Abstract Microbiomes are of vital importance for understanding human and environmental health. However, quantifying microbial composition remains challenging and relies on statistical modeling of either the raw taxonomic counts or the relative abundances. Relative abundance measures are commonly preferred over the absolute counts to analyze and interpret microbiome (as the sampling fraction are unknown in sequence data) but currently there is no ideal distribution for carrying out this modeling .