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  • Source: Plant circular RNAs : methods and protocols. Unidade: IME

    Assunto: BIOINFORMÁTICA

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      OLIVEIRA, Liliane Santana et al. Computational analysis of transposable elements and circRNAs in plants. Plant circular RNAs : methods and protocols. Tradução . New York: Humana, 2021. . Disponível em: https://doi.org/10.1007/978-1-0716-1645-1_9. Acesso em: 19 out. 2024.
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      Oliveira, L. S., Patera, A. C., Domingues, D. S., Sanches, D. S., Lopes, F. M., Bugatti, P. H., et al. (2021). Computational analysis of transposable elements and circRNAs in plants. In Plant circular RNAs : methods and protocols. New York: Humana. doi:10.1007/978-1-0716-1645-1_9
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      Oliveira LS, Patera AC, Domingues DS, Sanches DS, Lopes FM, Bugatti PH, Saito PTM, Maracaja-Coutinho V, Durham AM, Paschoal AR. Computational analysis of transposable elements and circRNAs in plants [Internet]. In: Plant circular RNAs : methods and protocols. New York: Humana; 2021. [citado 2024 out. 19 ] Available from: https://doi.org/10.1007/978-1-0716-1645-1_9
    • Vancouver

      Oliveira LS, Patera AC, Domingues DS, Sanches DS, Lopes FM, Bugatti PH, Saito PTM, Maracaja-Coutinho V, Durham AM, Paschoal AR. Computational analysis of transposable elements and circRNAs in plants [Internet]. In: Plant circular RNAs : methods and protocols. New York: Humana; 2021. [citado 2024 out. 19 ] Available from: https://doi.org/10.1007/978-1-0716-1645-1_9
  • Source: Briefings in Bioinformatics. Unidade: IME

    Subjects: BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO

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      NACHTIGALL, Pedro Gabriel e KASHIWABARA, André Yoshiaki e DURHAM, Alan Mitchell. CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts. Briefings in Bioinformatics, v. 22, n. 3, p. 1-11, 2021Tradução . . Disponível em: https://doi.org/10.1093/bib/bbaa045. Acesso em: 19 out. 2024.
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      Nachtigall, P. G., Kashiwabara, A. Y., & Durham, A. M. (2021). CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts. Briefings in Bioinformatics, 22( 3), 1-11. doi:10.1093/bib/bbaa045
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      Nachtigall PG, Kashiwabara AY, Durham AM. CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts [Internet]. Briefings in Bioinformatics. 2021 ; 22( 3): 1-11.[citado 2024 out. 19 ] Available from: https://doi.org/10.1093/bib/bbaa045
    • Vancouver

      Nachtigall PG, Kashiwabara AY, Durham AM. CodAn: predictive models for precise identification of coding regions in eukaryotic transcripts [Internet]. Briefings in Bioinformatics. 2021 ; 22( 3): 1-11.[citado 2024 out. 19 ] Available from: https://doi.org/10.1093/bib/bbaa045
  • Source: Briefings in Bioinformatics. Unidades: IQ, IME, BIOINFORMÁTICA

    Subjects: TRANSCRIÇÃO GÊNICA, BIOINFORMÁTICA

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      OLIVEIRA, Mauro de Medeiros et al. TSSFinder—fast and accurate ab initio prediction of the core promoter in eukaryotic genomes. Briefings in Bioinformatics, v. 22, n. 6, p. 1-12, 2021Tradução . . Disponível em: https://doi.org/10.1093/bib/bbab198. Acesso em: 19 out. 2024.
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      Oliveira, M. de M., Bonadio, Í., Melo, A. L. de, Souza, G. M., & Durham, A. M. (2021). TSSFinder—fast and accurate ab initio prediction of the core promoter in eukaryotic genomes. Briefings in Bioinformatics, 22( 6), 1-12. doi:10.1093/bib/bbab198
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      Oliveira M de M, Bonadio Í, Melo AL de, Souza GM, Durham AM. TSSFinder—fast and accurate ab initio prediction of the core promoter in eukaryotic genomes [Internet]. Briefings in Bioinformatics. 2021 ; 22( 6): 1-12.[citado 2024 out. 19 ] Available from: https://doi.org/10.1093/bib/bbab198
    • Vancouver

