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.