I have a very short question: I am using the q2picrust2 for predicting the functional attributes of my dataset (I prefer picrust2 to Tax4Fun and Piphillin because it is more well-cited): I am using the code on the q2 picrust2 Tutorial · picrust/picrust2 Wiki · GitHub
qiime picrust2 full-pipeline \ --i-table mammal_biom.qza \ --i-seq mammal_seqs.qza \ --output-dir q2-picrust2_output \ --p-threads 1 \ --p-hsp-method mp \ --p-max-nsti 2 \ --verbose
I read that PICRUST only works for GG database, however, from the code, I realize there is no taxonomy.qza file as input, so does it matter if I have used SILVA or GG for my taxonomic annotations? I mean, the functional attributes for the various samples should be independent of taxonomic attributes, no?
A separate question: Can anyone here please suggest some good visual graphic tools to display functional data? I am afraid I am inexperienced in this, so some help would be really appreciated