      Oliveira M de M, Bonadio Í, Melo AL de, Souza GM, Durham AM. TSSFinder—fast and accurate ab initio prediction of the core promoter in eukaryotic genomes [Internet]. Briefings in Bioinformatics. 2021 ; 22( 6): 1-12.[citado 2024 out. 19 ] Available from: https://doi.org/10.1093/bib/bbab198
  • Source: Computational biology of non-coding RNA : methods and protocols. Unidade: IME

    Subjects: BIOINFORMÁTICA, BANCO DE DADOS, RNA

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      MARACAJA-COUTINHO, Vinicius et al. Noncoding RNAs databases: current status and trends. Computational biology of non-coding RNA : methods and protocols. Tradução . New York: Springer, 2019. . Disponível em: https://doi.org/10.1007/978-1-4939-8982-9_10. Acesso em: 19 out. 2024.
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      Maracaja-Coutinho, V., Paschoal, A. R., Caris-Maldonado, J. C., Borges, P. V., Ferreira, A. J., & Durham, A. M. (2019). Noncoding RNAs databases: current status and trends. In Computational biology of non-coding RNA : methods and protocols. New York: Springer. doi:10.1007/978-1-4939-8982-9_10
    • NLM

      Maracaja-Coutinho V, Paschoal AR, Caris-Maldonado JC, Borges PV, Ferreira AJ, Durham AM. Noncoding RNAs databases: current status and trends [Internet]. In: Computational biology of non-coding RNA : methods and protocols. New York: Springer; 2019. [citado 2024 out. 19 ] Available from: https://doi.org/10.1007/978-1-4939-8982-9_10
    • Vancouver

      Maracaja-Coutinho V, Paschoal AR, Caris-Maldonado JC, Borges PV, Ferreira AJ, Durham AM. Noncoding RNAs databases: current status and trends [Internet]. In: Computational biology of non-coding RNA : methods and protocols. New York: Springer; 2019. [citado 2024 out. 19 ] Available from: https://doi.org/10.1007/978-1-4939-8982-9_10
  • Source: Frontiers in Microbiology. Unidades: ICB, IME, IB

    Subjects: BIOINFORMÁTICA, PROCESSOS DE MARKOV

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      ALVES, João Marcelo Pereira et al. GenSeed-HMM: a tool for progressive assembly using profile HMMs as seeds and its application in Alpavirinae viral discovery from metagenomic data. Frontiers in Microbiology, v. 7, n. article º 269, p. 15 , 2016Tradução . . Disponível em: https://doi.org/10.3389/fmicb.2016.00269. Acesso em: 19 out. 2024.
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      Alves, J. M. P., Oliveira, A. L. de, Sandberg, T. O. M., Moreno-Gallego, J. L., Toledo, M. A. F. de, Moura, E. M. M. de, et al. (2016). GenSeed-HMM: a tool for progressive assembly using profile HMMs as seeds and its application in Alpavirinae viral discovery from metagenomic data. Frontiers in Microbiology, 7( article º 269), 15 . doi:10.3389/fmicb.2016.00269
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      Alves JMP, Oliveira AL de, Sandberg TOM, Moreno-Gallego JL, Toledo MAF de, Moura EMM de, Oliveira LS, Durham AM, Mehnert DU, Zanotto PM de A, Reyes A, Gruber A. GenSeed-HMM: a tool for progressive assembly using profile HMMs as seeds and its application in Alpavirinae viral discovery from metagenomic data [Internet]. Frontiers in Microbiology. 2016 ; 7( article º 269): 15 .[citado 2024 out. 19 ] Available from: https://doi.org/10.3389/fmicb.2016.00269
    • Vancouver

