Fig. 7

Impact of filtering out predicted low-abundance taxa using context-dependent adaptive thresholds on taxonomic profilers’ performance. The correlation between Shannon indices calculated from benchmarking datasets, gold standards, and the outputs of each tool (A). Bar plot showing the wsr of scores calculated by using three metrics (F1 score, L1 norm, and weighted UniFrac) without and with filtering out of low-abundance species by using context-dependent adaptive thresholds. Colors in the bars highlight the contribution of each metric to the final wsr. Taxonomic profiling pipelines are sorted from the lowest (best) to the highest (worst) wsr. The heatmap represents the wsr obtained without and with filtering out of low-abundance species by using context-dependent adaptive thresholds for each taxonomic profiler per group of benchmarking datasets (B). Bar plot showing the difference in wsr obtained without and with filtering out of low-abundance species by using context-dependent adaptive thresholds. The color and orientation of the bar illustrate the directionality of the difference (C)