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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
06/03/2008 |
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Data da última atualização: |
31/05/2017 |
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Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
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Autoria: |
DIAS, W. P. |
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Afiliação: |
WALDIR PEREIRA DIAS, CNPSO. |
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Título: |
Controle de nematóides fitoparasitas associados à cultura da soja. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
In: SARAIVA, O. F.; LEITE, R. M. V. B. de C. (Org.) Resultados de pesquisa da Embrapa Soja 2004. Londrina: Embrapa Soja, 2006. |
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Páginas: |
p. 7-10. |
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Série: |
(Embrapa Soja. Documentos, 278). |
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Idioma: |
Português |
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Thesagro: |
Nematóide; Soja. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/102815/1/Controle-de-nematoides-fitoparasitas-associados-a-cultura-da-soja.pdf
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Marc: |
LEADER 00521naa a2200157 a 4500
001 1470585
005 2017-05-31
008 2006 bl uuuu u00u1 u #d
100 1 $aDIAS, W. P.
245 $aControle de nematóides fitoparasitas associados à cultura da soja.
260 $c2006
300 $ap. 7-10.
490 $a(Embrapa Soja. Documentos, 278).
650 $aNematóide
650 $aSoja
773 $tIn: SARAIVA, O. F.; LEITE, R. M. V. B. de C. (Org.) Resultados de pesquisa da Embrapa Soja 2004. Londrina: Embrapa Soja, 2006.
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Registro original: |
Embrapa Soja (CNPSO) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
15/01/2016 |
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Data da última atualização: |
21/01/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SILVA, J. M. da; ROMANIUC, A. R.; CAETANO, A. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B. |
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Afiliação: |
JOAQUIM MANOEL DA SILVA, Unemat; ALAN ROBERTO ROMANIUC, CNPTIA; ALEXANDRE RODRIGUES CAETANO, CENARGEN; POLIANA FERNANDA GIACHETTO, CNPTIA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA. |
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Título: |
Java Merging Copy Number Variants (JM-CNV): a new algorithm for identifying Copy Number Variant Regions (CNVR). |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2015. |
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Páginas: |
Não paginado. |
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Idioma: |
Inglês |
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Notas: |
PAG 2015. Pôster P1170. |
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Conteúdo: |
CNVs (Copy Number Variations) are defined as copy number variations of DNA fragments typically larger than one kilobase (Kb), but less than five megabases (Mb). They represent a genomic disequilibrium that alters the ploidy in a specific locus within an individual, which may also be observed with varying frequencies within a population. An initial study estimated that 12% of the human genome shows this type of structural variation. Reliable tools have been developed to detect CNVs from molecular data produced with three main platforms: Comparative Genomic Hybridization (CGH) arrays, Single Nucleotide Polymorphism (SNP) genotyping arrays, and DNA Next-Generation Sequencing (NGS). However, processes for merging overlapping CNVs into a meaningful set of discrete Copy Number Variable Regions (CNVRs) need improvement, particularly when several CNV patterns co-exist within the same genomic locus. Available algorithms frequently merge noncontiguous CNVRs or fragment large CNVRs into multiple regions. A new web-based software (Java Merging Copy Number Variants: JM-CNV) was developed to address the aforementioned issues. |
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Palavras-Chave: |
Bioinformática; Copy Number Variations. |
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Thesaurus NAL: |
Bioinformatics; Computer software. |
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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/137048/1/Java-Silva-PAG.pdf
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Marc: |
LEADER 01911nam a2200229 a 4500
001 2034001
005 2020-01-21
008 2015 bl uuuu u00u1 u #d
100 1 $aSILVA, J. M. da
245 $aJava Merging Copy Number Variants (JM-CNV)$ba new algorithm for identifying Copy Number Variant Regions (CNVR).$h[electronic resource]
260 $aIn: PLANT & ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA. [Abstracts...]. San Diego: [s.n.]$c2015
300 $aNão paginado.
500 $aPAG 2015. Pôster P1170.
520 $aCNVs (Copy Number Variations) are defined as copy number variations of DNA fragments typically larger than one kilobase (Kb), but less than five megabases (Mb). They represent a genomic disequilibrium that alters the ploidy in a specific locus within an individual, which may also be observed with varying frequencies within a population. An initial study estimated that 12% of the human genome shows this type of structural variation. Reliable tools have been developed to detect CNVs from molecular data produced with three main platforms: Comparative Genomic Hybridization (CGH) arrays, Single Nucleotide Polymorphism (SNP) genotyping arrays, and DNA Next-Generation Sequencing (NGS). However, processes for merging overlapping CNVs into a meaningful set of discrete Copy Number Variable Regions (CNVRs) need improvement, particularly when several CNV patterns co-exist within the same genomic locus. Available algorithms frequently merge noncontiguous CNVRs or fragment large CNVRs into multiple regions. A new web-based software (Java Merging Copy Number Variants: JM-CNV) was developed to address the aforementioned issues.
650 $aBioinformatics
650 $aComputer software
653 $aBioinformática
653 $aCopy Number Variations
700 1 $aROMANIUC, A. R.
700 1 $aCAETANO, A. R.
700 1 $aGIACHETTO, P. F.
700 1 $aYAMAGISHI, M. E. B.
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Embrapa Agricultura Digital (CNPTIA) |
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