<p>PCoA plots of weighted (A) and unweighted (B) UniFrac distance matrices. Each dot represents the bacterial community composition of one individual stool sample. Axis titles indicate the percentage variation explained.</p
<p>A) all samples and B) lower GI only. The percent variation explained by the principal coordinates...
<p>(A) PC1 and PC2 are plotted on <i>x</i>- and <i>y</i>-axes. Each point corresponds to a community...
<p>A) Qualitative information used to generate principal coordinates enables for clear clustering ac...
<p>Based on Jaccard index distances measuring dissimilarity of OTU-level microbiota composition betw...
<p>(A) Similarity relations among the 76 bacterial community samples. Plots were generated using the...
Bray-Curtis dissimilarities between samples were calculated at the genus level after normalizing rea...
Sample from initial inoculums are showed with squares. Sample from BTF1 are showed with circles. Sam...
<p>After calculating the axes, the samples are faceted into their corresponding regions. The dashed ...
UniFrac principal coordinate analysis (PCoA) plots of 16S sequencing data for (A) unweighted data by...
<p>Samples are grouped by intervention (A) and disease (B). Dots represent microbiota composition (a...
<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>Principle coordinate analysis (PCoA) plot was generated based on the calculated distances in an u...
<p>PCoA plot showing good clustering of pairs of samples originating from the same patient. Points i...
<p>PCoA plots showing less defined clustering of samples, each colored according to the sample type ...
<p>A) all samples and B) lower GI only. The percent variation explained by the principal coordinates...
<p>(A) PC1 and PC2 are plotted on <i>x</i>- and <i>y</i>-axes. Each point corresponds to a community...
<p>A) Qualitative information used to generate principal coordinates enables for clear clustering ac...
<p>Based on Jaccard index distances measuring dissimilarity of OTU-level microbiota composition betw...
<p>(A) Similarity relations among the 76 bacterial community samples. Plots were generated using the...
Bray-Curtis dissimilarities between samples were calculated at the genus level after normalizing rea...
Sample from initial inoculums are showed with squares. Sample from BTF1 are showed with circles. Sam...
<p>After calculating the axes, the samples are faceted into their corresponding regions. The dashed ...
UniFrac principal coordinate analysis (PCoA) plots of 16S sequencing data for (A) unweighted data by...
<p>Samples are grouped by intervention (A) and disease (B). Dots represent microbiota composition (a...
<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>Principle coordinate analysis (PCoA) plot was generated based on the calculated distances in an u...
<p>PCoA plot showing good clustering of pairs of samples originating from the same patient. Points i...
<p>PCoA plots showing less defined clustering of samples, each colored according to the sample type ...
<p>A) all samples and B) lower GI only. The percent variation explained by the principal coordinates...
<p>(A) PC1 and PC2 are plotted on <i>x</i>- and <i>y</i>-axes. Each point corresponds to a community...
<p>A) Qualitative information used to generate principal coordinates enables for clear clustering ac...