I have used
qiime feature-classifier classify-sklearn to classify my reads with the pre trained classifier
silvia-138-99-classifier-nb.qza found here (I used pre-trained as I had some problem training my own classifier similar to those discussed here.
I am assigning taxonomy to my ASVs after merging all 18 batches. However due to some issue with a lack of shared features across samples, discussed here, I have later clustered my ASVs at 100 and 99%. Is it possible to use this previous
taxonamy.qza on the later clustered feature tables?
I ask as feature names are all done by hashes of the sequences so i assume after clustering those hashes might change, or are just the centroid features kept and thus those hashes will still match those in the