As observed in previous studies [2, 3], genomic distance correlates with geographic distance.</p
<p>The same sets of randomly selected markers were used to generate PCA maps of genetic variation t...
<p>The axes 1 and 2 explained 53% of the variance in distribution of the lake populations (1: Mjöträ...
<p>(a) Multi-Dimensional scaling plot of Fst genetic distances (15 STRs; stress value=0.128); (b) Pr...
Multivariate statistical techniques such as principal components analysis (PCA) and multidimensional...
Principal components analysis, PCA, is a statistical method commonly used in population genetics to ...
Principal components analysis, PCA, is a statistical method commonly used in population genetics to ...
Background. In 2008, several principal component analyses (PCAs) applied on 660,918 single-nucleotid...
Abstract Background Accurate inference of genetic ancestry is of fundamental interest to many biomed...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
<p>The plot shows two principal components resulting from a principal component analysis performed o...
<p>Plots show the uneven distribution of 16S sequences visualized in sequence space. Coordinates are...
<p>Analyses based on the haplotype frequencies of the mtDNA COI <b>(a)</b> and allele frequencies of...
<p>(a) mtDNA phylogeny; (b) PCA - in this plot grey circles represents PS 5 and diamonds PS 6 respec...
<p>(a) mtDNA phylogeny; (b) PCA - in this plot grey circles represents PS 7 and diamonds-PS 8 respec...
<p>(a) mtDNA phylogeny; (b) PCA - in this plot grey circles represents PS1, diamonds-PS2 and triangl...
<p>The same sets of randomly selected markers were used to generate PCA maps of genetic variation t...
<p>The axes 1 and 2 explained 53% of the variance in distribution of the lake populations (1: Mjöträ...
<p>(a) Multi-Dimensional scaling plot of Fst genetic distances (15 STRs; stress value=0.128); (b) Pr...
Multivariate statistical techniques such as principal components analysis (PCA) and multidimensional...
Principal components analysis, PCA, is a statistical method commonly used in population genetics to ...
Principal components analysis, PCA, is a statistical method commonly used in population genetics to ...
Background. In 2008, several principal component analyses (PCAs) applied on 660,918 single-nucleotid...
Abstract Background Accurate inference of genetic ancestry is of fundamental interest to many biomed...
<p>80,116 SNPs dispersed genome-wide were used. X-axis is principle component 1 and y-axis is princi...
<p>The plot shows two principal components resulting from a principal component analysis performed o...
<p>Plots show the uneven distribution of 16S sequences visualized in sequence space. Coordinates are...
<p>Analyses based on the haplotype frequencies of the mtDNA COI <b>(a)</b> and allele frequencies of...
<p>(a) mtDNA phylogeny; (b) PCA - in this plot grey circles represents PS 5 and diamonds PS 6 respec...
<p>(a) mtDNA phylogeny; (b) PCA - in this plot grey circles represents PS 7 and diamonds-PS 8 respec...
<p>(a) mtDNA phylogeny; (b) PCA - in this plot grey circles represents PS1, diamonds-PS2 and triangl...
<p>The same sets of randomly selected markers were used to generate PCA maps of genetic variation t...
<p>The axes 1 and 2 explained 53% of the variance in distribution of the lake populations (1: Mjöträ...
<p>(a) Multi-Dimensional scaling plot of Fst genetic distances (15 STRs; stress value=0.128); (b) Pr...