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Table 1 Average adjacency reconstruction, in terms of true positives (TP) and false positives (FP) for all tested algorithms, for all datasets grouped by tree diameter

From: Fast ancestral gene order reconstruction of genomes with unequal gene content

Diameter (D)

0.5 n

1.0 n

1.5 n

2.0 n

2.5 n

Adjacency results (%)

TP

FP

TP

FP

TP

FP

TP

FP

TP

FP

Unitary Indels

          

RINGO – Sim. branch lengths

99.8

0.2

99.1

0.7

94.0

3.1

87.9

4.3

81.8

5.5

RINGO – Est. branch lengths with ME

99.8

0.2

99.0

0.7

93.7

3.0

87.7

4.1

80.6

5.6

RINGO – Est. branch lengths with LS

99.8

0.2

99.0

0.7

93.4

3.0

86.7

4.1

80.7

5.4

RINGO – DeClone weights, k T=0.1

99.6

0.6

98.1

2.0

92.1

7.8

86.9

8.7

80.7

11.0

RINGO – DeClone weights, k T=0.4

99.6

0.6

98.1

1.9

92.5

9.1

88.4

9.9

82.7

16.8

RINGO – DeClone weights, k T=0.8

99.2

1.2

97.5

2.9

91.8

9.9

88.0

10.5

82.5

17.1

MLGO

99.6

0.3

98.6

1.3

94.6

5.0

91.8

7.8

85.6

13.8

MGRA

99.9

0.0

99.3

0.5

95.1

3.5

85.8

12.8

70.4

26.7

Indel length [1,5]

          

RINGO – Sim. branch lengths

99.4

0.3

96.7

1.4

92.0

2.6

73.8

6.2

81.0

4.9

RINGO – Est. branch lengths with ME

99.4

0.3

96.6

1.4

91.6

2.6

71.8

5.8

79.5

4.3

RINGO – Est. branch lenghts with LS

99.4

0.2

96.7

1.4

91.4

2.6

70.2

5.1

77.0

3.8

RINGO – DeClone weights, k T=0.1

99.3

0.7

95.4

5.7

90.6

10.4

72.0

14.1

79.3

13.4

RINGO – DeClone weights, k T=0.4

99.3

0.7

95.7

5.7

91.3

11.0

75.2

19.9

82.1

16.9

RINGO – DeClone weights, k T=0.8

99.1

1.1

95.1

6.8

90.7

12.3

74.9

20.3

81.9

17.4

MLGO

98.9

0.7

95.9

3.7

90.6

7.0

75.0

15.9

81.7

13.8

MGRA

99.3

0.3

99.7

0.3

94.8

3.8

65.5

34.5

57.4

42.4

  1. RINGO algorithm was tested with the InferCARs adjacency weights, using the simulated tree branch lengths and with branch lenghts estimated with Minimum Evolution or Least Squares methods. RINGO was also ran with DeClone weights, with varying kT values