      Alves JMP, Oliveira AL de, Sandberg TOM, Moreno-Gallego JL, Toledo MAF de, Moura EMM de, Oliveira LS, Durham AM, Mehnert DU, Zanotto PM de A, Reyes A, Gruber A. GenSeed-HMM: a tool for progressive assembly using profile HMMs as seeds and its application in Alpavirinae viral discovery from metagenomic data [Internet]. Frontiers in Microbiology. 2016 ; 7( article º 269): 15 .[citado 2024 out. 19 ] Available from: https://doi.org/10.3389/fmicb.2016.00269
  • Source: Next generation sequencing in cancer research, volume 2. Unidade: IME

    Subjects: COMPUTAÇÃO APLICADA, BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO, NEOPLASIAS CUTÂNEAS

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      SEVERINO, Patricia e OLIVEIRA, Liliane Santana e DURHAM, Alan Mitchell. Small RNA sequencing for squamous cell carcinoma research. Next generation sequencing in cancer research, volume 2. Tradução . Cham: Springer, 2015. . Disponível em: https://doi.org/10.1007/978-3-319-15811-2_16. Acesso em: 19 out. 2024.
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      Severino, P., Oliveira, L. S., & Durham, A. M. (2015). Small RNA sequencing for squamous cell carcinoma research. In Next generation sequencing in cancer research, volume 2. Cham: Springer. doi:10.1007/978-3-319-15811-2_16
    • NLM

      Severino P, Oliveira LS, Durham AM. Small RNA sequencing for squamous cell carcinoma research [Internet]. In: Next generation sequencing in cancer research, volume 2. Cham: Springer; 2015. [citado 2024 out. 19 ] Available from: https://doi.org/10.1007/978-3-319-15811-2_16
    • Vancouver

      Severino P, Oliveira LS, Durham AM. Small RNA sequencing for squamous cell carcinoma research [Internet]. In: Next generation sequencing in cancer research, volume 2. Cham: Springer; 2015. [citado 2024 out. 19 ] Available from: https://doi.org/10.1007/978-3-319-15811-2_16
  • Source: BMC Medical Genomics. Unidades: IME, FSP

    Subjects: COMPUTAÇÃO APLICADA, BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO, NEOPLASIAS CUTÂNEAS

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      SEVERINO, Patrícia et al. Small RNAs in metastatic and non-metastatic oral squamous cell carcinoma. BMC Medical Genomics, v. 8, 2015Tradução . . Disponível em: https://doi.org/10.1186/s12920-015-0102-4. Acesso em: 19 out. 2024.
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      Severino, P., Oliveira, L. S., Andreghetto, F. M., Torres, N., Curioni, O., Cury, P. M., et al. (2015). Small RNAs in metastatic and non-metastatic oral squamous cell carcinoma. BMC Medical Genomics, 8. doi:10.1186/s12920-015-0102-4
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      Severino P, Oliveira LS, Andreghetto FM, Torres N, Curioni O, Cury PM, Toporcov TN, Paschoal AR, Durham AM. Small RNAs in metastatic and non-metastatic oral squamous cell carcinoma [Internet]. BMC Medical Genomics. 2015 ; 8[citado 2024 out. 19 ] Available from: https://doi.org/10.1186/s12920-015-0102-4
    • Vancouver

      Severino P, Oliveira LS, Andreghetto FM, Torres N, Curioni O, Cury PM, Toporcov TN, Paschoal AR, Durham AM. Small RNAs in metastatic and non-metastatic oral squamous cell carcinoma [Internet]. BMC Medical Genomics. 2015 ; 8[citado 2024 out. 19 ] Available from: https://doi.org/10.1186/s12920-015-0102-4
  • Source: Práticas da interdisciplinaridade no ensino e pesquisa. Unidades: IME, IQ

