Great work, I will probably move all my pipelines to gg2 soon.
Can you please give usage example for python users?
from q2_gg2 import non_v4_16s
but it requires "ctx" which I don't know how to provide.
I have V3-V4 reads and went with non-v4-16s route.
Another point which I didn't understand is,
inputs include table and sequences artifacts. I assume we could use something like table.qza and rep-seqs.qza from moving pictures tutorial.
classify-sklearn using only rep-seqs, why do we need a table here?
When writing this question, it came to my mind that the mapped-table artifact probably contains both sequence and frequency data, which will be use for all subsequent analyses, phlylogenetic and taxonomic, so we get rid of rep-seqs here. Is my understanding correct?