Registro Completo |
Biblioteca(s): |
Embrapa Pecuária Sudeste. |
Data corrente: |
29/11/2019 |
Data da última atualização: |
02/12/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
SILVA, V. da; RAMOS, M.; GROENEN, M.; CROOIJMANS, R.; JOHANSSON, A.; REGITANO, L. C. de A.; COUTINHO, L.; ZIMMER, R.; WALDRON, L.; GEISTLINGER, L. |
Afiliação: |
Vinicius da Silva, Wageningen University and Research; Marcel Ramos, Swedish University of Agricultural Sciences; Martien Groenen, Wageningen University and Research; Richard Crooijmans, Wageningen University and Research; Anna Johansson, Swedish University of Agricultural Sciences; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; Luiz Coutinho, USP; Ralf Zimmer, Universität München; Levi Waldron, University of New York; Ludwig Geistlinger, University of New York. |
Título: |
CNVRanger: association analysis of CNVs with geneexpression and quantitative phenotypes. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Bioinformatics, v. 36, n. 3, p. 972-973, 2020. |
DOI: |
10.1093/bioinformatics/btz632 |
Idioma: |
Inglês |
Conteúdo: |
Copy number variation (CNV) is a major type of structural genomic variation that is increasingly studied acrossdifferent species for association with diseases and production traits. Established protocols for experimental detection andcomputational inference of CNVs from SNP array and next-generation sequencing data are available. We present theCNVRangerR/Bioconductor package which implements a comprehensive toolbox for structured downstream analysis ofCNVs. This includes functionality for summarizing individual CNV calls across a population, assessing overlap with func-tional genomic regions, and genome-wide association analysis with gene expression and quantitative phenotypes. |
Palavras-Chave: |
Expressão gênica; Fenótipos quantitativos; Genomic hybridization; Quantitative phenotypes; Structural genomic. |
Categoria do assunto: |
G Melhoramento Genético |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/218623/1/CNVRanger.pdf
|
Marc: |
LEADER 01575naa a2200301 a 4500 001 2115536 005 2020-12-02 008 2020 bl uuuu u00u1 u #d 024 7 $a10.1093/bioinformatics/btz632$2DOI 100 1 $aSILVA, V. da 245 $aCNVRanger$bassociation analysis of CNVs with geneexpression and quantitative phenotypes.$h[electronic resource] 260 $c2020 520 $aCopy number variation (CNV) is a major type of structural genomic variation that is increasingly studied acrossdifferent species for association with diseases and production traits. Established protocols for experimental detection andcomputational inference of CNVs from SNP array and next-generation sequencing data are available. We present theCNVRangerR/Bioconductor package which implements a comprehensive toolbox for structured downstream analysis ofCNVs. This includes functionality for summarizing individual CNV calls across a population, assessing overlap with func-tional genomic regions, and genome-wide association analysis with gene expression and quantitative phenotypes. 653 $aExpressão gênica 653 $aFenótipos quantitativos 653 $aGenomic hybridization 653 $aQuantitative phenotypes 653 $aStructural genomic 700 1 $aRAMOS, M. 700 1 $aGROENEN, M. 700 1 $aCROOIJMANS, R. 700 1 $aJOHANSSON, A. 700 1 $aREGITANO, L. C. de A. 700 1 $aCOUTINHO, L. 700 1 $aZIMMER, R. 700 1 $aWALDRON, L. 700 1 $aGEISTLINGER, L. 773 $tBioinformatics$gv. 36, n. 3, p. 972-973, 2020.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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