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1. |  | URCHEI, M. A.; CORRALES, F. M.; CANUTO, J. C.; QUEIROGA, J. L. de; MALAGODI-BRAGA, K. S.; CAMARGO, R. C. R. de; RAMOS, M. S. T. A. S.; RAMOS FILHO, L. O. A experiência da Rede de Agroecologia do Leste Paulista (SP) - Brasil. In: CONGRESO LATINOAMERICANO DE AGROECOLOGÍA, 5., 2015, La Plata. La agroecología: un nuevo paradigma para redefinir la investigación, la educación y la extensión para una Agricultura Sustentable:memórias. La Plata: Sociedad Científica Latinoamericana de Agroecología, 2015. 5 p. Biblioteca(s): Embrapa Meio Ambiente. |
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6. |  | SOUZA, V. C.; SILVA, A. P. da; MALAGODI-BRAGA, K. S.; CAMARGO, R. C. R. de; CANUTO, J. C.; QUEIROGA, J. L. de; MORICONI, W. Agroforestry systems: source of floral resources for wild bees (Hymenoptera: Apoidea). In: ENCONTRO SOBRE ABELHAS, 11., 2015, Ribeirão Preto. Anais... Ribeirão Preto: FAPESP; USP, 2015. 238 Biblioteca(s): Embrapa Meio Ambiente. |
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7. |  | PEREIRA, F. de M.; LOPES, M. T. do R.; CAMARGO, R. C. R. de; SOUZA, B. de A.; VIEIRA NETO, J. M.; LOPES NETO, L. S. M. Alimentação alternativa para abelhas sem ferrão. In: XIMENES, L. J. F.; COSTA, L. S. de A.; NASCIMENTO, J. L. S. do (Org.). Manejo racional de abelhas africanizadas e de meliponídeos no nordeste do Brasil. Fortaleza: BNB, 2011. Cap. 8. p. 171-186 (Série BNB. Ciência e Tecnologia, 6). Biblioteca(s): Embrapa Meio-Norte. |
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8. |  | PEREIRA, F. de M.; LOPES, M. T. do R.; CAMARGO, R. C. R. de; VIEIRA NETO, J. M.; SOUZA, B. de A.; ROCHA, R. S.; SILVA NETO, E. da. Alternativas de alimentação para abelhas Apis mellifera. In: XIMENES, L. J. F.; COSTA, L. S. de A.; NASCIMENTO, J. L. S. do (Org.). Manejo racional de abelhas africanizadas e de meliponídeos no nordeste do Brasil. Fortaleza: BNB, 2011. Cap. 7. p. 147-169 (Série BNB. Ciência e Tecnologia, 6). Biblioteca(s): Embrapa Meio-Norte. |
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9. |  | LOPES, M. T. do R.; BARBOSA, A. de L.; VIEIRA NETO, J. M.; PEREIRA, F. de M.; CAMARGO, R. C. R. de; RIBEIRO, V. Q.; SOUZA, B. de A. Alternativas de sombreamento para apiários. Pesquisa Agropecuária Tropical, Goiânia, v. 41, n. 3, p. 299-305, jul./set. 2011. Biblioteca(s): Embrapa Meio-Norte. |
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11. |  | CAMARGO, R. C. R.; MELO, A. F. de; PEREIRA, L. A.; NEVES, M. de S.; PEREIRA, F. de M.; LOPES, M. T. do R. Análise melissopalinológica de amostras de mel de Apis mellifera oriundas da região norte do Estado do Piauí. In: ENCONTRO SOBRE ABELHAS, 8., 2008, Ribeirão Preto. Biodiversidade e uso sustentado de abelhas: anais. Ribeirão Preto: FUNPEC, 2008. p. 720 Biblioteca(s): Embrapa Meio-Norte. |
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13. |  | SANTOS, F. de A. R. dos; OLIVEIRA, A. V. de; LIMA, L. C. L. e; BARROS, R. F. M. de; SCHLINDWEIN, C. P.; MARTINS, C. F.; CAMARGO, R. C. R. de; FREITAS, B. M.; KIILL, L. H. P. Apícolas. In: SAMPAIO, E. V. S. B.; PAREYN, F. G. C.; FIGUEIRÔA, J. M. de; SANTOS JÚNIOR, A. G. (Ed.). Espécies da flora nordestina de importância econômica potencial. Recife: Associação Plantas do Nordeste, 2005. p. 15-26. Biblioteca(s): Embrapa Semiárido. |
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18. |  | SILVA, J. O.; LOPES, M. T. do R.; PEREIRA, F. de M.; REIS, A. S. dos; VIEIRA NETO, J. M.; CAMARGO, R. C. R. de; RIBEIRO, V. Q.; ALVES, J. F. Atividade de coleta de pólen e néctar de colônias de abelhas jandaíra Melipona subnitida (Ducke, 1910) instaladas em dois modelos de colméias. In: ENCONTRO NORDESTINO DE BIOLOGOS, 4.; ENCONTRO DE COORDENADORES DE CURSOS DE CIÊNCIAS BIOLÓGICAS DO NORDESTE, 3., 2007. Teresina. O biólogo e a qualidade de vida: anais. Teresina: CRBio 5, 2007. p. 58 Biblioteca(s): Embrapa Meio-Norte. |
