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| Registros recuperados : 126 | |
| 23. |  | CARDOSO, F. F.; GIACHETTO, P. F.; YAMAGISHI, M. E. B.; HIGA, R. H. Statistical tools to uncover genetic architecture of tick resistance using highdensity oligonucleotide gene expression microarrays. In: SÃO PAULO ADVANCED SCHOOL OF SCIENCE, 1., 2011, São Carlos, SP. Advances in the knowledge of parasite resistance of ruminant hosts and parasites: proceedings. São São Carlos, SP: Embrapa Pecuária Sudeste, 2011. p. 34-38.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Pecuária Sul. |
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| 32. | | CASTRO, A. de; FRONZA, C. F.; GIACHETTO, P. F.; ALVES, D. Influence of antigenic mutations in time evolution of the immune memory - a dynamic modeling. Lecture Notes in Computer Science, v. 5676, p. 133-142. Proceedings of the 4th Brazilian Symposium on Bioinformatics, 2009, held in Porto Alegre, Brazil, in July 2009.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 33. | | NAGAI, L. A. E.; GIACHETTO, P. F.; CARDOSO, F. F.; ZERLOTINI, A.; KUSER-FALCÃO, P. R. Preliminary analysis of differentially expressed genes involved in meat tenderness in Angus and Nelore beef cattle. In: INTERNATIONAL SOCIETY FOR COMPUTATIONAL BIOLOGY LATIN AMERICA X-MEETING ON BIOINFORMATICS, 3., THE BRAZILIAN SYMPOSIUM ON BIOINFORMATICS; SOIBIO, 2014, Belo Horizonte. Program... [S.l.]: International Society for Computational Biology, 2014. Não paginado. ISCB-Latin America 2014. Pôster O10.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 37. | | SUGETA, S. M.; GIACHETTO, P. F.; MALHEIROS, E. B.; MACARI, M.; FURLAN, R. L. Efeito da restrição alimentar quantitativa sobre o ganho compensatório e composição da carcaça de frangos. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 37, n. 7, p. 903-908, jul. 2002 Título em inglês: Effect of quantitative feed restriction on compensatory gain and carcass composition of broiler.| Biblioteca(s): Embrapa Unidades Centrais. |
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| Registros recuperados : 126 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
28/10/2015 |
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Data da última atualização: |
19/02/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
BAMBINI, M. D.; GIACHETTO, P. F.; FALCAO, P. R. K.; OLIVEIRA, F. S. de. |
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Afiliação: |
MARTHA DELPHINO BAMBINI, CNPTIA; POLIANA FERNANDA GIACHETTO, CNPTIA; PAULA REGINA KUSER FALCAO, CNPTIA; FERNANDA STRINGASSI DE OLIVEIRA, CNPTIA. |
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Título: |
Emerging biotechnologies: bioinformatics services applied to agriculture. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: CONGRESSO LATINO-IBEROAMERICANO DE GESTÃO DA TECNOLOGIA, 16., 2015, Porto Alegre. Inovação para além da tecnologia: anais. Porto Alegre: Universidade Federal do Rio Grande do Sul, 2015. |
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Páginas: |
Não paginado. |
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ISSN: |
2447-3340 |
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Idioma: |
Inglês |
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Notas: |
Altec 2015. |
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Conteúdo: |
Abstract - Bioinformatics is an emergent biotechnological field of study marked by interdisciplinarity and complexity. It involves the application and development of computational tools to biological data in order to process, generate, and disseminate biological knowledge. Bioinformatics is characterized by an intense generation of data and information (configured as a context of big data and e-science), associated with the need for computational resources with high processing and storage capacities and highly qualified and interdisciplinary staff, often found only in academia. The objective of this paper is to describe the organizational model and collaborative innovation activities of the Bioinformatics Multi-user Laboratory (LMB, in the acronym in Portuguese). The LMB is a facility located at the Brazilian Agricultural Research Corporation (Embrapa), the main Brazilian agricultural research public institute, formed by 46 Research and Service Centers distributed throughout Brazil and by several laboratories and business offices abroad, in America, Africa, Asia and Europe. Its mission involves to contribute to the advance of the frontier of knowledge in bioinformatics by: incorporating new technologies and enabling efficient solutions to the demands related to this field; providing access to high performance computing infrastructure and developing human skills. Considering the importance of biotechnology in the context of agricultural research, Embrapa implemented the LMB in 2011, with the purpose of increasing the efficiency of the use of computational, human and technological resources of Embrapa by providing access to bioinformatics computational resources, offering research collaboration possibilities and consultation on project design and biological data analysis. A case-study was conducted based