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Table 1 Binning accuracies of our barcode-based clustering algorithm.

From: Barcodes for genomes and applications

 

11 genomes

30 genomes

100 genomes

 

Original genomes

Filtered genomes

Original genomes

Filtered genomes

Original genomes

Filtered genomes

FS = 500 bps

71.10%

77.30%

51. 6%

55.70%

40.50%

41.10%

FS = 1000 bps

79.90%

85.90%

65.30%

70.30%

51.10%

52.60%

FS = 2000 bps

86.30%

91.70%

74.80%

80.60%

61.00%

68.53%

FS = 5000 bps

91.10%

98.10%

86.60%

93.20%

79.40%

81.90%

FS = 10000 bps

95.80%

99.30%

91.90%

97.50%

86.60%

89.18%

  1. The binning accuracy is defined as (prediction specificity + prediction sensitivity)/2, and FS is for f ragment s ize, where both the specificity and sensitivity are measured in terms of putting the fragments into the correct bin corresponding to each genome, defined by the majority of the fragments in the bin. The column "Original genomes" lists the binning accuracy of our algorithm on all the non-overlapping fragments in each group of genomes, and the column "Filtered genomes" gives the accuracy after removing the 10% fragments with the most abnormal barcodes from each genome.