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. 2017 Jul 19;15:388–395. doi: 10.1016/j.csbj.2017.07.001

Table 3.

Comparison of performance metrics on 5-viral mix HIV-1 dataset.

Algorithm Recall Precision FP/TP ratio # of unique 35-mers
Uncorrected 98.01 0.2 439 11.4 M
BLESS 97.31 0.4 227 5.89 M
Musket 97.91 0.3 366 11.2 M
BFC 97.55 0.3 316 9.6 M
BayesHammer 97.49 0.8 122 6.3M
Seecer 97.84 0.5 220 11.3M
MultiRes 96.64 7.1 13 359 K

The recall, precision, and FP/TP ratios of each method are evaluated on the 5-viral mix HIV-1 dataset. The number of unique 35-mers indicates the number of unique 35-mers predicted by a method. There are 53 thousand true unique 35-mers in the consensus sequences of the 5 viral strains. Bold indicates the best method for the measure in each column.