    Subjects: BIOINFORMÁTICA, INTERDISCIPLINARIDADE

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      DURHAM, Alan Mitchell e SETUBAL, João Carlos e BARRERA, Júnior. Interdisciplinaridade em ação na pesquisa e pós-graduação em Bioinformática. Práticas da interdisciplinaridade no ensino e pesquisa. Tradução . Barueri: Manole, 2015. . . Acesso em: 19 out. 2024.
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      Durham, A. M., Setubal, J. C., & Barrera, J. (2015). Interdisciplinaridade em ação na pesquisa e pós-graduação em Bioinformática. In Práticas da interdisciplinaridade no ensino e pesquisa. Barueri: Manole.
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      Durham AM, Setubal JC, Barrera J. Interdisciplinaridade em ação na pesquisa e pós-graduação em Bioinformática. In: Práticas da interdisciplinaridade no ensino e pesquisa. Barueri: Manole; 2015. [citado 2024 out. 19 ]
    • Vancouver

      Durham AM, Setubal JC, Barrera J. Interdisciplinaridade em ação na pesquisa e pós-graduação em Bioinformática. In: Práticas da interdisciplinaridade no ensino e pesquisa. Barueri: Manole; 2015. [citado 2024 out. 19 ]
  • Source: Clinical bioinformatics. Unidade: IME

    Subjects: BIOINFORMÁTICA, SEQUENCIAMENTO GENÉTICO, NEOPLASIAS

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      PASSETTI, Fabio e JORGE, Natasha Andressa Nogueira e DURHAM, Alan Mitchell. Using bioinformatics tools to study the role of microRNA in cancer. Clinical bioinformatics. Tradução . New York: Humana Press, 2014. . Disponível em: https://doi.org/10.1007/978-1-4939-0847-9_7. Acesso em: 19 out. 2024.
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      Passetti, F., Jorge, N. A. N., & Durham, A. M. (2014). Using bioinformatics tools to study the role of microRNA in cancer. In Clinical bioinformatics. New York: Humana Press. doi:10.1007/978-1-4939-0847-9_7
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      Passetti F, Jorge NAN, Durham AM. Using bioinformatics tools to study the role of microRNA in cancer [Internet]. In: Clinical bioinformatics. New York: Humana Press; 2014. [citado 2024 out. 19 ] Available from: https://doi.org/10.1007/978-1-4939-0847-9_7
    • Vancouver

      Passetti F, Jorge NAN, Durham AM. Using bioinformatics tools to study the role of microRNA in cancer [Internet]. In: Clinical bioinformatics. New York: Humana Press; 2014. [citado 2024 out. 19 ] Available from: https://doi.org/10.1007/978-1-4939-0847-9_7
  • Source: RNA Biology. Unidades: IQ, FFCLRP, IME

    Subjects: BIOINFORMÁTICA, RNA

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      PASCHOAL, Alexandre Rossi et al. Non-coding transcription characterization and annotation. RNA Biology, v. 9, n. 3, p. 274-282 : + Supplementary materials ( S1-S92), 2012Tradução . . Disponível em: https://doi.org/10.4161/rna.19352. Acesso em: 19 out. 2024.
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      Paschoal, A. R., Maracajá-Coutinho, V. R. H., Setubal, J. C., Simões, Z. L. P., Verjovski-Almeida, S., & Durham, A. M. (2012). Non-coding transcription characterization and annotation. RNA Biology, 9( 3), 274-282 : + Supplementary materials ( S1-S92). doi:10.4161/rna.19352
    • NLM

      Paschoal AR, Maracajá-Coutinho VRH, Setubal JC, Simões ZLP, Verjovski-Almeida S, Durham AM. Non-coding transcription characterization and annotation [Internet]. RNA Biology. 2012 ; 9( 3): 274-282 : + Supplementary materials ( S1-S92).[citado 2024 out. 19 ] Available from: https://doi.org/10.4161/rna.19352
    • Vancouver

