Hi everyone!
I have 16S amplicons from plant rhizosphere and ran those through QIIME2. Then ran PICRUST2 on the feature table to predict community functions.
I already ran ANCOM-BC on the feature table I got from QIIME2, but to explore the data further I want to run a differential abundance analysis on the PICRUSt2 output. Would it be adequate to use ANCOM-BC for this?
As far as I understand, ANCOM-BC relies on certain assumptions, and I don't know if the PICRUSt2 output data follows those.
Also while searching info about this I found the ggpicrust2 R package that explicitly mentions it excludes ANCOM and ANCOM-BC, but doesn't explain why.
If ANCOM-BC is not suitable for this could someone recommend me an alternative?