No NA handling in filter.features
###Summary If NAs are present in the data, the filter.features function does not work at all
###Relevant logs and/or screenshots
+ starting filter.features +++ before filtering, the data has 1127 features +++ applying abundance filter +++ checking for unmapped reads +++ tried to remove unmapped reads, but could not find them. Continue anyway. +++ applying prune_taxa +++ removed 1127 features whose values did not exceed 1e-04 in any sample (retaining 0) Error in validObject(.Object) : invalid class "otu_table" object: OTU abundance data must have non-zero dimensions.
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