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The analysis of the huge amount of generated sequence data as well as pyrosequencing noise and chimeric sequences originating from PCR amplification pose a considerable challenge to the individual researcher in doing microbiome studies. The unbiased knowledge about microbial community composition and -structure as well as the interactions with the human host microbiome can give important insights into its role in human health and disease. Here we introduce SnoWMAn, the high-throughputdoi:10.1515/bmt-2013-4312 pmid:24042957 fatcat:prctc4hoa5h5xcmcehpiqi5djy