Table 2.

The precision and recall of MetaGO for the simulated dataset using different k-mer lengths.

k-mer length		10 (%)	20 (%)	30 (%)	40 (%)	50 (%)	60 (%)
Logicalized k-mers	Precision	–∗	99.03	99.05	99.11	99.45	99.35
	Recall	–∗	89.79	92.16	98.89	97.01	95.23
Numercial k-mers	Precision	99.63	96.81	96.07	97.72	98.22	98.58
	Averaged recall	23.89	95.70	97.93	98.00	96.82	94.76

The “averaged recall” in numerical k-mers is the average of the recall of B. caccae ATCC 43185 genome and the recall of the common regions between strain B. thetaiotaomicron 7330 and B. thetaiotaomicron VPI-5482. ^∗When k = 10, there is no logicalized k-mer identified, so it is marked with “–”.