Estimating error rate across my 16S MiSeq amplicon sequencing

Question

[robert.murphy]

I have a large metagenomic 16S amplicon sequencing dataset and am binning them into ASVs based off a SNP threshold. I want to ensure my binned ASVs are not an artefact of the sequencing error rate.

However I am at a loss as to how I would go about this given there are many parameters that given the error rate for any given run as extensively detailed here

Would anyone have advice on how I can go about determining per amplicon I can expect x number of errors?

[andres.firrincieli]

I have a large metagenomic 16S amplicon sequencing dataset and am binning them into ASVs based off a SNP threshold

How did you get your ASVs? Software like DADA2 or deblur, which perform and ASV-level binning, already try to corrects both PCR and sequencing errors.

Would anyone have advice on how I can go about determining per amplicon I can expect x number of errors?

Did you sequence, along with your samples, a mock community?