Files used to produce the results in the paper "Tournaments between markers as a strategy to enhance genomic predictions" published in Plos One.genotypes.RData: SNP genotype data set from a real bovine study of Canchim breed. This matrix contains genotypes of 526,493 SNPs from 384 animals. The genotypes are encoded as 0, 1 or 2, based on the number of copies of one of the SNP alleles. phenotypes.RData: phenotypic data set of rib eye area corrected to the contemporary group effects from a real bovine study of Canchim breed. This vector contains phenotypic data of 384 animals.The data files are in RData format (R data file) and must be loaded into R software.<br
The statistical analysis of multi-environment trial data aims to provide reliable and accurate predi...
The statistical analysis of multi-environment trial data aims to provide reliable and accurate predi...
[EN] Two scientific schools have been in coexistence from the beginning of genetics, one of them sea...
Analysis of a large number of markers is crucial in both genome-wide association studies (GWAS) and ...
Genomic prediction of future phenotypes or genetic merit using dense SNP genotypes can be used for p...
Abstract: The main goal in animal breeding is to select individuals that have high breeding values f...
Animal breeding faces one of the most significant changes of the past decades – the implementation o...
To facilitate routine genomic evaluation, a database was constructed to store genotypes for 50,972 s...
Genomic prediction of future phenotypes or genetic merit using dense SNP genotypes can be used for p...
AbstractThis study investigated the effect on the reliability of genomic prediction when a small num...
<p>The analysis of large genomic data is hampered by issues such as a small number of observations a...
In the field of genomic prediction, genotypes of animals or plants are used to predict either phenot...
Phenotypic variation can partly be explained by genetic variation, such as variation in single nucle...
Genomic prediction estimates breeding values by exploiting linkage disequilibrium (LD) between quant...
Recent advances in massive genotyping technology based on SNP (Single Nucleotide Polymorphisms) mark...
The statistical analysis of multi-environment trial data aims to provide reliable and accurate predi...
The statistical analysis of multi-environment trial data aims to provide reliable and accurate predi...
[EN] Two scientific schools have been in coexistence from the beginning of genetics, one of them sea...
Analysis of a large number of markers is crucial in both genome-wide association studies (GWAS) and ...
Genomic prediction of future phenotypes or genetic merit using dense SNP genotypes can be used for p...
Abstract: The main goal in animal breeding is to select individuals that have high breeding values f...
Animal breeding faces one of the most significant changes of the past decades – the implementation o...
To facilitate routine genomic evaluation, a database was constructed to store genotypes for 50,972 s...
Genomic prediction of future phenotypes or genetic merit using dense SNP genotypes can be used for p...
AbstractThis study investigated the effect on the reliability of genomic prediction when a small num...
<p>The analysis of large genomic data is hampered by issues such as a small number of observations a...
In the field of genomic prediction, genotypes of animals or plants are used to predict either phenot...
Phenotypic variation can partly be explained by genetic variation, such as variation in single nucle...
Genomic prediction estimates breeding values by exploiting linkage disequilibrium (LD) between quant...
Recent advances in massive genotyping technology based on SNP (Single Nucleotide Polymorphisms) mark...
The statistical analysis of multi-environment trial data aims to provide reliable and accurate predi...
The statistical analysis of multi-environment trial data aims to provide reliable and accurate predi...
[EN] Two scientific schools have been in coexistence from the beginning of genetics, one of them sea...