Please see the following post for details about training SILVA 128 feature classifiers:
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I created Silva 128 99% OTU classifiers trained on full length sequences and on the 515F/806R region only. These are derived from the QIIME-compatible SILVA release for SILVA 128.
The most relevant files are:
silva-128-99-nb-classifier.qza: trained on full-length 99% OTU representative sequences, and the
silva-128-99-515-806-nb-classifier.qza: trained on 99% OTU representative sequences, trimmed to the region bound by the 515/806 primers, , and the
Those are prepared in the same way that we prepared classifiers for the SILVA 119 release.
For experimental purposes, I also trained these classifiers on the the
SILVA_128_QIIME_release/taxonomy/taxonomy_all/99/majority-taxonomy-7-levels.txt and the
SILVA_128_QIIME_release/taxonomy/taxonomy_all/99/consensus-taxonomy-7-levels.txt files, to experiment with these. These are files that collapse the full SILVA taxonomy to exactly seven levels (domain, phylum, class, order, family, genus, and species), so may be easier to interpret than the others. I’m interested to hear whether folks think these files are useful.