The UniFrac distance metric is often used to separate groups in microbiome analysis. but requires a constant sequencing depth to work properly. Here we demonstrate that unweighted UniFrac is highly sensitive to rarefaction instance and to sequencing depth in uniform data sets with no clear structure or separation between groups. We show that this arises because of subcompositional eff... https://allfixelectricales.shop/product-category/inner-door-moulding/
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