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Registros recuperados : 367 | |
7. | | ABDELNOOR, R. V.; MORIYAMA, H.; MACKENZIE, S. Identification of Msh-1-homologue genes in soybean, rice, tomato and common bean. In: WORLD SOYBEAN RESEARCH CONFERENCE, 7.; INTERNATIONAL SOYBEAN PROCESSING AND UTILIZATION CONFERENCE, 4.; CONGRESSO BRASILEIRO DE SOJA, 3., 2004, Foz do Iguassu. Abstracts of contributed papers and posters. Londrina: Embrapa Soybean, 2004. p. 255. (Embrapa Soja. Documentos, 228). Editado por Flávio Moscardi, Clara Beatriz Hoffmann-Campo, Odilon Ferreira Saraiva, Paulo Roberto Galerani, Francisco Carlos Krzyzanowski, Mercedes Concordia Carrão-Panizzi. Biblioteca(s): Embrapa Soja. |
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15. | | MORALES, A. M. A. P.; BORÉM, A.; GRAHAM, M.; ABDELNOOR, R. V. Advances on molecular studies of the interaction soybean - Asian rust. Crop Breeding Applied Biotechnology, Viçosa, MG, v. 12, n. 1, p. 1-7, 2012. Biblioteca(s): Embrapa Soja. |
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16. | | ABDELNOOR, R. V.; YULE, R.; ELO, A.; CHRISTENSEN, A. C.; MEYER-GAUEN, G.; MACKENZIE, S. A. Substoichiometric shifting in the plant mitochondrial genome is influenced by a gene homologous to MutS. PNAS, v. 100, n. 10, p. 5968-5973, May 2003. Biblioteca(s): Embrapa Soja. |
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17. | | ALMEIDA, A. M. R.; ABDELNOOR, R. V.; CALVO, E. S.; TESSNMAN, D.; YORINORI, J. T. Genotypic diversity among brazilian isolates of Sclerotium rolfsii. Journal of Phytopathology, Berlin, v. 149, n. 9, p. 493-502, 2001. Biblioteca(s): Embrapa Soja. |
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20. | | SILVA, J. F. V.; FERRAZ, L. C. C. E.; ARIAS, C. A.; ABDELNOOR, R. V. Identificacao de marcadores moleculares de microssatelites associados a resistencia de genotipos de soja a Meloidogyne javanica. In: CONGRESSO BRASILEIRO DE NEMATOLOGIA, 23., 2001, Marilia. Anais... Piracicaba: SBN; Garca: FAEF, 2001. p. 63. Publicado tambem em Nematologia Brasileira, Brasília, DF, v.25, n.1, p. 106, jun. 2001. Resumos. Biblioteca(s): Embrapa Soja. |
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Registros recuperados : 367 | |
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Registro Completo
Biblioteca(s): |
Embrapa Soja. |
Data corrente: |
25/01/2011 |
Data da última atualização: |
17/06/2011 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
NASCIMENTO, L. C.; COSTA, G. G. L.; MEYER, L.; BINNECK, E.; RODRIGUES, F.; KULCHESKI, F. R.; MARGIS, R.; KIDO, E. A.; MARCELINO, F. C.; NEPOMUCENO, A. L.; ABDELNOOR, R. V.; PEREIRA, G. A. G.; CARAZZOLLE, M. F. |
Afiliação: |
L. C. NASCIMENTO, Universidade Estadual de Campinas; G. G. L. COSTA, Universidade Estadual de Campinas; L. MEYER, Universidade Estadual de Campinas; ELISEU BINNECK, CNPSO; F. RODRIGUES; F. R. KULCHESKI, UFRGS; R. MARGIS, UFRGS; E. A. KIDO, Universidade Federal de Pernambuco; FRANCISMAR CORREA MARCELINO, CNPSO; ALEXANDRE LIMA NEPOMUCENO, CNPSO; RICARDO VILELA ABDELNOOR, CNPSO; G. A. G. PEREIRA, Universidade Estadual de Campinas; M. F. CARAZZOLLE, Universidade Estadual de Campinas. |
Título: |
A brazilian soybean database. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 6., 2010, Ouro Preto. Abstracts book... Ouro Preto: AB3C, 2010. p. 120. X-Meeting 2010. |
Idioma: |
Inglês |
Conteúdo: |
Soybean is a legume with large economic importance in the international market, with a world production of almost two hundred and ten million tons in the 2008/2009 harvest. Brazil appears as the second largest producer, with about twenty-five percent of the world production. In 2007, the Brazilian Soybean Genome Consortium (GENOSOJA) was established with the goal of integrating several institutions currently working with soybean genomics in Brazil. The project has an initiative to search for new treats to improve the soybean production process, emphasizing in stresses that affect the national production, like the occurrence of droughts, pests attacks and the Asian Rust disease. Among the objectives of GENOSOJA is the creation of a relational database, integrating the results achieved by different methodologies utilized in the project. In the GENOSOJA context, we created a brazilian soybean database, integrating: (1) public data consisting of genome and predicted genes from JGI, an assembly of 1,276,813 of NCBI ESTs from several cultivars and 4,712 full-length cDNA sequences from one japanese cultivar; and (2) private data consisting of (i ) three cDNA libraries explored by SuperSAGE methodology, resulting in 4,373,053 tags of 26 bp, (ii ) 22 cDNA subctrative libraries from several brazilian cultivars under different stresses and (iii ) several libraries of soybean microRNAs under eight