Fig. 1From: Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studiesSpike-in approach and analysis flowchart. Left, a theoretical sample where the count data for OTU A is multiplied by 3 before rescaling to original sequencing depth. Right, flowchart of the simulation study, yielding FPR and AUC for each method, dataset, and set of variables, as well as R 2 values for all combinations of normalization, transformation, and distance in the beta-diversity optimizationBack to article page