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Table 1 The performance of MEGAN, SOrt-ITEMS and SeMeta on the simulated datasets at different taxonomic levels - The scenario of known species

From: A novel semi-supervised algorithm for the taxonomic assignment of metagenomic reads

Method

 

Species

Genus

Family

Order

Class

  

level

level

level

level

level

Dataset ds1

      

MEGAN

S e n. A

56.9 %

69.13 %

69.47 %

71.34 %

71.79 %

 

P r e. A

67.83 %

82.42 %

82.82 %

85.06 %

85.59 %

SOrt-ITEMS

S e n. A

N/A

37.83 %

38.91 %

39.87 %

48.84 %

 

P r e. A

N/A

45.83 %

47.14 %

48.31 %

59.17 %

SeMeta

S e n. A

67.02 %

72.96 %

72.99 %

73.27 %

75.19 %

 

P r e. A

67.87 %

73.89 %

73.92 %

74.21 %

76.15 %

Dataset ds2

      

MEGAN

S e n. A

46.78 %

74.94 %

75.71 %

75.85 %

77.42 %

 

P r e. A

58.29 %

93.36 %

94.33 %

94.49 %

96.46 %

SOrt-ITEMS

S e n. A

N/A

58.51 %

60.7 %

60.8 %

71.91 %

 

P r e. A

N/A

74.76 %

77.56 %

77.69 %

91.89 %

SeMeta

S e n. A

76.24 %

86.01 %

86.09 %

86.11 %

90.5 %

 

P r e. A

77.1 %

86.98 %

87.07 %

87.09 %

91.52 %

Dataset ds3

      

MEGAN

S e n. A

36.82 %

49.55 %

57.54 %

58.1 %

61.68 %

 

P r e. A

42.91 %

57.76 %

67.07 %

67.73 %

71.89 %

SOrt-ITEMS

S e n. A

N/A

34.88 %

50.12 %

55.96 %

63.2 %

 

P r e. A

N/A

42.48 %

61.04 %

68.15 %

76.97 %

SeMeta

S e n. A

61.03 %

68.33 %

76.57 %

77.07 %

81.14 %

 

P r e. A

70.45 %

78.88 %

88.39 %

88.97 %

93.67 %

  1. N/A = Not Available. The bold values indicate the best results among the algorithms in the aspect of s e n s i t i v i t y A (S e n. A ) or p r e c i s i o n A (P r e. A )