Hello @tamardigrade
The min_abundance filter drops bugs that don’t have enough samples above the specified value in the unnormalized input data.
The min abundance and min prevalence checks occur before normalization so it will use whatever type of data you use as the input.
Thanks,
Jacob Nearing