on documentary research and interviews. The main findings of this research are: the description of the organizational model of LMB, the management team and roles; theservices it provides; its access policies and procedures of customer service. MenosAbstract - Bioinformatics is an emergent biotechnological field of study marked by interdisciplinarity and complexity. It involves the application and development of computational tools to biological data in order to process, generate, and disseminate biological knowledge. Bioinformatics is characterized by an intense generation of data and information (configured as a context of big data and e-science), associated with the need for computational resources with high processing and storage capacities and highly qualified and interdisciplinary staff, often found only in academia. The objective of this paper is to describe the organizational model and collaborative innovation activities of the Bioinformatics Multi-user Laboratory (LMB, in the acronym in Portuguese). The LMB is a facility located at the Brazilian Agricultural Research Corporation (Embrapa), the main Brazilian agricultural research public institute, formed by 46 Research and Service Centers distributed throughout Brazil and by several laboratories and business offices abroad, in America, Africa, Asia and Europe. Its mission involves to contribute to the advance of the frontier of knowledge in bioinformatics by: incorporating new technologies and enabling efficient solutions to the demands related to this field; providing access to high performance computing infrastructure and developing human skills. Considering the importance of biotechnology in the context of agricultural research, Embrapa implemented the LMB i... Mostrar Tudo |
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Palavras-Chave: |
Bioinformática; Genômica; Multiuser. |
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Thesagro: |
Agricultura; Pesquisa. |
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Thesaurus NAL: |
Agricultural research; Bioinformatics; Genomics. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/131921/1/altec2015.pdf
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Marc: |
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008 2015 bl uuuu u00u1 u #d
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100 1 $aBAMBINI, M. D.
245 $aEmerging biotechnologies$bbioinformatics services applied to agriculture.$h[electronic resource]
260 $c2015
300 $aNão paginado.
500 $aAltec 2015.
520 $aAbstract - Bioinformatics is an emergent biotechnological field of study marked by interdisciplinarity and complexity. It involves the application and development of computational tools to biological data in order to process, generate, and disseminate biological knowledge. Bioinformatics is characterized by an intense generation of data and information (configured as a context of big data and e-science), associated with the need for computational resources with high processing and storage capacities and highly qualified and interdisciplinary staff, often found only in academia. The objective of this paper is to describe the organizational model and collaborative innovation activities of the Bioinformatics Multi-user Laboratory (LMB, in the acronym in Portuguese). The LMB is a facility located at the Brazilian Agricultural Research Corporation (Embrapa), the main Brazilian agricultural research public institute, formed by 46 Research and Service Centers distributed throughout Brazil and by several laboratories and business offices abroad, in America, Africa, Asia and Europe. Its mission involves to contribute to the advance of the frontier of knowledge in bioinformatics by: incorporating new technologies and enabling efficient solutions to the demands related to this field; providing access to high performance computing infrastructure and developing human skills. Considering the importance of biotechnology in the context of agricultural research, Embrapa implemented the LMB in 2011, with the purpose of increasing the efficiency of the use of computational, human and technological resources of Embrapa by providing access to bioinformatics computational resources, offering research collaboration possibilities and consultation on project design and biological data analysis. A case-study was conducted based on documentary research and interviews. The main findings of this research are: the description of the organizational model of LMB, the management team and roles; theservices it provides; its access policies and procedures of customer service.
650 $aAgricultural research
650 $aBioinformatics
650 $aGenomics
650 $aAgricultura
650 $aPesquisa
653 $aBioinformática
653 $aGenômica
653 $aMultiuser
700 1 $aGIACHETTO, P. F.
700 1 $aFALCAO, P. R. K.
700 1 $aOLIVEIRA, F. S. de
773 $tIn: CONGRESSO LATINO-IBEROAMERICANO DE GESTÃO DA TECNOLOGIA, 16., 2015, Porto Alegre. Inovação para além da tecnologia: anais. Porto Alegre: Universidade Federal do Rio Grande do Sul, 2015.
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Embrapa Agricultura Digital (CNPTIA) |
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