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AGHmatrix: genetic relationship matrices in R.
Amadeu, Rodrigo R; Garcia, Antonio Augusto F; Munoz, Patricio R; Ferrão, Luís Felipe V.
Afiliação
  • Amadeu RR; Bayer U.S.-Crop Science, Chesterfield, MO, United States.
  • Garcia AAF; Departamento de Genética, Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, Piracicaba, SP, Brazil.
  • Munoz PR; Blueberry, Breeding and Genomics Lab, Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, United States.
  • Ferrão LFV; Blueberry, Breeding and Genomics Lab, Horticultural Sciences Department, University of Florida, Gainesville, FL 32611, United States.
Bioinformatics ; 39(7)2023 07 01.
Article em En | MEDLINE | ID: mdl-37471595
ABSTRACT
MOTIVATION The resemble between relatives computed from pedigree and genomic data is an important resource for geneticists and ecologists, who are interested in understanding how genes influence phenotypic variation, fitness adaptation, and population dynamics.

RESULTS:

The AGHmatrix software is an R package focused on the construction of pedigree (A matrix) and/or molecular markers (G matrix), with the possibility of building a combined matrix of pedigree corrected by molecular markers (H matrix). Designed to estimate the relationships for any ploidy level, the software also includes auxiliary functions related to filtering molecular markers, and checks pedigree errors in large data sets. After computing the relationship matrices, results from the AGHmatrix can be used in different contexts, including on prediction of (genomic) estimated breeding values and genome-wide association studies. AVAILABILITY AND IMPLEMENTATION AGHmatrix v2.1.0 is available under GPL-3 license in CRAN at https//cran.r-project.org/web/packages/AGHmatrix/index.html and also in GitHub at https//github.com/rramadeu/AGHmatrix. It has a comprehensive tutorial, and it follows with real data examples.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Estudo de Associação Genômica Ampla Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Estudo de Associação Genômica Ampla Idioma: En Ano de publicação: 2023 Tipo de documento: Article