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Table 2 Sensitivity and specificity of filtering software over different error types

From: Evaluating the usefulness of alignment filtering methods to reduce the impact of errors on evolutionary inferences

sensitivity

prokaryotic MSAs

eukaryotic MSAs

 

frameshifts

scrambled

insertions

frameshifts

scrambled

insertions

HmmCleaner

96.95%

96.24%

99.24%

95.99%

96.26%

99.34%

PREQUAL

93.13%

96.77%

99.83%

85.64%

97.34%

99.95%

BMGE

16.00%

19.23%

97.55%

8.57%

12.57%

96.16%

OD-seq

20.11%

25.09%

59.89%

8.08%

9.34%

59.80%

GUIDANCE2

4.90%

5.37%

0.25%

2.33%

3.25%

1.69%

specificity

prokaryotic MSAs

eukaryotic MSAs

 

frameshifts

scrambled

insertions

frameshifts

scrambled

insertions

HmmCleaner

87.28%

87.24%

85.64%

94.70%

94.70%

94.63%

PREQUAL

92.80%

92.78%

92.76%

94.77%

94.65%

94.59%

BMGE

91.01%

90.88%

91.10%

97.05%

96.93%

96.94%

OD-seq

94.48%

94.46%

92.55%

95.20%

95.25%

94.90%

GUIDANCE2

99.55%

99.48%

99.85%

98.47%

98.35%

98.51%