The imputation from lower density SNP chip genotypes to whole-genome sequence level is an established approach to generate high density genotypes for many individuals. Imputation accuracy is dependent on many factors and for small cattle populations such as the endangered German Black Pied cattle (DSN), determining the optimal imputation strategy is especially challenging since only a low number of high density genotypes is available. In this paper, the accuracy of imputation was explored with regard to (1) phasing of the target population and the reference panel for imputation, (2) comparison of a 1-step imputation approach, where 50 k genotypes are directly imputed to sequence level, to a 2-step imputation approach that used an intermedia...
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...
Imputation of missing genotypes is important to join data from animals genotyped on different single...
The imputation from lower density SNP chip genotypes to whole-genome sequence level is an establishe...
The imputation from lower density SNP chip genotypes to whole-genome sequence level is an establishe...
The imputation from lower density SNP chip genotypes to whole-genome sequence level is an establishe...
This article was supported by the German Research Foundation (DFG) and the Open Access Publication F...
This article was supported by the German Research Foundation (DFG) and the Open Access Publication F...
Background Currently, genome-wide evaluation of cattle populations is based on SNP-genotyping using...
The use of whole-genome sequence data can lead to more accurate genomic predictions in animal and pl...
Background: We investigated strategies and factors affecting accuracy of imputing genotypes from low...
Abstract Background Accurate imputation plays a major role in genomic studies of livestock industrie...
Background: Strategies for imputing genotypes from the Illumina-Bovine3K, Illumina-BovineLD (6K), Be...
Background: Strategies for imputing genotypes from the Illumina-Bovine3K, Illumina-BovineLD (6K), Be...
Background: Strategies for imputing genotypes from the Illumina-Bovine3K, Illumina-BovineLD (6K), Be...
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...
Imputation of missing genotypes is important to join data from animals genotyped on different single...
The imputation from lower density SNP chip genotypes to whole-genome sequence level is an establishe...
The imputation from lower density SNP chip genotypes to whole-genome sequence level is an establishe...
The imputation from lower density SNP chip genotypes to whole-genome sequence level is an establishe...
This article was supported by the German Research Foundation (DFG) and the Open Access Publication F...
This article was supported by the German Research Foundation (DFG) and the Open Access Publication F...
Background Currently, genome-wide evaluation of cattle populations is based on SNP-genotyping using...
The use of whole-genome sequence data can lead to more accurate genomic predictions in animal and pl...
Background: We investigated strategies and factors affecting accuracy of imputing genotypes from low...
Abstract Background Accurate imputation plays a major role in genomic studies of livestock industrie...
Background: Strategies for imputing genotypes from the Illumina-Bovine3K, Illumina-BovineLD (6K), Be...
Background: Strategies for imputing genotypes from the Illumina-Bovine3K, Illumina-BovineLD (6K), Be...
Background: Strategies for imputing genotypes from the Illumina-Bovine3K, Illumina-BovineLD (6K), Be...
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...
Imputation of missing genotypes is important to join data from animals genotyped on different single...