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Artigo de periodico
ChiMera: an easy to use pipeline for bacterial genome based metabolic network reconstruction, evaluation and visualization (2022)
Tamasco, Gustavo; Kumar, Manish; Zengler, Karsten; Silva-Rocha, Rafael ; Silva, Ricardo Roberto da
Source: BMC Bioinformatics. Unidade: FMRP
Subjects: GENOMAS, ENGENHARIA GENÉTICA, METABOLISMO
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TAMASCO, Gustavo et al. ChiMera: an easy to use pipeline for bacterial genome based metabolic network reconstruction, evaluation and visualization. BMC Bioinformatics, v. 23, p. 1-13, 2022Tradução . . Disponível em: https://doi.org/10.1186/s12859-022-05056-4. Acesso em: 03 nov. 2024.
APA
Tamasco, G., Kumar, M., Zengler, K., Silva-Rocha, R., & Silva, R. R. da. (2022). ChiMera: an easy to use pipeline for bacterial genome based metabolic network reconstruction, evaluation and visualization. BMC Bioinformatics, 23, 1-13. doi:10.1186/s12859-022-05056-4
NLM
Tamasco G, Kumar M, Zengler K, Silva-Rocha R, Silva RR da. ChiMera: an easy to use pipeline for bacterial genome based metabolic network reconstruction, evaluation and visualization [Internet]. BMC Bioinformatics. 2022 ; 23 1-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-022-05056-4
Vancouver
Tamasco G, Kumar M, Zengler K, Silva-Rocha R, Silva RR da. ChiMera: an easy to use pipeline for bacterial genome based metabolic network reconstruction, evaluation and visualization [Internet]. BMC Bioinformatics. 2022 ; 23 1-13.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-022-05056-4
Artigo de periodico
geneRFinder: gene finding in distinct metagenomic data complexities (2021)
Silva, Raíssa; Padovani, Kleber ; Goes, Fabiana Rodrigues de ; Alves, Ronnie
Source: BMC Bioinformatics. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, GENÔMICA, BIOINFORMÁTICA
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SILVA, Raíssa et al. geneRFinder: gene finding in distinct metagenomic data complexities. BMC Bioinformatics, v. 22, p. 1-17, 2021Tradução . . Disponível em: https://doi.org/10.1186/s12859-021-03997-w. Acesso em: 03 nov. 2024.
APA
Silva, R., Padovani, K., Goes, F. R. de, & Alves, R. (2021). geneRFinder: gene finding in distinct metagenomic data complexities. BMC Bioinformatics, 22, 1-17. doi:10.1186/s12859-021-03997-w
NLM
Silva R, Padovani K, Goes FR de, Alves R. geneRFinder: gene finding in distinct metagenomic data complexities [Internet]. BMC Bioinformatics. 2021 ; 22 1-17.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-021-03997-w
Vancouver
Silva R, Padovani K, Goes FR de, Alves R. geneRFinder: gene finding in distinct metagenomic data complexities [Internet]. BMC Bioinformatics. 2021 ; 22 1-17.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-021-03997-w
Artigo de periodico
A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids (2018)
Pereira, Guilherme S; Garcia, Antonio Augusto Franco ; Margarido, Gabriel Rodrigues Alves
Source: BMC Bioinformatics. Unidade: ESALQ
Subjects: ALELOS, ALFAFA, BATATA, GENÉTICA DE POPULAÇÕES VEGETAIS, GENÓTIPOS, GRAMÍNEAS, MAPEAMENTO GENÉTICO, SEQUENCIAMENTO GENÉTICO, SOFTWARES
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PEREIRA, Guilherme S e GARCIA, Antonio Augusto Franco e MARGARIDO, Gabriel Rodrigues Alves. A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids. BMC Bioinformatics, v. 19, p. 1-10, 2018Tradução . . Disponível em: https://doi.org/10.1186/s12859-018-2433-6. Acesso em: 03 nov. 2024.
