| |
|
|
| Registros recuperados : 51 | |
| 5. |  | SILVA, F. R. da; NODA, R. W.; ZERLOTINI, A.; LOBO, F. P.; CARNEIRO, N. P. Counting RNAseq reads: which way is better? In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 21.; EUROPEAN CONFERENCE ON COMPUTATIONAL BIOLOGY, 12., 2013, Berlin. Posters... Berlin: ISCB, 2013. Não paginado. Pôster N101.| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Milho e Sorgo. |
|    |
| 7. | | GOMES, E. A.; LANA, U. G. de P.; OLIVEIRA-PAIVA, C. A.; NODA, R. W.; ZHANG, B.; TIEDJE, J. Metagenoma das comunidades microbianas presentes na rizosfera e raízes de genótipos de milho contrastantes para eficiência no uso de P. In: CONGRESSO NACIONAL DE MILHO E SORGO, 30.; SIMPÓSIO SOBRE LEPDÓPTEROS COMUNS A MILHO, SOJA E ALGODÃO, 1., 2014, Salvador. Eficiência nas cadeias produtivas e o abastecimento global: resumos expandidos. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2014. 1 CD-ROM.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 8. | | BARROS, B. de A.; VERDOLIN, A. L. M.; MOREIRA, R. O.; NODA, R. W.; CARNEIRO, N. P. Identificação de genes alvo para controle de Helicoverpa armigera em milho via RNA interferente (RNAi). In: CONGRESSO NACIONAL DE MILHO E SORGO, 31., 2016, Bento Gonçalves. Milho e sorgo: inovações, mercados e segurança alimentar: anais. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2016.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 9. | | OLIVEIRA, N. T. de; NODA, R. W.; LANA, U. G. de P.; ZANDONADI, D. B.; SOUSA, S. M. de. Humic substances regulate auxin-related genes and plasma membrane h+-ATPase activity during maize root development. In: SIMPÓSIO LATINO-AMERICANO SOBRE BIOESTIMULANTES NA AGRICULTURA, 2.; REUNIÃO BRASILEIRA SOBRE INDUÇÃO DE RESISTÊNCIA EM PLANTAS E PATÓGENOS, 9., 2018, Florianópolis. Anais. Florianópolis: Universidade Federal de Santa Catarina, 2018. p. 170.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 10. | | FLATSCHAR, A. V. F.; CAMPOS, A. F.; BOTELHO, C.; NODA, R. W.; CARNEIRO, A. A.; CAMPOS, S. Desenvolvimento de workflow para a gestão da informação laboratorial na obtenção de plantas transgênicas. In: CONGRESSO BRASILEIRO DE BIOSSEGURANÇA, 7., 2011, Joinvile. Anais dos eventos... Joinville: Associação Nacional de Biossegurança, 2011. p. 151.| Biblioteca(s): Embrapa Milho e Sorgo. |
|  |
| 13. | | BARROS, B. de A.; CARNEIRO, A. A.; ALVES, P. A.; MOREIRA, R. O.; NODA, R. W.; CARNEIRO, N. P. Validação por qPCR de genes diferencialmente expressos em milho em resposta ao estresse hídrico. In: CONGRESSO NACIONAL DE MILHO E SORGO, 31., 2016, Bento Gonçalves. Milho e sorgo: inovações, mercados e segurança alimentar: anais. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2016.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 14. | | GOMES, E. A.; OLIVEIRA-PAIVA, C. A.; LANA, U. G. P.; NODA, R. W.; MARRIEL, I. E.; SOUZA, F. A. de. Arbuscular mycorrhizal fungal communities in the roots of maize lines contrasting for al tolerance grown in limed and non-limed Brazilian Oxisoil. Journal of Microbiology and Biotechnology, Seoul, v. 25, n. 7, p. 978-987, 2015.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 15. | | LIVIO, D. F.; DINIZ, M. N.; BARROS, B. A.; SOUZA, V. F. de; PASTINA, M. M.; NODA, R. W.; DAMASCENO, C. M. B. Allelic variation in HCT1 gene expression is associated with lignin content in sorghum. In: SIMPÓSIO BRASILEIRO DE GENÉTICA MOLECULAR DE PLANTAS, 6., 2017, Ouro Preto. Resumos... Ribeirão Preto: Sociedade Brasileira de Genética, 2017.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 16. | | SOUZA, I. R. P. de; CARNEIRO, N. P.; GIOLITTI, F.; LENARDON, S. L.; SABATO, E. de O.; GOMES, E. A.; NODA, R. W.; SOUZA, F. A. de. Análise do N-terminal da proteína capsidial de SCMV infectando milho e sorgo no Brasil. Sete Lagoas: Embrapa Milho e Sorgo, 2012. 14 p. (Embrapa Milho e Sorgo. Boletim de Pesquisa e Desenvolvimento, 59).| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 17. | | VERDOLIN, A. L. M.; BARROS, B. de A.; ALVES, M. de C.; NODA, R. W.; CARNEIRO, A. A.; CARNEIRO, N. P. Avaliação da tecnologia do RNA interferente (RNAi) para controle de Rhopalosiphum maidis e Schizaphis graminum em milho. In: CONGRESSO NACIONAL DE MILHO E SORGO, 31., 2016, Bento Gonçalves. Milho e sorgo: inovações, mercados e segurança alimentar: anais. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2016. p. 18-22.