conditions and size between 19 and 24 bp. All these data were sequenced using Solexa/Illumina sequencing technology. This database offers to the users some features, including keywords searches, statics comparisons, automatic annotation, gene ontology classification and gene expression of the genes under certain conditions. All data are storage in a Fedora Linux machine, running the MySQL database server. The web interface is based in a combination of CGI scripts using Perl language (including BioPerl module) and the Apache Web Server. MenosSoybean is a legume with large economic importance in the international market, with a world production of almost two hundred and ten million tons in the 2008/2009 harvest. Brazil appears as the second largest producer, with about twenty-five percent of the world production. In 2007, the Brazilian Soybean Genome Consortium (GENOSOJA) was established with the goal of integrating several institutions currently working with soybean genomics in Brazil. The project has an initiative to search for new treats to improve the soybean production process, emphasizing in stresses that affect the national production, like the occurrence of droughts, pests attacks and the Asian Rust disease. Among the objectives of GENOSOJA is the creation of a relational database, integrating the results achieved by different methodologies utilized in the project. In the GENOSOJA context, we created a brazilian soybean database, integrating: (1) public data consisting of genome and predicted genes from JGI, an assembly of 1,276,813 of NCBI ESTs from several cultivars and 4,712 full-length cDNA sequences from one japanese cultivar; and (2) private data consisting of (i ) three cDNA libraries explored by SuperSAGE methodology, resulting in 4,373,053 tags of 26 bp, (ii ) 22 cDNA subctrative libraries from several brazilian cultivars under different stresses and (iii ) several libraries of soybean microRNAs under eight conditions and size between 19 and 24 bp. All these data were sequenced using Solexa/Illum... Mostrar Tudo |
Palavras-Chave: |
Soybean. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/36659/1/Xmeeting-Abstracts-2010.pdf
|
Marc: |
LEADER 02779nam a2200265 a 4500 001 1874417 005 2011-06-17 008 2010 bl uuuu u00u1 u #d 100 1 $aNASCIMENTO, L. C. 245 $aA brazilian soybean database. 260 $aIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 6., 2010, Ouro Preto. Abstracts book... Ouro Preto: AB3C, 2010. p. 120. X-Meeting 2010.$c2010 520 $aSoybean is a legume with large economic importance in the international market, with a world production of almost two hundred and ten million tons in the 2008/2009 harvest. Brazil appears as the second largest producer, with about twenty-five percent of the world production. In 2007, the Brazilian Soybean Genome Consortium (GENOSOJA) was established with the goal of integrating several institutions currently working with soybean genomics in Brazil. The project has an initiative to search for new treats to improve the soybean production process, emphasizing in stresses that affect the national production, like the occurrence of droughts, pests attacks and the Asian Rust disease. Among the objectives of GENOSOJA is the creation of a relational database, integrating the results achieved by different methodologies utilized in the project. In the GENOSOJA context, we created a brazilian soybean database, integrating: (1) public data consisting of genome and predicted genes from JGI, an assembly of 1,276,813 of NCBI ESTs from several cultivars and 4,712 full-length cDNA sequences from one japanese cultivar; and (2) private data consisting of (i ) three cDNA libraries explored by SuperSAGE methodology, resulting in 4,373,053 tags of 26 bp, (ii ) 22 cDNA subctrative libraries from several brazilian cultivars under different stresses and (iii ) several libraries of soybean microRNAs under eight conditions and size between 19 and 24 bp. All these data were sequenced using Solexa/Illumina sequencing technology. This database offers to the users some features, including keywords searches, statics comparisons, automatic annotation, gene ontology classification and gene expression of the genes under certain conditions. All data are storage in a Fedora Linux machine, running the MySQL database server. The web interface is based in a combination of CGI scripts using Perl language (including BioPerl module) and the Apache Web Server. 653 $aSoybean 700 1 $aCOSTA, G. G. L. 700 1 $aMEYER, L. 700 1 $aBINNECK, E. 700 1 $aRODRIGUES, F. 700 1 $aKULCHESKI, F. R. 700 1 $aMARGIS, R. 700 1 $aKIDO, E. A. 700 1 $aMARCELINO, F. C. 700 1 $aNEPOMUCENO, A. L. 700 1 $aABDELNOOR, R. V. 700 1 $aPEREIRA, G. A. G. 700 1 $aCARAZZOLLE, M. F.
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