1<p>The reference population sizes used for imputation were n = 7,077, n = 4,741 and n = 2,406 for scenario S1, S2 and S3, respectively; 0%, 33%, and 66% of the training set in scenario S1, S2, and S3, respectively, and all bulls in the validation set were genotyped on the low density panel.</p
<p>Imputation was performed for A) Bovine3K and B) BovineLD genotypes using Beagle software (<a href...
Imputation of genotypes can be used to reduce the implementation costs of genomic selection. In this...
AbstractThis study investigated the imputation accuracy of different methods, considering both the m...
The aim of this study was to evaluate the impact of genotype imputation on the performance of the GB...
<p><sup><i>a</i></sup>Imputation was done using findhap.f90 (<a href="http://aipl.arsusda.gov/softwa...
A variety of modern software packages are available for genotype imputation relying on advanced conc...
<div><p>The aim of this study was to evaluate the impact of genotype imputation on the performance o...
Background: Strategies for imputing genotypes from the Illumina-Bovine3K, Illumina-BovineLD (6K), Be...
1<p>0%, 33%, and 66% of the training set in scenario S1, S2, and S3, respectively, and all bulls in ...
<p>Bulls in the training were genotyped on the 50 k panel, and bulls in the validation set were geno...
Genotype imputation is routinely applied in a large number of cattle breeds. Imputation has become a...
Background Currently, genome-wide evaluation of cattle populations is based on SNP-genotyping using...
<p>Bulls in the training were genotyped on the 50 k panel, and bulls in the validation set were geno...
International audienceAbstractBackgroundGenotype imputation is a key element of the implementation o...
Genotype imputation has become a standard practice in modern genetic research to increase genome cov...
<p>Imputation was performed for A) Bovine3K and B) BovineLD genotypes using Beagle software (<a href...
Imputation of genotypes can be used to reduce the implementation costs of genomic selection. In this...
AbstractThis study investigated the imputation accuracy of different methods, considering both the m...
The aim of this study was to evaluate the impact of genotype imputation on the performance of the GB...
<p><sup><i>a</i></sup>Imputation was done using findhap.f90 (<a href="http://aipl.arsusda.gov/softwa...
A variety of modern software packages are available for genotype imputation relying on advanced conc...
<div><p>The aim of this study was to evaluate the impact of genotype imputation on the performance o...
Background: Strategies for imputing genotypes from the Illumina-Bovine3K, Illumina-BovineLD (6K), Be...
1<p>0%, 33%, and 66% of the training set in scenario S1, S2, and S3, respectively, and all bulls in ...
<p>Bulls in the training were genotyped on the 50 k panel, and bulls in the validation set were geno...
Genotype imputation is routinely applied in a large number of cattle breeds. Imputation has become a...
Background Currently, genome-wide evaluation of cattle populations is based on SNP-genotyping using...
<p>Bulls in the training were genotyped on the 50 k panel, and bulls in the validation set were geno...
International audienceAbstractBackgroundGenotype imputation is a key element of the implementation o...
Genotype imputation has become a standard practice in modern genetic research to increase genome cov...
<p>Imputation was performed for A) Bovine3K and B) BovineLD genotypes using Beagle software (<a href...
Imputation of genotypes can be used to reduce the implementation costs of genomic selection. In this...
AbstractThis study investigated the imputation accuracy of different methods, considering both the m...
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