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 18. | | TINOCO, C. F. D. S.; MAGALHAES, J. V. de; LANA, U. G. de P.; NODA, R. W.; SIMÕES, C. C.; GUIMARAES, C. T. Data mining and phylogeny to select candidate genes responsible for aluminum tolerance in maize. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 6., 2010, Ouro Preto. Abstracts... [S.l.: s.n.], 2010. p. 15. AB3C X-meeting 2010.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 19. | | BARROS, B. de A.; CARNEIRO, A. A.; ALVES, P. A.; MOREIRA, R. O.; ALVES, M. de C.; NODA, R. W.; CARNEIRO, N. P. Identificação por RNAseq e validação por qPCR de genes diferencialmente expressos em sorgo em resposta ao estresse hídrico. In: CONGRESSO NACIONAL DE MILHO E SORGO, 31., 2016, Bento Gonçalves. Milho e sorgo: inovações, mercados e segurança alimentar: anais. Sete Lagoas: Associação Brasileira de Milho e Sorgo, 2016.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| 20. | | NEGRI, B. F.; RIBEIRO, C. A. G.; FERREIRA, N. F.; LANA, U. G. P.; NODA, R. W.; GUIMARAES, C. T.; SOUSA, S. M. de. GWAS of a maize Phosphorus-Starvation Tolerance 1 homolog expression in a tropical diverse panel. In: CONGRESSO BRASILEIRO DE GENÉTICA, 62., 2016, Caxambu. Resumos... Ribeirão Preto: Sociedade Brasileira de Genética, 2016.| Biblioteca(s): Embrapa Milho e Sorgo. |
| |
| Registros recuperados : 51 | |
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Milho e Sorgo. Para informações adicionais entre em contato com cnpms.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Milho e Sorgo. |
|
Data corrente: |
25/08/2014 |
|
Data da última atualização: |
23/05/2017 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
Circulação/Nível: |
A - 1 |
|
Autoria: |
HANKE, L. A. F.; BOTELHO, C. S.; BRAZ, F. A. F.; BATISTA, P. H. S.; FLATSCHART, A. V. F.; NODA, R. W.; CARNEIRO, A. A.; CAMPOS, A. C. F.; CAMPOS, S. V. A. |
|
Afiliação: |
ROBERTO WILLIANS NODA, CNPMS; ANDREA ALMEIDA CARNEIRO, CNPMS. |
|
Título: |
FluxTransgenics: a flexible LIMS-based tool for management of plant transformation experimental data. |
|
Ano de publicação: |
2014 |
|
Fonte/Imprenta: |
Plant Methods, v. 10, n. 20, p. 1-9, 2014 |
|
DOI: |
10.1186/1746-4811-10-20 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Background: The production and commercial release of Genetically Modified Organisms (GMOs) are currently the focus of important discussions. In order to guarantee the quality and reliability of their trials, companies and institutions working on this subject mustadopt new approaches on management, organization and recording of laboratory conditions where field studies are performed. Computational systems for management and storage of laboratory data known as Laboratory Information Management Systems (LIMS) are essential tools to achieve this. Results: In this work, we have used the SIGLa system – a workflow based LIMS as a framework to develop the FluxTransgenics system for a GMOs laboratory of Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Maize and Sorghum (Sete Lagoas, MG - Brazil). A workflow representing all stages of the transgenic maize plants generation has been developed and uploaded in FluxTransgenics. This workflow models the activities involved in maize and sorghum transformation using the Agrobacterium tumefaciens method. By uploading this workflow in the SIGLa system we have created Fluxtransgenics, a complete LIMS for managing plant transformation data. Conclusions:FluxTransgenics presents a solution for the management of the data produced by a laboratory of genetically modified plants that is efficient and supports different kinds of information. Its adoption will contribute to guarantee the quality of activities and products in the process of transgenic production and enforce the use of Good Laboratory Practices (GLP).The adoption of the transformation protocol associated to the use of FluxTransgenics has made it possible to increase productivity by at least 300%, increasing the efficiency of the experiments from between 0.5 and 1 percent to about3%. This has been achieved by an increase in the number of experiments performed and a more accurate choice of parameters, all of which have been made possible because it became easier to identify which were the most promising next steps of the experiments. The FluxTransgenics system is available for use by other laboratories, and the workflows that have been developed can be adapted to other contexts. MenosBackground: The production and commercial release of Genetically Modified Organisms (GMOs) are currently the focus of important discussions. In order to guarantee the quality and