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Table 2 Alignment and tree accuracy metrics for all methods on 1,000 sequences

From: Scaling statistical multiple sequence alignment to large datasets

     

Delta-RF

Data

Method

Prec.

Rec.

TC

RAxML

FT-2

Indelible

P(Default)

95.1 %

94.6 %

4.5 %

1.86 %

0.68 %

M2

P+BAli-Phy

98.7 %

98.7 %

14.6 %

0.29 %

-0.72 %

 

P+MAFFT-L

97.2 %

97.0 %

6.8 %

0.75 %

-0.20 %

 

MAFFT-L

80.2 %

75.0 %

1.4 %

15.73 %

8.74 %

 

MAFFT-def

1.0 %

0.4 %

0.0 %

(not run)

(not run)

RNAsim

P(default)

90.3 %

90.4 %

3.5 %

0.56 %

0.33 %

 

P+BAli-Phy

92.1 %

92.1 %

8.5 %

0.70 %

0.42 %

 

P+MAFFT-L

88.8 %

89.0 %

3.9 %

0.34 %

0.45 %

 

MAFFT-L

91.8 %

91.5 %

2.9 %

0.73 %

6.47 %

 

MAFFT-def

83.7 %

71.5 %

1.4 %

(not run)

(not run)

Rose L1

P(default)

90.9 %

90.6 %

15.9 %

2.07 %

2.24 %

 

P+BAli-Phy

91.8 %

91.7 %

33.2 %

1.47 %

1.51 %

 

P+MAFFT-L

90.0 %

89.8 %

21.8 %

1.98 %

2.00 %

 

MAFFT-L

84.1 %

76.6 %

6.4 %

3.45 %

3.15 %

 

MAFFT-def

1.1 %

0.4 %

0.0 %

(not run)

(not run)

Rose M1

P(default)

79.7 %

79.0 %

9.0 %

5.35 %

6.26 %

 

P+BAli-Phy

79.8 %

79.6 %

24.4 %

4.70 %

5.45 %

 

P+MAFFT-L

78.6 %

78.2 %

12.9 %

5.96 %

5.89 %

 

MAFFT-L

74.9 %

63.3 %

3.0 %

3.64 %

3.90 %

 

MAFFT-def

1.2 %

0.5 %

0.0 %

(not run)

(not run)

Rose S1

P(default)

85.3 %

85.1 %

2.8 %

3.94 %

4.29 %

 

P+BAli-Phy

84.3 %

84.3 %

10.3 %

2.26 %

3.59 %

 

P+MAFFT-L

83.5 %

83.3 %

4.8 %

3.55 %

4.38 %

 

MAFFT-L

76.2 %

68.2 %

0.5 %

3.80 %

3.79 %

 

MAFFT-def

1.2 %

0.5 %

0.0 %

(not run)

(not run)

  1. Note that precision, recall and TC are accuracy metrics (so larger is better) but Delta-RF is an error metric (so smaller is better). Metrics are averages over 10 replicates. Method names have been shortened slightly for space: P(default) refers to PASTA(default), P+(...) is shorthand for PASTA+(...), MAFFT-def refers to default MAFFT, and MAFFT-L refers to MAFFT L-INS-i. Bold numbers indicate best performing method