<p>Percentage of the diversity distribution explained by each axis is indicated on the fig.</p
Beta diversity calculated as unweighted UniFrac and represented as a Principal Coordinates Analysis ...
<p>Community analysis using principal coordinate analysis (PCoA) of weighted UniFrac distance matrix...
<p>(a, c) Open and closed circles indicate individual subjects from HC40 and MS20, respectively. (a)...
<p>The variance explained by each principal coordinate axis is shown in parentheses. Datasets were s...
<p>The variance explained by each principal coordinate axis is shown in parentheses. Datasets were s...
<p>Principal coordinate analysis (PcoA) plot of samples using the unweighted UniFrac distance metric...
<p>A) all samples and B) lower GI only. The percent variation explained by the principal coordinates...
<p>16s rRNA sequences are binned according to sample source using a category mapping file. The perce...
<p>The plots show each combination of the first three principal coordinates. Red (square): control; ...
<p>The first two principal coordinates explain approx. 50% of the variation. (A) Samples coded by ci...
<p>The first two coordinates explain 9.27% and 7.90% of the observed variation, respectively.</p
<p>PCoA is a Multidimensional Scaling Method that allows to explore and to visualize dissimilarities...
<p>The amount of variation explained for each axis is indicated in percentages. Samples are grouped ...
<p>PCoA plots of weighted (A) and unweighted (B) UniFrac distance matrices. Each dot represents the ...
<p>Percentages of variance explained by each principal coordinate (P1 and P2) are shown on the x- an...
Beta diversity calculated as unweighted UniFrac and represented as a Principal Coordinates Analysis ...
<p>Community analysis using principal coordinate analysis (PCoA) of weighted UniFrac distance matrix...
<p>(a, c) Open and closed circles indicate individual subjects from HC40 and MS20, respectively. (a)...
<p>The variance explained by each principal coordinate axis is shown in parentheses. Datasets were s...
<p>The variance explained by each principal coordinate axis is shown in parentheses. Datasets were s...
<p>Principal coordinate analysis (PcoA) plot of samples using the unweighted UniFrac distance metric...
<p>A) all samples and B) lower GI only. The percent variation explained by the principal coordinates...
<p>16s rRNA sequences are binned according to sample source using a category mapping file. The perce...
<p>The plots show each combination of the first three principal coordinates. Red (square): control; ...
<p>The first two principal coordinates explain approx. 50% of the variation. (A) Samples coded by ci...
<p>The first two coordinates explain 9.27% and 7.90% of the observed variation, respectively.</p
<p>PCoA is a Multidimensional Scaling Method that allows to explore and to visualize dissimilarities...
<p>The amount of variation explained for each axis is indicated in percentages. Samples are grouped ...
<p>PCoA plots of weighted (A) and unweighted (B) UniFrac distance matrices. Each dot represents the ...
<p>Percentages of variance explained by each principal coordinate (P1 and P2) are shown on the x- an...
Beta diversity calculated as unweighted UniFrac and represented as a Principal Coordinates Analysis ...
<p>Community analysis using principal coordinate analysis (PCoA) of weighted UniFrac distance matrix...
<p>(a, c) Open and closed circles indicate individual subjects from HC40 and MS20, respectively. (a)...
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