APA
Pereira, G. S., Garcia, A. A. F., & Margarido, G. R. A. (2018). A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids. BMC Bioinformatics, 19, 1-10. doi:10.1186/s12859-018-2433-6
NLM
Pereira GS, Garcia AAF, Margarido GRA. A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids [Internet]. BMC Bioinformatics. 2018 ; 19 1-10.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-018-2433-6
Vancouver
Pereira GS, Garcia AAF, Margarido GRA. A fully automated pipeline for quantitative genotype calling from next generation sequencing data in autopolyploids [Internet]. BMC Bioinformatics. 2018 ; 19 1-10.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-018-2433-6
Artigo de periodico
CEMiTool: a bioconductor package for performing comprehensive modular co-expression analyses (2018)
Russo, Pedro de Sá Tavares; Ferreira, Gustavo Rodrigues; Cardozo, Lucas Esteves; Bürger, Matheus Carvalho; Arias-Carrasco, Raul; Maruyama, Sandra Regina; Hirata, Thiago Dominguez Crespo; Lima, Diógenes Saulo de; Passos, Fernando Marcon; Fukutani, Kiyoshi Ferreira; Lever, Melissa; Silva, João Santana da; Maracajá-Coutinho, Vinicius; Nakaya, Helder Takashi Imoto
Source: BMC Bioinformatics. Unidades: FMRP, FCF
Subjects: LEISHMANIA, TRANSCRIÇÃO GÊNICA, BIOINFORMÁTICA
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RUSSO, Pedro de Sá Tavares et al. CEMiTool: a bioconductor package for performing comprehensive modular co-expression analyses. BMC Bioinformatics, v. 19, n. 1, p. 1-13 art. 56, 2018Tradução . . Disponível em: https://doi.org/10.1186/s12859-018-2053-1. Acesso em: 03 nov. 2024.
APA
Russo, P. de S. T., Ferreira, G. R., Cardozo, L. E., Bürger, M. C., Arias-Carrasco, R., Maruyama, S. R., et al. (2018). CEMiTool: a bioconductor package for performing comprehensive modular co-expression analyses. BMC Bioinformatics, 19( 1), 1-13 art. 56. doi:10.1186/s12859-018-2053-1
NLM
Russo P de ST, Ferreira GR, Cardozo LE, Bürger MC, Arias-Carrasco R, Maruyama SR, Hirata TDC, Lima DS de, Passos FM, Fukutani KF, Lever M, Silva JS da, Maracajá-Coutinho V, Nakaya HTI. CEMiTool: a bioconductor package for performing comprehensive modular co-expression analyses [Internet]. BMC Bioinformatics. 2018 ; 19( 1): 1-13 art. 56.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-018-2053-1
Vancouver
Russo P de ST, Ferreira GR, Cardozo LE, Bürger MC, Arias-Carrasco R, Maruyama SR, Hirata TDC, Lima DS de, Passos FM, Fukutani KF, Lever M, Silva JS da, Maracajá-Coutinho V, Nakaya HTI. CEMiTool: a bioconductor package for performing comprehensive modular co-expression analyses [Internet]. BMC Bioinformatics. 2018 ; 19( 1): 1-13 art. 56.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-018-2053-1
Artigo de periodico
StructRNAfinder: an automated pipeline and web server for RNA families prediction (2018)
Arias-Carrasco, Raul; Vásquez-Morán, Yessenia; Nakaya, Helder Takashi Imoto ; Maracajá-Coutinho, Vinicius
Source: BMC Bioinformatics. Unidade: FCF
Subjects: BIOINFORMÁTICA, RNA, SEQUENCIAMENTO GENÉTICO
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ARIAS-CARRASCO, Raul et al. StructRNAfinder: an automated pipeline and web server for RNA families prediction. BMC Bioinformatics, v. 19, n. 1, p. 1-7 art. 55, 2018Tradução . . Disponível em: https://doi.org/10.1186/s12859-018-2052-2. Acesso em: 03 nov. 2024.