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19. |  | PEREIRA, F. de M.; ARAÚJO, R. S. de; CAMARGO, R. C. R. de; LOPES, M. T. do R.; RIBEIRO, V. Q.; ROCHA, R. S.; ROCHA, A. M. P. L. da; SILVA, R. V. da. Atividade de vôo de abelhas da tribo Trigonini em Teresina, PI. Teresina: Embrapa Meio-Norte, 2007. 18 p. (Embrapa Meio-Norte. Boletim de Pesquisa e Desenvolvimento, 73). Biblioteca(s): Embrapa Meio Norte / UEP-Parnaíba; Embrapa Meio-Norte; Embrapa Semiárido; Embrapa Unidades Centrais. |
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Registros recuperados : 129 | |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
07/12/2007 |
Data da última atualização: |
11/05/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
Internacional - A |
Autoria: |
OLIVEIRA, S. R. de M.; ALMEIDA, G. V.; SOUZA, K. R. R.; RODRIGUES, D. N.; KUSER-FALCÃO, P. R.; YAMAGISHI, M. E. B.; SANTOS, E. H. dos; VIEIRA, F. D.; JARDINE, J. G.; NESHICH, G. |
Afiliação: |
STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; PAULA REGINA KUSER FALCAO, CNPTIA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; EDGARD HENRIQUE DOS SANTOS, CNPTIA; FABIO DANILO VIEIRA, CNPTIA; JOSE GILBERTO JARDINE, CNPTIA; GORAN NESHICH, CNPTIA. |
Título: |
Sting_RDB: a relational database of structural parameters for protein analysis with support for data warehousing and data mining. |
Ano de publicação: |
2007 |
Fonte/Imprenta: |
Genetics and Molecular Research, v. 6, n. 4, p. 911-922, 2007. |
Idioma: |
Inglês |
Conteúdo: |
Abstract. An effective strategy for managing protein databases is to provide mechanisms to transform raw data into consistent, accurate and reliable information. Such mechanisms will greatly reduce operational inefficiencies and improve one's ability to better handle scientific objectives and interpret the research results. To achieve this challenging goal for the STING project, we introduce Sting_RDB, a relational database of structural parameters for protein analysis with support for data warehousing and data mining. In this article, we highlight the main features of Sting_RDB and show how a user can explore it for efficient and biologically relevant queries. Considering its importance for molecular biologists, effort has been made to advance Sting_RDB toward data quality assessment. To the best of our knowledge, Sting_RDB is one of the most comprehensive data repositories for protein analysis, now also capable of providing its users with a data quality indicator. This paper differs from our previous study in many aspects. First, we introduce Sting_RDB, a relational database with mechanisms for efficient and relevant queries using SQL. Sting_rdb evolved from the earlier, text (flat file)-based database, in which data consistency and integrity was not guaranteed. Second, we provide support for data warehousing and mining. Third, the data quality indicator was introduced. Finally and probably most importantly, complex queries that could not be posed on a text-based database, are now easily implemented. MenosAbstract. An effective strategy for managing protein databases is to provide mechanisms to transform raw data into consistent, accurate and reliable information. Such mechanisms will greatly reduce operational inefficiencies and improve one's ability to better handle scientific objectives and interpret the research results. To achieve this challenging goal for the STING project, we introduce Sting_RDB, a relational database of structural parameters for protein analysis with support for data warehousing