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Update workflow (microbiome#616)
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@TuomasBorman
TuomasBorman authored Sep 5, 2024
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Expand Up @@ -277,7 +277,8 @@ To explore these dissimilarities, we use Principal Coordinate Analysis (PCoA),
a technique that reduces the complexity of high-dimensional data by projecting
it into a lower-dimensional space while preserving the dissimilarities
(or distances) between samples. This enables us to visualize the relationships
and differences between samples in a simplified manner.
and differences between samples in a simplified manner. For more information,
refer to [@sec-community-similarity].

In this analysis, we use UniFrac dissimilarity, which takes into account
the phylogenetic relationships among taxa. UniFrac measures the phylogenetic
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