APA
Arias-Carrasco, R., Vásquez-Morán, Y., Nakaya, H. T. I., & Maracajá-Coutinho, V. (2018). StructRNAfinder: an automated pipeline and web server for RNA families prediction. BMC Bioinformatics, 19( 1), 1-7 art. 55. doi:10.1186/s12859-018-2052-2
NLM
Arias-Carrasco R, Vásquez-Morán Y, Nakaya HTI, Maracajá-Coutinho V. StructRNAfinder: an automated pipeline and web server for RNA families prediction [Internet]. BMC Bioinformatics. 2018 ; 19( 1): 1-7 art. 55.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-018-2052-2
Vancouver
Arias-Carrasco R, Vásquez-Morán Y, Nakaya HTI, Maracajá-Coutinho V. StructRNAfinder: an automated pipeline and web server for RNA families prediction [Internet]. BMC Bioinformatics. 2018 ; 19( 1): 1-7 art. 55.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-018-2052-2
Artigo de periodico
A systematic comparative evaluation of biclustering techniques (2017)
Padilha, Victor A; Campello, Ricardo José Gabrielli Barreto
Source: BMC Bioinformatics. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, RECONHECIMENTO DE PADRÕES, BIOINFORMÁTICA, EXPRESSÃO GÊNICA
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PADILHA, Victor A e CAMPELLO, Ricardo José Gabrielli Barreto. A systematic comparative evaluation of biclustering techniques. BMC Bioinformatics, v. 18, p. 1-25, 2017Tradução . . Disponível em: https://doi.org/10.1186/s12859-017-1487-1. Acesso em: 03 nov. 2024.
APA
Padilha, V. A., & Campello, R. J. G. B. (2017). A systematic comparative evaluation of biclustering techniques. BMC Bioinformatics, 18, 1-25. doi:10.1186/s12859-017-1487-1
NLM
Padilha VA, Campello RJGB. A systematic comparative evaluation of biclustering techniques [Internet]. BMC Bioinformatics. 2017 ; 18 1-25.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-017-1487-1
Vancouver
Padilha VA, Campello RJGB. A systematic comparative evaluation of biclustering techniques [Internet]. BMC Bioinformatics. 2017 ; 18 1-25.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-017-1487-1
Artigo de periodico
CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components (2017)
Heberle, Henry; Carazzolle, Marcelo Falsarella; Telles, Guilherme P; Meirelles, Gabriela Vaz; Minghim, Rosane
Source: BMC Bioinformatics. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS, VISUALIZAÇÃO, BIOLOGIA MOLECULAR
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HEBERLE, Henry et al. CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components. BMC Bioinformatics, v. 18, p. Se 2017, 2017Tradução . . Disponível em: https://doi.org/10.1186/s12859-017-1787-5. Acesso em: 03 nov. 2024.
APA
Heberle, H., Carazzolle, M. F., Telles, G. P., Meirelles, G. V., & Minghim, R. (2017). CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components. BMC Bioinformatics, 18, Se 2017. doi:10.1186/s12859-017-1787-5
NLM
Heberle H, Carazzolle MF, Telles GP, Meirelles GV, Minghim R. CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components [Internet]. BMC Bioinformatics. 2017 ; 18 Se 2017.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-017-1787-5
Vancouver
Heberle H, Carazzolle MF, Telles GP, Meirelles GV, Minghim R. CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components [Internet]. BMC Bioinformatics. 2017 ; 18 Se 2017.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-017-1787-5
Artigo de periodico
Reduction strategies for hierarchical multi-label classification in protein function prediction (2016)
Cerri, Ricardo; Barros, Rodrigo C; Carvalho, André Carlos Ponce de Leon Ferreira de ; Jin, Yaochu
Source: BMC Bioinformatics. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, REDES NEURAIS, RECONHECIMENTO DE PADRÕES
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CERRI, Ricardo et al. Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics, v. 17, p. 1-24, 2016Tradução . . Disponível em: https://doi.org/10.1186/s12859-016-1232-1. Acesso em: 03 nov. 2024.
APA
Cerri, R., Barros, R. C., Carvalho, A. C. P. de L. F. de, & Jin, Y. (2016). Reduction strategies for hierarchical multi-label classification in protein function prediction. BMC Bioinformatics, 17, 1-24. doi:10.1186/s12859-016-1232-1
NLM
Cerri R, Barros RC, Carvalho ACP de LF de, Jin Y. Reduction strategies for hierarchical multi-label classification in protein function prediction [Internet]. BMC Bioinformatics. 2016 ; 17 1-24.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-016-1232-1
Vancouver
Cerri R, Barros RC, Carvalho ACP de LF de, Jin Y. Reduction strategies for hierarchical multi-label classification in protein function prediction [Internet]. BMC Bioinformatics. 2016 ; 17 1-24.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-016-1232-1
Artigo de periodico
Automatic learning of pre-miRNAs from different species (2016)
Lopes, Ivani de O. N; Schliep, Alexander; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: BMC Bioinformatics. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, BIOINFORMÁTICA
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ABNT
LOPES, Ivani de O. N e SCHLIEP, Alexander e CARVALHO, André Carlos Ponce de Leon Ferreira de. Automatic learning of pre-miRNAs from different species. BMC Bioinformatics, v. 17, p. 1-18, 2016Tradução . . Disponível em: https://doi.org/10.1186/s12859-016-1036-3. Acesso em: 03 nov. 2024.
