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Table 3 The F-measures of MetaCluster 5.0, AbundanceBin and BiMeta on samples from S1 to S10

From: A two-phase binning algorithm using l-mer frequency on groups of non-overlapping reads

Samples

MetaCluster 5.0

AbundanceBin

BiMeta

S1

67.11%

-

98.02%

S2

88.68%

72.63%

60.14%

S3

71.98%

83.53%

97.72%

S4

77.20%

-

99.35%

S5

80.08%

56.38%

89.32%

S6

88.74%

64.24%

99.29%

S7

91.04%

58.49%

77.24%

S8

57.94%

47.87%

70.27%

S9

67.56%

27.92%

77.01%

S10

52.17%

4.95%

65.37%

  1. The symbol “-” indicates that the approaches fail to classify reads on the samples.BiMeta achieves higher F-measure in comparison with that of MetaCluster 5.0 and AbundanceBin for 8 out of 10 samples, while MetaCluster 5.0 gets the highest value for sample S2 and S7 in comparison with that of the remaining approaches.