, Carroll RJ. Is cross-validation better than resubstitution for ranking genes? [Internet]. Bioinformatics. 2004 ; 20( 2): 253-258.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/btg399
Artigo de periodico
Growing genetic regulatory networks from seed genes (2004)
Hashimoto, Ronaldo Fumio ; Kim, Seungchan; Shumulevich, Ilya; Zhang, Wei; Bittner, Michael L; Dougherty, Edward R
Source: Bioinformatics. Unidade: IME
Subjects: BIOINFORMÁTICA, COMBINATÓRIA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HASHIMOTO, Ronaldo Fumio et al. Growing genetic regulatory networks from seed genes. Bioinformatics, v. 20, n. 8, p. 1241-1247, 2004Tradução . . Disponível em: https://doi.org/10.1093/bioinformatics/bth074. Acesso em: 08 nov. 2025.
APA
Hashimoto, R. F., Kim, S., Shumulevich, I., Zhang, W., Bittner, M. L., & Dougherty, E. R. (2004). Growing genetic regulatory networks from seed genes. Bioinformatics, 20( 8), 1241-1247. doi:10.1093/bioinformatics/bth074
NLM
Hashimoto RF, Kim S, Shumulevich I, Zhang W, Bittner ML, Dougherty ER. Growing genetic regulatory networks from seed genes [Internet]. Bioinformatics. 2004 ; 20( 8): 1241-1247.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/bth074
Vancouver
Hashimoto RF, Kim S, Shumulevich I, Zhang W, Bittner ML, Dougherty ER. Growing genetic regulatory networks from seed genes [Internet]. Bioinformatics. 2004 ; 20( 8): 1241-1247.[citado 2025 nov. 08 ] Available from: https://doi.org/10.1093/bioinformatics/bth074

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