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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
11/08/2009 |
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Data da última atualização: |
26/08/2010 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
MATTOS, P. P. de; SALIS, S. M. de; BRAZ, E. M.; CRISPIM, S. M. A. |
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Título: |
Manejo sustentável de florestas naturais do Pantanal da Nhecolândia: primeira abordagem. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
In: CONGRESO LATINOAMERICANO IUFRO, 2., 2006, La Serena. Bosques: la creciente importancia de sus funciones ambientales, sociales y económicas. [Santiago]: INFOR, 2006. |
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Páginas: |
p. 148 |
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Idioma: |
Português |
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Palavras-Chave: |
Floresta natural; Manejo sustentável; Nhecolândia. |
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Thesaurus Nal: |
Pantanal. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 00709naa a2200205 a 4500
001 1281688
005 2010-08-26
008 2006 bl --- 0-- u #d
100 1 $aMATTOS, P. P. de
245 $aManejo sustentável de florestas naturais do Pantanal da Nhecolândia$bprimeira abordagem.
260 $c2006
300 $ap. 148
650 $aPantanal
653 $aFloresta natural
653 $aManejo sustentável
653 $aNhecolândia
700 1 $aSALIS, S. M. de
700 1 $aBRAZ, E. M.
700 1 $aCRISPIM, S. M. A.
773 $tIn: CONGRESO LATINOAMERICANO IUFRO, 2., 2006, La Serena. Bosques: la creciente importancia de sus funciones ambientales, sociales y económicas. [Santiago]: INFOR, 2006.
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Registro original: |
Embrapa Florestas (CNPF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
25/01/2011 |
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Data da última atualização: |
17/06/2011 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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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. |
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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. |
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Título: |
A brazilian soybean database. |
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Ano de publicação: |
2010 |
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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. |
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Idioma: |
Inglês |
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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 |
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Palavras-Chave: |
Soybean. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/36659/1/Xmeeting-Abstracts-2010.pdf
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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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Registro original: |
Embrapa Soja (CNPSO) |
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