      Paschoal AR, Maracajá-Coutinho VRH, Setubal JC, Simões ZLP, Verjovski-Almeida S, Durham AM. Non-coding transcription characterization and annotation [Internet]. RNA Biology. 2012 ; 9( 3): 274-282 : + Supplementary materials ( S1-S92).[citado 2024 out. 19 ] Available from: https://doi.org/10.4161/rna.19352
  • Source: BMC Genomics. Conference titles: International Conference of the Brazilian Association for Bioinformatics and Computational Biology. Unidades: EACH, IME

    Assunto: BIOINFORMÁTICA

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      LIMA, Ariane Machado e KASHIWABARA, André Yoshiaki e DURHAM, Alan Mitchell. Decreasing the number of false positives in sequence classification. BMC Genomics. London: Escola de Artes, Ciências e Humanidades, Universidade de São Paulo. Disponível em: https://doi.org/10.1186/1471-2164-11-S5-S10. Acesso em: 19 out. 2024. , 2010
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      Lima, A. M., Kashiwabara, A. Y., & Durham, A. M. (2010). Decreasing the number of false positives in sequence classification. BMC Genomics. London: Escola de Artes, Ciências e Humanidades, Universidade de São Paulo. doi:10.1186/1471-2164-11-S5-S10
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      Lima AM, Kashiwabara AY, Durham AM. Decreasing the number of false positives in sequence classification [Internet]. BMC Genomics. 2010 ; 11[citado 2024 out. 19 ] Available from: https://doi.org/10.1186/1471-2164-11-S5-S10
    • Vancouver

      Lima AM, Kashiwabara AY, Durham AM. Decreasing the number of false positives in sequence classification [Internet]. BMC Genomics. 2010 ; 11[citado 2024 out. 19 ] Available from: https://doi.org/10.1186/1471-2164-11-S5-S10
  • Source: Journal of Medical Virology. Unidades: EACH, IME

    Subjects: HEPATITE C, BIOINFORMÁTICA

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      ARAUJO, Flavio Marcos Gomes et al. Sequence and structural analysis of the 5' noncording region of hepatitis C virus in patients with chronic infection. Journal of Medical Virology, v. 81, n. 7, p. 1212-1219, 2009Tradução . . Disponível em: https://doi.org/10.1002/jmv.21507. Acesso em: 19 out. 2024.
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      Araujo, F. M. G., Lima, A. M., Durham, A. M., Teixeira, R., & Oliveira, G. (2009). Sequence and structural analysis of the 5' noncording region of hepatitis C virus in patients with chronic infection. Journal of Medical Virology, 81( 7), 1212-1219. doi:10.1002/jmv.21507
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      Araujo FMG, Lima AM, Durham AM, Teixeira R, Oliveira G. Sequence and structural analysis of the 5' noncording region of hepatitis C virus in patients with chronic infection [Internet]. Journal of Medical Virology. 2009 ; 81( 7): 1212-1219.[citado 2024 out. 19 ] Available from: https://doi.org/10.1002/jmv.21507
    • Vancouver

      Araujo FMG, Lima AM, Durham AM, Teixeira R, Oliveira G. Sequence and structural analysis of the 5' noncording region of hepatitis C virus in patients with chronic infection [Internet]. Journal of Medical Virology. 2009 ; 81( 7): 1212-1219.[citado 2024 out. 19 ] Available from: https://doi.org/10.1002/jmv.21507
  • Source: Bioinformatics in tropical disease research: a practical and case-study approach. Unidades: ICB, IME