reliability of their trials, companies and institutions working on this subject mustadopt new approaches on management, organization and recording of laboratory conditions where field studies are performed. Computational systems for management and storage of laboratory data known as Laboratory Information Management Systems (LIMS) are essential tools to achieve this. Results: In this work, we have used the SIGLa system – a workflow based LIMS as a framework to develop the FluxTransgenics system for a GMOs laboratory of Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Maize and Sorghum (Sete Lagoas, MG - Brazil). A workflow representing all stages of the transgenic maize plants generation has been developed and uploaded in FluxTransgenics. This workflow models the activities involved in maize and sorghum transformation using the Agrobacterium tumefaciens method. By uploading this workflow in the SIGLa system we have created Fluxtransgenics, a complete LIMS for managing plant transformation data. Conclusions:FluxTransgenics presents a solution for the management of the data produced by a laboratory of genetically modified plants that is efficient and supports different kinds of information. Its adoption will contribute to guarantee the quality of activities and products in the process of transgen... Mostrar Tudo |
|
Palavras-Chave: |
Sistema de gerenciamento de informação de laboratório; Transformação de planta. |
|
Thesagro: |
Genética; Milho; Sorgo. |
|
Categoria do assunto: |
-- |
|
Marc: |
LEADER 03089naa a2200289 a 4500
001 1993337
005 2017-05-23
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1186/1746-4811-10-20$2DOI
100 1 $aHANKE, L. A. F.
245 $aFluxTransgenics$ba flexible LIMS-based tool for management of plant transformation experimental data.$h[electronic resource]
260 $c2014
520 $aBackground: The production and commercial release of Genetically Modified Organisms (GMOs) are currently the focus of important discussions. In order to guarantee the quality and reliability of their trials, companies and institutions working on this subject mustadopt new approaches on management, organization and recording of laboratory conditions where field studies are performed. Computational systems for management and storage of laboratory data known as Laboratory Information Management Systems (LIMS) are essential tools to achieve this. Results: In this work, we have used the SIGLa system – a workflow based LIMS as a framework to develop the FluxTransgenics system for a GMOs laboratory of Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Maize and Sorghum (Sete Lagoas, MG - Brazil). A workflow representing all stages of the transgenic maize plants generation has been developed and uploaded in FluxTransgenics. This workflow models the activities involved in maize and sorghum transformation using the Agrobacterium tumefaciens method. By uploading this workflow in the SIGLa system we have created Fluxtransgenics, a complete LIMS for managing plant transformation data. Conclusions:FluxTransgenics presents a solution for the management of the data produced by a laboratory of genetically modified plants that is efficient and supports different kinds of information. Its adoption will contribute to guarantee the quality of activities and products in the process of transgenic production and enforce the use of Good Laboratory Practices (GLP).The adoption of the transformation protocol associated to the use of FluxTransgenics has made it possible to increase productivity by at least 300%, increasing the efficiency of the experiments from between 0.5 and 1 percent to about3%. This has been achieved by an increase in the number of experiments performed and a more accurate choice of parameters, all of which have been made possible because it became easier to identify which were the most promising next steps of the experiments. The FluxTransgenics system is available for use by other laboratories, and the workflows that have been developed can be adapted to other contexts.
650 $aGenética
650 $aMilho
650 $aSorgo
653 $aSistema de gerenciamento de informação de laboratório
653 $aTransformação de planta
700 1 $aBOTELHO, C. S.
700 1 $aBRAZ, F. A. F.
700 1 $aBATISTA, P. H. S.
700 1 $aFLATSCHART, A. V. F.
700 1 $aNODA, R. W.
700 1 $aCARNEIRO, A. A.
700 1 $aCAMPOS, A. C. F.
700 1 $aCAMPOS, S. V. A.
773 $tPlant Methods$gv. 10, n. 20, p. 1-9, 2014
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Milho e Sorgo (CNPMS) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