APA
Lopes, I. de O. N., Schliep, A., & Carvalho, A. C. P. de L. F. de. (2016). Automatic learning of pre-miRNAs from different species. BMC Bioinformatics, 17, 1-18. doi:10.1186/s12859-016-1036-3
NLM
Lopes I de ON, Schliep A, Carvalho ACP de LF de. Automatic learning of pre-miRNAs from different species [Internet]. BMC Bioinformatics. 2016 ; 17 1-18.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-016-1036-3
Vancouver
Lopes I de ON, Schliep A, Carvalho ACP de LF de. Automatic learning of pre-miRNAs from different species [Internet]. BMC Bioinformatics. 2016 ; 17 1-18.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-016-1036-3
Trabalho de evento-anais periodico
NERI: network-medicine based integrative approach for disease gene prioritization by relative importance (2015)
Simões, Sérgio Nery; Martins Júnior, David Correa; Pereira, Carlos Alberto de Bragança ; Hashimoto, Ronaldo Fumio ; Brentani, Helena
Source: BMC Bioinformatics. Conference titles: Brazilian Symposium on Bioinformatics 2014. Unidades: IME, FM
Assunto: BIOINFORMÁTICA
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ABNT
SIMÕES, Sérgio Nery et al. NERI: network-medicine based integrative approach for disease gene prioritization by relative importance. BMC Bioinformatics. London: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1186/1471-2105-16-S19-S9. Acesso em: 03 nov. 2024. , 2015
APA
Simões, S. N., Martins Júnior, D. C., Pereira, C. A. de B., Hashimoto, R. F., & Brentani, H. (2015). NERI: network-medicine based integrative approach for disease gene prioritization by relative importance. BMC Bioinformatics. London: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1186/1471-2105-16-S19-S9
NLM
Simões SN, Martins Júnior DC, Pereira CA de B, Hashimoto RF, Brentani H. NERI: network-medicine based integrative approach for disease gene prioritization by relative importance [Internet]. BMC Bioinformatics. 2015 ; 16( article º S9): 14 .[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-16-S19-S9
Vancouver
Simões SN, Martins Júnior DC, Pereira CA de B, Hashimoto RF, Brentani H. NERI: network-medicine based integrative approach for disease gene prioritization by relative importance [Internet]. BMC Bioinformatics. 2015 ; 16( article º S9): 14 .[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-16-S19-S9
Artigo de periodico
InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams (2015)
Heberle, Henry; Meirelles, Gabriela Vaz; Silva, Felipe R. da; Telles, Guilherme P; Minghim, Rosane
Source: BMC Bioinformatics. Unidade: ICMC
Subjects: COMPUTAÇÃO GRÁFICA, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
HEBERLE, Henry et al. InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams. BMC Bioinformatics, v. 16, p. 1-7, 2015Tradução . . Disponível em: https://doi.org/10.1186/s12859-015-0611-3. Acesso em: 03 nov. 2024.
APA
Heberle, H., Meirelles, G. V., Silva, F. R. da, Telles, G. P., & Minghim, R. (2015). InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams. BMC Bioinformatics, 16, 1-7. doi:10.1186/s12859-015-0611-3
NLM
Heberle H, Meirelles GV, Silva FR da, Telles GP, Minghim R. InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams [Internet]. BMC Bioinformatics. 2015 ; 16 1-7.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-015-0611-3
Vancouver
Heberle H, Meirelles GV, Silva FR da, Telles GP, Minghim R. InteractiVenn: a web-based tool for the analysis of sets through Venn diagrams [Internet]. BMC Bioinformatics. 2015 ; 16 1-7.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-015-0611-3
Artigo de periodico
Data-intensive analysis of HIV mutations (2015)
Ozahata, Mina Cintho; Sabino, Ester Cerdeira; Diaz, Ricardo Sobhie; César Júnior, Roberto Marcondes ; Ferreira, João Eduardo
Source: BMC Bioinformatics. Unidades: IME, FM
Subjects: BIOINFORMÁTICA, COMPUTAÇÃO GRÁFICA, ALGORITMOS E ESTRUTURAS DE DADOS, HIV, MUTAÇÃO GENÉTICA
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OZAHATA, Mina Cintho et al. Data-intensive analysis of HIV mutations. BMC Bioinformatics, v. 16, n. 1, 2015Tradução . . Disponível em: https://doi.org/10.1186/s12859-015-0452-0. Acesso em: 03 nov. 2024.
