<p>(A) PC1 and PC2 are plotted on <i>x</i>- and <i>y</i>-axes. Each point corresponds to a community colored according to thiopurine use. All samples are shown. The percentage of variation explained by the plotted principal coordinates is indicated on the axes. (B) PC1 and PC3 are plotted on x- and y-axis. Each point corresponds to a community colored according to disease location. Only samples from UC patients are included.</p
<p>Unweighted PCoA on Qualitative measures and weighted PCoA on Quantitative measures illustrates th...
<p>PCoA plot showing good clustering of pairs of samples originating from the same patient. Points i...
<p>After calculating the axes, the samples are faceted into their corresponding regions. The dashed ...
<p>Community analysis using principal coordinate analysis (PCoA) of weighted UniFrac distance matrix...
<p>The first two principal coordinates (PC) of Unweighted (A) and Weighted (B) UniFrac-based princip...
<p>PCoA plots of weighted (A) and unweighted (B) UniFrac distance matrices. Each dot represents the ...
<p>A) PCoA of microbial community structures using weighted and normalized UniFrac phylogenetic dist...
<p>Clustering of study subjects using principal coordinates analysis (PCoA) based on unweighted UniF...
<p>PCoA is a Multidimensional Scaling Method that allows to explore and to visualize dissimilarities...
<p>The x-axis indicates time, the y-axis indicates the value of the first principal coordinate, a su...
<p>Unweighted UniFrac and weighted UniFrac principal coordinates were generated and plotted using QI...
<p>EMIRGE-reconstructed rRNA genes were used to construct a phylogenetic tree. From this tree, pairw...
<p>The first two coordinates explain 9.27% and 7.90% of the observed variation, respectively.</p
Sample from initial inoculums are showed with squares. Sample from BTF1 are showed with circles. Sam...
<p>The variance explained by each principal coordinate axis is shown in parentheses. Datasets were s...
<p>Unweighted PCoA on Qualitative measures and weighted PCoA on Quantitative measures illustrates th...
<p>PCoA plot showing good clustering of pairs of samples originating from the same patient. Points i...
<p>After calculating the axes, the samples are faceted into their corresponding regions. The dashed ...
<p>Community analysis using principal coordinate analysis (PCoA) of weighted UniFrac distance matrix...
<p>The first two principal coordinates (PC) of Unweighted (A) and Weighted (B) UniFrac-based princip...
<p>PCoA plots of weighted (A) and unweighted (B) UniFrac distance matrices. Each dot represents the ...
<p>A) PCoA of microbial community structures using weighted and normalized UniFrac phylogenetic dist...
<p>Clustering of study subjects using principal coordinates analysis (PCoA) based on unweighted UniF...
<p>PCoA is a Multidimensional Scaling Method that allows to explore and to visualize dissimilarities...
<p>The x-axis indicates time, the y-axis indicates the value of the first principal coordinate, a su...
<p>Unweighted UniFrac and weighted UniFrac principal coordinates were generated and plotted using QI...
<p>EMIRGE-reconstructed rRNA genes were used to construct a phylogenetic tree. From this tree, pairw...
<p>The first two coordinates explain 9.27% and 7.90% of the observed variation, respectively.</p
Sample from initial inoculums are showed with squares. Sample from BTF1 are showed with circles. Sam...
<p>The variance explained by each principal coordinate axis is shown in parentheses. Datasets were s...
<p>Unweighted PCoA on Qualitative measures and weighted PCoA on Quantitative measures illustrates th...
<p>PCoA plot showing good clustering of pairs of samples originating from the same patient. Points i...
<p>After calculating the axes, the samples are faceted into their corresponding regions. The dashed ...