Hi @suzukik!
Great question, there’s a few steps to this:
-
Use
qiime feature-table relative-frequency
to generate the table forpcoa-biplot
. You need this to be based on the rarefied table you are using for yourbeta
andpcoa
steps. You can use provenance to prove that you’re using the same rarefied table in bothrelative-frequency
andpcoa
-
Run
pcoa-biplot
with that table and an existingPCoAResults
(generated by your previouspcoa
). -
Use
qiime emperor biplot
with--m-feature-metadata-file
set to yourFeatureData[Taxonomy]
artifact. This will let you color the biplot vectors by taxonomy (it’s at the bottom of the normal color dropdown in the Emperor UI).
Abstractly the pipeline looks like this:
`rarefy` ---> `beta` -> `pcoa` -> `pcoa-biplot` -> `emperor biplot`
\-> `relative-frequency`--/ /
taxonomy.qza -/