I would like to make 97% and 99% OTU data sets derived from SILVA 138 data for using “feature-classifier fit-classifier-naive-bayes” command. How should I do to make the OTU data sets? Shoud I use any other tools to align and annotate the sequences?
We’ll have some more news about this near the end of the month. For now, please take a look at this and other related SILVA 138 related forum threads:
I just wanted to let everyone be aware that I’ve hobbled together a simple
pipeline for constructing classifiers based on the SILVA 138 release. I’ve been working on this as time permits, so I apologize in advance for the short-cuts and clunkiness of my approach, but I figured this would be something useful for the community. At least in the short-term .
Anyway, the files will be temporarily available here, until I can find a longer-term hosting solution:
Also, there is no need to make a 97% classifier, unless you are limited by memory and storage space.
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