Fig. 3: Short-read dataset benchmarks. | Nature Biotechnology

Fig. 3: Short-read dataset benchmarks.

From: Improving metagenome binning by integrating intrinsic features and taxonomy

Fig. 3: Short-read dataset benchmarks.The alternative text for this image may have been generated using AI.

Benchmarking of binning methods across six environments. a, Bar plots show the number of HQ (dark green) and MQ (light green) MAGs recovered by each method. TaxVAMB was used using MMSeqs2 and GTDB. The missing values for Comebin in Human Gut (irritable bowel syndrome (IBS)) and Forest Soil are because of the tool not completing because of an internal error. The values are after reclustering with SCGs and GUNC filtering. b, Scatter plots compare the number of MQ MAGs to domain-level taxonomic accuracy for different classifiers. Spearman correlations between TaxVAMB MAG yield and taxonomic accuracy are indicated for each dataset. The values are without SCGs (no reclustering) and without GUNC filtering.

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