    Assunto: BIOINFORMÁTICA

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      GRUBER, Arthur e DURHAM, Alan Mitchell e HUYNH, Chuong. This book is the result of a long process that began with a series of Latin American Bioinformatics Training Courses for Tropical Disease Research. [Prefácio]. Bioinformatics in tropical disease research: a practical and case-study approach. Bethesda: National Center for Biotechnology Information. Disponível em: https://www.ncbi.nlm.nih.gov/books/NBK6826/pdf/Bookshelf_NBK6826.pdf. Acesso em: 19 out. 2024. , 2008
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      Gruber, A., Durham, A. M., & Huynh, C. (2008). This book is the result of a long process that began with a series of Latin American Bioinformatics Training Courses for Tropical Disease Research. [Prefácio]. Bioinformatics in tropical disease research: a practical and case-study approach. Bethesda: National Center for Biotechnology Information. Recuperado de https://www.ncbi.nlm.nih.gov/books/NBK6826/pdf/Bookshelf_NBK6826.pdf
    • NLM

      Gruber A, Durham AM, Huynh C. This book is the result of a long process that began with a series of Latin American Bioinformatics Training Courses for Tropical Disease Research. [Prefácio] [Internet]. Bioinformatics in tropical disease research: a practical and case-study approach. 2008 ;[citado 2024 out. 19 ] Available from: https://www.ncbi.nlm.nih.gov/books/NBK6826/pdf/Bookshelf_NBK6826.pdf
    • Vancouver

      Gruber A, Durham AM, Huynh C. This book is the result of a long process that began with a series of Latin American Bioinformatics Training Courses for Tropical Disease Research. [Prefácio] [Internet]. Bioinformatics in tropical disease research: a practical and case-study approach. 2008 ;[citado 2024 out. 19 ] Available from: https://www.ncbi.nlm.nih.gov/books/NBK6826/pdf/Bookshelf_NBK6826.pdf
  • Unidades: ICB, IME

    Subjects: BIOINFORMÁTICA, BANCO DE DADOS

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      GRUBER, Arthur et al. Bioinformatics in tropical disease research: a practical and case-study approach. . Bethesda: National Center for Biotechnology Information. Disponível em: https://www.ncbi.nlm.nih.gov/books/NBK6818/pdf/Bookshelf_NBK6818.pdf. Acesso em: 19 out. 2024. , 2008
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      Gruber, A., Durham, A. M., Huynh, C., & Portillo, H. A. del. (2008). Bioinformatics in tropical disease research: a practical and case-study approach. Bethesda: National Center for Biotechnology Information. Recuperado de https://www.ncbi.nlm.nih.gov/books/NBK6818/pdf/Bookshelf_NBK6818.pdf
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      Gruber A, Durham AM, Huynh C, Portillo HA del. Bioinformatics in tropical disease research: a practical and case-study approach [Internet]. 2008 ;[citado 2024 out. 19 ] Available from: https://www.ncbi.nlm.nih.gov/books/NBK6818/pdf/Bookshelf_NBK6818.pdf
    • Vancouver

      Gruber A, Durham AM, Huynh C, Portillo HA del. Bioinformatics in tropical disease research: a practical and case-study approach [Internet]. 2008 ;[citado 2024 out. 19 ] Available from: https://www.ncbi.nlm.nih.gov/books/NBK6818/pdf/Bookshelf_NBK6818.pdf
  • Source: Brazilian Journal of Medical and Biological Research. Unidades: IME, IQ, BIOINFORMÁTICA

    Subjects: BIOINFORMÁTICA, BIOQUÍMICA, GENOMAS

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      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: 19 out. 2024.
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      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
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      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 out. 19 ] 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 out. 19 ] Available from: https://doi.org/10.1590/S0100-879X2005001100002
  • Source: Bioinformatics. Unidades: IME, FMVZ

    Subjects: COMPUTAÇÃO APLICADA, BIOINFORMÁTICA

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      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: 19 out. 2024.
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      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
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      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 2024 out. 19 ] 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 2024 out. 19 ] Available from: https://doi.org/10.1093/bioinformatics/bti424

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