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Registro Completo |
Biblioteca(s): |
Embrapa Soja. |
Data corrente: |
24/10/1994 |
Data da última atualização: |
24/10/1994 |
Autoria: |
SEDIYAMA, T.; SEDIYAMA, C. S.; ROCHA, V. S.; REIS, M. S.; SANTOS, J. F. dos; OLIVEIRA, A. B. de; GOMES, J. L. L. |
Afiliação: |
UFV. Departamento de Fitotecnia. CEP 36.570. Vicosa, MG. |
Título: |
Selecao preliminar de genotipos de soja de ciclo tardio, em Capinopolis, Minas Gerais, 1985/86. |
Ano de publicação: |
1988 |
Fonte/Imprenta: |
In: REUNIAO DO PROGRAMA DE PESQUISA DE SOJA DO ESTADO DE MINAS GERAIS 1986, Uberaba. Memoria. Vicosa : UFV, 1988. p.56-58. |
Idioma: |
Português |
Palavras-Chave: |
Brasil; Minas Gerais; Selection; Soybean. |
Thesagro: |
Genótipo; Melhoramento; Seleção; Soja. |
Thesaurus Nal: |
Brazil; breeding; genotype. |
Categoria do assunto: |
-- |
Marc: |
LEADER 00890naa a2200313 a 4500 001 1455751 005 1994-10-24 008 1988 bl uuuu u00u1 u #d 100 1 $aSEDIYAMA, T. 245 $aSelecao preliminar de genotipos de soja de ciclo tardio, em Capinopolis, Minas Gerais, 1985/86. 260 $c1988 650 $aBrazil 650 $abreeding 650 $agenotype 650 $aGenótipo 650 $aMelhoramento 650 $aSeleção 650 $aSoja 653 $aBrasil 653 $aMinas Gerais 653 $aSelection 653 $aSoybean 700 1 $aSEDIYAMA, C. S. 700 1 $aROCHA, V. S. 700 1 $aREIS, M. S. 700 1 $aSANTOS, J. F. dos 700 1 $aOLIVEIRA, A. B. de 700 1 $aGOMES, J. L. L. 773 $tIn: REUNIAO DO PROGRAMA DE PESQUISA DE SOJA DO ESTADO DE MINAS GERAIS 1986, Uberaba. Memoria. Vicosa : UFV, 1988. p.56-58.
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Registro original: |
Embrapa Soja (CNPSO) |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
15/01/2016 |
Data da última atualização: |
21/01/2020 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
SILVA, J. M. da; ROMANIUC, A. R.; CAETANO, A. R.; GIACHETTO, P. F.; YAMAGISHI, M. E. B. |
Afiliação: |
JOAQUIM MANOEL DA SILVA, Unemat; ALAN ROBERTO ROMANIUC, CNPTIA; ALEXANDRE RODRIGUES CAETANO, CENARGEN; POLIANA FERNANDA GIACHETTO, CNPTIA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA. |
Título: |
Java Merging Copy Number Variants (JM-CNV): a new algorithm for identifying Copy Number Variant Regions (CNVR). |
Ano de publicação: |
2015 |
Fonte/Imprenta: |
In: PLANT & ANIMAL GENOME CONFERENCE, 23., 2015, San Diego, CA. [Abstracts...]. San Diego: [s.n.], 2015. |
Páginas: |
Não paginado. |
Idioma: |
Inglês |
Notas: |
PAG 2015. Pôster P1170. |
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. |
Palavras-Chave: |
Bioinformática; Copy Number Variations. |
Thesaurus NAL: |
Bioinformatics; Computer software. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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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