and data mining. In this article, we highlight the main features of Sting_RDB and show how a user can explore it for efficient and biologically relevant queries. Considering its importance for molecular biologists, effort has been made to advance Sting_RDB toward data quality assessment. To the best of our knowledge, Sting_RDB is one of the most comprehensive data repositories for protein analysis, now also capable of providing its users with a data quality indicator. This paper differs from our previous study in many aspects. First, we introduce Sting_RDB, a relational database with mechanisms for efficient and relevant queries using SQL. Sting_rdb evolved from the earlier, text (flat file)-based database, in which data consistency and integrity was not guaranteed. Second, we provide support for data warehousing and mining. Third, the data quality indicator was introduced. Finally and probably most importantly, complex queries that could not be posed on a text-based database,... Mostrar Tudo |
Palavras-Chave: |
Análise de estrutura de proteínas; Base de dados Sting; Bioinformática; Data mining; Data warehousing; Mineração de dados. |
Thesagro: |
Proteína. |
Thesaurus NAL: |
Bioinformatics; Databases; Proteins. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://www.alice.cnptia.embrapa.br/alice/bitstream/doc/814/1/APStingGMR2007.pdf
|
Marc: |
LEADER 02591naa a2200349 a 4500 001 1000814 005 2017-05-11 008 2007 bl uuuu u00u1 u #d 100 1 $aOLIVEIRA, S. R. de M. 245 $aSting_RDB$ba relational database of structural parameters for protein analysis with support for data warehousing and data mining.$h[electronic resource] 260 $c2007 520 $aAbstract. An effective strategy for managing protein databases is to provide mechanisms to transform raw data into consistent, accurate and reliable information. Such mechanisms will greatly reduce operational inefficiencies and improve one's ability to better handle scientific objectives and interpret the research results. To achieve this challenging goal for the STING project, we introduce Sting_RDB, a relational database of structural parameters for protein analysis with support for data warehousing and data mining. In this article, we highlight the main features of Sting_RDB and show how a user can explore it for efficient and biologically relevant queries. Considering its importance for molecular biologists, effort has been made to advance Sting_RDB toward data quality assessment. To the best of our knowledge, Sting_RDB is one of the most comprehensive data repositories for protein analysis, now also capable of providing its users with a data quality indicator. This paper differs from our previous study in many aspects. First, we introduce Sting_RDB, a relational database with mechanisms for efficient and relevant queries using SQL. Sting_rdb evolved from the earlier, text (flat file)-based database, in which data consistency and integrity was not guaranteed. Second, we provide support for data warehousing and mining. Third, the data quality indicator was introduced. Finally and probably most importantly, complex queries that could not be posed on a text-based database, are now easily implemented. 650 $aBioinformatics 650 $aDatabases 650 $aProteins 650 $aProteína 653 $aAnálise de estrutura de proteínas 653 $aBase de dados Sting 653 $aBioinformática 653 $aData mining 653 $aData warehousing 653 $aMineração de dados 700 1 $aALMEIDA, G. V. 700 1 $aSOUZA, K. R. R. 700 1 $aRODRIGUES, D. N. 700 1 $aKUSER-FALCÃO, P. R. 700 1 $aYAMAGISHI, M. E. B. 700 1 $aSANTOS, E. H. dos 700 1 $aVIEIRA, F. D. 700 1 $aJARDINE, J. G. 700 1 $aNESHICH, G. 773 $tGenetics and Molecular Research$gv. 6, n. 4, p. 911-922, 2007.
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