APA
Ozahata, M. C., Sabino, E. C., Diaz, R. S., César Júnior, R. M., & Ferreira, J. E. (2015). Data-intensive analysis of HIV mutations. BMC Bioinformatics, 16( 1). doi:10.1186/s12859-015-0452-0
NLM
Ozahata MC, Sabino EC, Diaz RS, César Júnior RM, Ferreira JE. Data-intensive analysis of HIV mutations [Internet]. BMC Bioinformatics. 2015 ; 16( 1):[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-015-0452-0
Vancouver
Ozahata MC, Sabino EC, Diaz RS, César Júnior RM, Ferreira JE. Data-intensive analysis of HIV mutations [Internet]. BMC Bioinformatics. 2015 ; 16( 1):[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-015-0452-0
Artigo de periodico
A multiobjective approach to the genetic code adaptability problem (2015)
Oliveira, Lariza Laura de; Oliveira, Paulo Sérgio Lopes de; Tinós, Renato
Source: BMC Bioinformatics. Unidade: FFCLRP
Subjects: ALGORITMOS, AMINOÁCIDOS (GENÉTICA), EVOLUÇÃO MOLECULAR, MUTAÇÃO GENÉTICA
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OLIVEIRA, Lariza Laura de e OLIVEIRA, Paulo Sérgio Lopes de e TINÓS, Renato. A multiobjective approach to the genetic code adaptability problem. BMC Bioinformatics, v. 16, 2015Tradução . . Disponível em: https://doi.org/10.1186/s12859-015-0480-9. Acesso em: 03 nov. 2024.
APA
Oliveira, L. L. de, Oliveira, P. S. L. de, & Tinós, R. (2015). A multiobjective approach to the genetic code adaptability problem. BMC Bioinformatics, 16. doi:10.1186/s12859-015-0480-9
NLM
Oliveira LL de, Oliveira PSL de, Tinós R. A multiobjective approach to the genetic code adaptability problem [Internet]. BMC Bioinformatics. 2015 ; 16[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-015-0480-9
Vancouver
Oliveira LL de, Oliveira PSL de, Tinós R. A multiobjective approach to the genetic code adaptability problem [Internet]. BMC Bioinformatics. 2015 ; 16[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/s12859-015-0480-9
Trabalho de evento-anais periodico
On the selection of appropriate distances for gene expression data clustering (2014)
Jaskowiak, Pablo A; Campello, Ricardo José Gabrielli Barreto; Costa, Ivan G
Source: BMC Bioinformatics. Conference titles: Asia Pacific Bioinformatics Conference - APBC. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
JASKOWIAK, Pablo A e CAMPELLO, Ricardo José Gabrielli Barreto e COSTA, Ivan G. On the selection of appropriate distances for gene expression data clustering. BMC Bioinformatics. London: BioMed Central. Disponível em: https://doi.org/10.1186/1471-2105-15-S2-S2. Acesso em: 03 nov. 2024. , 2014
APA
Jaskowiak, P. A., Campello, R. J. G. B., & Costa, I. G. (2014). On the selection of appropriate distances for gene expression data clustering. BMC Bioinformatics. London: BioMed Central. doi:10.1186/1471-2105-15-S2-S2
NLM
Jaskowiak PA, Campello RJGB, Costa IG. On the selection of appropriate distances for gene expression data clustering [Internet]. BMC Bioinformatics. 2014 ; 15 1-17.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-15-S2-S2
Vancouver
Jaskowiak PA, Campello RJGB, Costa IG. On the selection of appropriate distances for gene expression data clustering [Internet]. BMC Bioinformatics. 2014 ; 15 1-17.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-15-S2-S2
Artigo de periodico
The discriminant power of RNA features for pre-miRNA recognition (2014)
Lopes, Ivani O. N; Schliep, Alexander; Carvalho, André Carlos Ponce de Leon Ferreira de
Source: BMC Bioinformatics. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, BIOINFORMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LOPES, Ivani O. N e SCHLIEP, Alexander e CARVALHO, André Carlos Ponce de Leon Ferreira de. The discriminant power of RNA features for pre-miRNA recognition. BMC Bioinformatics, v. 15, p. 1-11, 2014Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-15-124. Acesso em: 03 nov. 2024.
