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Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome

Figure 2

Accuracy of inferred module abundances and coverages using four synthetic metagenomes.

An evaluation of HUMAnN's performance on a high-complexity mock community with a randomized log-normal distribution of 100 organisms as compared to an approach using the single best BLAST hit for each gene family and direct assignment to metabolic modules. Both A) correlation of inferred abundances (arcsine square root transformed for variance stabilization) and B) partial AUC at 0.1 false positive rate are high, outperforming single best BLAST hit functional reconstruction of microbial communities.

Figure 2