<p>The first and second principal components explain 8.7% and 1.4% of the total variation, respectively. The dashed line indicates the division of the cows into two groups.</p
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
The genetic identification of the population of origin of individuals, including animals, has severa...
The goal of this project is to study the relationship between the genotype (SNPs) and phenotype (fee...
<p>The first component separates the European Angus from the East-Asian cattle breeds and explains 2...
Background Due to the advent of SNP array technology, a genome-wide analysis of genetic differences ...
<p>Individual animals were plotted for the first (PCA1) and second (PCA2) principal components using...
Additional file 1: Figure S1. Principal component analysis in 1577 sequenced animals. aâc Plot of ...
<p>Points were colored according to geographic origin of breed; black: Africa, green: Asia, red: Nor...
Abstract Background Due to the advent of SNP array technology, a genome-wide analysis of genetic di...
<p><b>(A)</b> Principal Component Analysis of SNP genotypes corresponding to cattle breeds grouped b...
<p>Colours represent population clusters: red for SE dingoes, purple for FI dingoes, blue for NW din...
1<p>The estimated SNP effect is given for both breeds even though rarely a SNP explained a large pro...
Proportion of additive genetic variance, explained by 1 Mb windows of adjacent SNPs, for the polled ...
While single nucleotide polymorphisms (SNPs) associated with multiple phenotype have been reported, ...
The methods of single nucleotide polymorphism (SNP) identification can lead to ascertainment bias, w...
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
The genetic identification of the population of origin of individuals, including animals, has severa...
The goal of this project is to study the relationship between the genotype (SNPs) and phenotype (fee...
<p>The first component separates the European Angus from the East-Asian cattle breeds and explains 2...
Background Due to the advent of SNP array technology, a genome-wide analysis of genetic differences ...
<p>Individual animals were plotted for the first (PCA1) and second (PCA2) principal components using...
Additional file 1: Figure S1. Principal component analysis in 1577 sequenced animals. aâc Plot of ...
<p>Points were colored according to geographic origin of breed; black: Africa, green: Asia, red: Nor...
Abstract Background Due to the advent of SNP array technology, a genome-wide analysis of genetic di...
<p><b>(A)</b> Principal Component Analysis of SNP genotypes corresponding to cattle breeds grouped b...
<p>Colours represent population clusters: red for SE dingoes, purple for FI dingoes, blue for NW din...
1<p>The estimated SNP effect is given for both breeds even though rarely a SNP explained a large pro...
Proportion of additive genetic variance, explained by 1 Mb windows of adjacent SNPs, for the polled ...
While single nucleotide polymorphisms (SNPs) associated with multiple phenotype have been reported, ...
The methods of single nucleotide polymorphism (SNP) identification can lead to ascertainment bias, w...
<p>The first principal component accounts for 94.7% of variation and the second component explained ...
The genetic identification of the population of origin of individuals, including animals, has severa...
The goal of this project is to study the relationship between the genotype (SNPs) and phenotype (fee...