APA
Lopes, I. O. N., Schliep, A., & Carvalho, A. C. P. de L. F. de. (2014). The discriminant power of RNA features for pre-miRNA recognition. BMC Bioinformatics, 15, 1-11. doi:10.1186/1471-2105-15-124
NLM
Lopes ION, Schliep A, Carvalho ACP de LF de. The discriminant power of RNA features for pre-miRNA recognition [Internet]. BMC Bioinformatics. 2014 ; 15 1-11.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-15-124
Vancouver
Lopes ION, Schliep A, Carvalho ACP de LF de. The discriminant power of RNA features for pre-miRNA recognition [Internet]. BMC Bioinformatics. 2014 ; 15 1-11.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-15-124
Artigo de periodico
Computational framework to support integration of biomolecular and clinical data within a translational approach (2013)
Miyoshi, Newton; Pinheiro, Daniel Guariz; Silva Júnior, Wilson Araújo da; Felipe, Joaquim Cezar
Source: BMC Bioinformatics. Unidades: FFCLRP, FMRP
Subjects: INFORMÁTICA MÉDICA, BANCO DE DADOS, ONTOLOGIA
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ABNT
MIYOSHI, Newton et al. Computational framework to support integration of biomolecular and clinical data within a translational approach. BMC Bioinformatics, v. 14, 2013Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-14-180. Acesso em: 03 nov. 2024.
APA
Miyoshi, N., Pinheiro, D. G., Silva Júnior, W. A. da, & Felipe, J. C. (2013). Computational framework to support integration of biomolecular and clinical data within a translational approach. BMC Bioinformatics, 14. doi:10.1186/1471-2105-14-180
NLM
Miyoshi N, Pinheiro DG, Silva Júnior WA da, Felipe JC. Computational framework to support integration of biomolecular and clinical data within a translational approach [Internet]. BMC Bioinformatics. 2013 ; 14[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-14-180
Vancouver
Miyoshi N, Pinheiro DG, Silva Júnior WA da, Felipe JC. Computational framework to support integration of biomolecular and clinical data within a translational approach [Internet]. BMC Bioinformatics. 2013 ; 14[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-14-180
Artigo de periodico
SIS: a program to generate draft genome sequence scaffolds for prokaryotes (2012)
Dias, Zanoni; Dias, Ulisses; Setubal, João Carlos
Source: BMC Bioinformatics. Unidade: IQ
Subjects: GENOMAS, SEQUÊNCIA DO DNA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
DIAS, Zanoni e DIAS, Ulisses e SETUBAL, João Carlos. SIS: a program to generate draft genome sequence scaffolds for prokaryotes. BMC Bioinformatics, v. 13, p. 1-12 art. 96, 2012Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-13-96. Acesso em: 03 nov. 2024.
APA
Dias, Z., Dias, U., & Setubal, J. C. (2012). SIS: a program to generate draft genome sequence scaffolds for prokaryotes. BMC Bioinformatics, 13, 1-12 art. 96. doi:10.1186/1471-2105-13-96
NLM
Dias Z, Dias U, Setubal JC. SIS: a program to generate draft genome sequence scaffolds for prokaryotes [Internet]. BMC Bioinformatics. 2012 ; 13 1-12 art. 96.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-13-96
Vancouver
Dias Z, Dias U, Setubal JC. SIS: a program to generate draft genome sequence scaffolds for prokaryotes [Internet]. BMC Bioinformatics. 2012 ; 13 1-12 art. 96.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-13-96
Artigo de periodico
Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data (2012)
Barros, Rodrigo C; Winck, Ana T; Machado, Karina S; Basgalupp, Márcio P; Carvalho, André Carlos Ponce de Leon Ferreira de ; Ruiz, Duncan D; Souza, Osmar Norberto de
Source: BMC Bioinformatics. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARROS, Rodrigo C et al. Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. BMC Bioinformatics, v. no 2012, n. 1, p. 310-1-310-24, 2012Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-13-310. Acesso em: 03 nov. 2024.
