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| Registros recuperados : 1 | |
| 1. |  | NASCIMENTO, L. C.; COSTA, G. G. L.; VIDAL, R. O.; MEYER, L.; BINNECK, E.; KIDO, E. A.; RODRIGUES, F.; KULCHESKI, F. R.; NEPOMUCENO, A. L.; ABDELNOOR, R. V.; PEREIRA, G. A. G.; CARAZZOLLE, M. F. Bioinformatics analysis applied to genosoja project. In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 5., 2009, Angra dos Reis. Abstracts book ... Rio de Janeiro: AB3C, 2009. p. 22. X-Meeting 2009.| Biblioteca(s): Embrapa Soja. |
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| Registros recuperados : 1 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
17/06/2011 |
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Data da última atualização: |
07/10/2013 |
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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.; VIDAL, R. O.; MEYER, L.; BINNECK, E.; KIDO, E. A.; RODRIGUES, F.; KULCHESKI, F. R.; NEPOMUCENO, A. L.; ABDELNOOR, R. V.; PEREIRA, G. A. G.; CARAZZOLLE, M. F. |
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Afiliação: |
L. C. NASCIMENTO, UNICAMP; G. G. L. COSTA, UNICAMP; R. O. VIDAL, UNICAMP; L. MEYER, UNICAMP; ELISEU BINNECK, CNPSO; E. A. KIDO, Universidade Federal de Pernambuco; F. RODRIGUES, CNPSo; F. R. KULCHESKI, UFRGS; ALEXANDRE LIMA NEPOMUCENO, CNPSO; RICARDO VILELA ABDELNOOR, CNPSO; GONÇALO A. G. PEREIRA, UNICAMP; M. F. CARAZZOLLE, UNICAMP. |
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Título: |
Bioinformatics analysis applied to genosoja project. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 5., 2009, Angra dos Reis. Abstracts book ... Rio de Janeiro: AB3C, 2009. p. 22. X-Meeting 2009. |
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Idioma: |
Inglês |
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Conteúdo: |
Soybean is the legume of most economic importance in the international market, with world production of almost two hundred and thirty million tons in the 2007/2008 harvest. The Brazil appears as the largest exporter of the product in the world, with about twenty-five percent of the world production. In 2007 the brazilian government started the GENOSOJA project with the main objective of discover new treats to improve the plant production process, emphasizing in stresses that affect the national production like the occurrence of droughts, pests attacks and the Asian rust disease. This work is inserted in the GENOSOJA scope and aims to generate bioinformatics tools to integrate the public soybean data like ESTS and genomic sequences, with all data generated during the project like SuperSAGE tags, MicroRNAs and subtractive libraries sequences analysis. These sequences were generated using high throughput sequencing technologies and for each analysis a specific pipeline have to be implemented. Actually, we have processed and performed a hybrid assembly of 1,276,813 ESTs available at NCBI (sequenced by sanger and pyrosequencing tecnologies) resulting in 30,809 contigs and 29,938 singlets, supersage analysis of 2,334,864 tags sequenced by Ilumina/Solexa from several libraries resulting in 54,052 unique tags, mapped into soybean genome and assembly of 11,783,331 short-sequences sequenced by Ilumina/Solexa generated by subtracted library experiments from leaf and root tissues submitted to drought stress resulting in 5,084 genes. All these results are making available to the final user in a web interface that allows searches by keywords, statistics comparisons, visualization of automatic annotation (AutoFACT pipeline) and the gene ontology classification. MenosSoybean is the legume of most economic importance in the international market, with world production of almost two hundred and thirty million tons in the 2007/2008 harvest. The Brazil appears as the largest exporter of the product in the world, with about twenty-five percent of the world production. In 2007 the brazilian government started the GENOSOJA project with the main objective of discover new treats to improve the plant production process, emphasizing in stresses that affect the national production like the occurrence of droughts, pests attacks and the Asian rust disease. This work is inserted in the GENOSOJA scope and aims to generate bioinformatics tools to integrate the public soybean data like ESTS and genomic sequences, with all data generated during the project like SuperSAGE tags, MicroRNAs and subtractive libraries sequences analysis. These sequences were generated using high throughput sequencing technologies and for each analysis a specific pipeline have to be implemented. Actually, we have processed and performed a hybrid assembly of 1,276,813 ESTs available at NCBI (sequenced by sanger and pyrosequencing tecnologies) resulting in 30,809 contigs and 29,938 singlets, supersage analysis of 2,334,864 tags sequenced by Ilumina/Solexa from several libraries resulting in 54,052 unique tags, mapped into soybean genome and assembly of 11,783,331 short-sequences sequenced by Ilumina/Solexa generated by subtracted library experiments from leaf and root tissues submit... Mostrar Tudo |
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Palavras-Chave: |
Bioinformática. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/36655/1/xmeeting2009-abstracts.pdf
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Marc: |
LEADER 02613nam a2200253 a 4500
001 1894410
005 2013-10-07
008 2009 bl uuuu u00u1 u #d
100 1 $aNASCIMENTO, L. C.
245 $aBioinformatics analysis applied to genosoja project.
260 $aIn: INTERNATIONAL CONFERENCE OF THE BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 5., 2009, Angra dos Reis. Abstracts book ... Rio de Janeiro: AB3C, 2009. p. 22. X-Meeting 2009.$c2009
520 $aSoybean is the legume of most economic importance in the international market, with world production of almost two hundred and thirty million tons in the 2007/2008 harvest. The Brazil appears as the largest exporter of the product in the world, with about twenty-five percent of the world production. In 2007 the brazilian government started the GENOSOJA project with the main objective of discover new treats to improve the plant production process, emphasizing in stresses that affect the national production like the occurrence of droughts, pests attacks and the Asian rust disease. This work is inserted in the GENOSOJA scope and aims to generate bioinformatics tools to integrate the public soybean data like ESTS and genomic sequences, with all data generated during the project like SuperSAGE tags, MicroRNAs and subtractive libraries sequences analysis. These sequences were generated using high throughput sequencing technologies and for each analysis a specific pipeline have to be implemented. Actually, we have processed and performed a hybrid assembly of 1,276,813 ESTs available at NCBI (sequenced by sanger and pyrosequencing tecnologies) resulting in 30,809 contigs and 29,938 singlets, supersage analysis of 2,334,864 tags sequenced by Ilumina/Solexa from several libraries resulting in 54,052 unique tags, mapped into soybean genome and assembly of 11,783,331 short-sequences sequenced by Ilumina/Solexa generated by subtracted library experiments from leaf and root tissues submitted to drought stress resulting in 5,084 genes. All these results are making available to the final user in a web interface that allows searches by keywords, statistics comparisons, visualization of automatic annotation (AutoFACT pipeline) and the gene ontology classification.
653 $aBioinformática
700 1 $aCOSTA, G. G. L.
700 1 $aVIDAL, R. O.
700 1 $aMEYER, L.
700 1 $aBINNECK, E.
700 1 $aKIDO, E. A.
700 1 $aRODRIGUES, F.
700 1 $aKULCHESKI, F. R.
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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Embrapa Soja (CNPSO) |
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