APA
Barros, R. C., Winck, A. T., Machado, K. S., Basgalupp, M. P., Carvalho, A. C. P. de L. F. de, Ruiz, D. D., & Souza, O. N. de. (2012). Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data. BMC Bioinformatics, no 2012( 1), 310-1-310-24. doi:10.1186/1471-2105-13-310
NLM
Barros RC, Winck AT, Machado KS, Basgalupp MP, Carvalho ACP de LF de, Ruiz DD, Souza ON de. Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data [Internet]. BMC Bioinformatics. 2012 ; no 2012( 1): 310-1-310-24.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-13-310
Vancouver
Barros RC, Winck AT, Machado KS, Basgalupp MP, Carvalho ACP de LF de, Ruiz DD, Souza ON de. Automatic design of decision-tree induction algorithms tailored to flexible-receptor docking data [Internet]. BMC Bioinformatics. 2012 ; no 2012( 1): 310-1-310-24.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-13-310
Artigo de periodico
Construct and compare gene coexpression networks with DAPfinder and DAPview (2011)
Skinner, Jeff; Kotliarov, Yuri; Varma, Sudhir; Mine, Karina L; Iambartsev, Anatoli ; Simon, Richard; Huyen, Yentram; Morgun, Andrey
Source: BMC Bioinformatics. Unidade: IME
Subjects: GENES, BIOESTATÍSTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SKINNER, Jeff et al. Construct and compare gene coexpression networks with DAPfinder and DAPview. BMC Bioinformatics, v. 12, n. 1, p. 286, 2011Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-12-286. Acesso em: 03 nov. 2024.
APA
Skinner, J., Kotliarov, Y., Varma, S., Mine, K. L., Iambartsev, A., Simon, R., et al. (2011). Construct and compare gene coexpression networks with DAPfinder and DAPview. BMC Bioinformatics, 12( 1), 286. doi:10.1186/1471-2105-12-286
NLM
Skinner J, Kotliarov Y, Varma S, Mine KL, Iambartsev A, Simon R, Huyen Y, Morgun A. Construct and compare gene coexpression networks with DAPfinder and DAPview [Internet]. BMC Bioinformatics. 2011 ; 12( 1): 286.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-12-286
Vancouver
Skinner J, Kotliarov Y, Varma S, Mine KL, Iambartsev A, Simon R, Huyen Y, Morgun A. Construct and compare gene coexpression networks with DAPfinder and DAPview [Internet]. BMC Bioinformatics. 2011 ; 12( 1): 286.[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-12-286
Artigo de periodico
Integration and visualization of systems biology data in context of the genome (2010)
Bare, J. Christopher; Koide, Tie; Reiss, David J; Tenenbaum, Dan; Baliga, Nitin S.
Source: BMC Bioinformatics. Unidade: FMRP
Subjects: BIOINFORMÁTICA, GENOMAS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BARE, J. Christopher et al. Integration and visualization of systems biology data in context of the genome. BMC Bioinformatics, v. 11, 2010Tradução . . Disponível em: https://doi.org/10.1186/1471-2105-11-382. Acesso em: 03 nov. 2024.
APA
Bare, J. C., Koide, T., Reiss, D. J., Tenenbaum, D., & Baliga, N. S. (2010). Integration and visualization of systems biology data in context of the genome. BMC Bioinformatics, 11. doi:10.1186/1471-2105-11-382
NLM
Bare JC, Koide T, Reiss DJ, Tenenbaum D, Baliga NS. Integration and visualization of systems biology data in context of the genome [Internet]. BMC Bioinformatics. 2010 ; 11[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-11-382
Vancouver
Bare JC, Koide T, Reiss DJ, Tenenbaum D, Baliga NS. Integration and visualization of systems biology data in context of the genome [Internet]. BMC Bioinformatics. 2010 ; 11[citado 2024 nov. 03 ] Available from: https://doi.org/10.1186/1471-2105-11-382

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