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Table 4 Homology coverage performance for global and local homologies of different evolutionary models implemented under the e2msa local alignment algorithm

From: Parameterizing sequence alignment with an explicit evolutionary model

 

Homology Coverage

 

[AUC for F measure (%)]

Method

Global homology set

Local homology set

 

parameterization

parameterization

 

short

long

optimal

short

long

optimal

e2msa.afg

74.3

86.9

86.7

69.5

73.9

78.2

e2msa.aga

74.4

87.3

86.5

69.6

73.1

78.0

e2msa.aif

74.0

86.8

86.6

69.5

74.3

78.2

e2msa.tkf92

74.6

86.5

86.0

69.4

73.8

77.7

e2msa.afr

74.6

86.4

86.0

69.3

73.6

77.5

e2msa.aali

73.9

86.7

85.4

69.6

73.3

77.6

e2msa.tkf91

72.8

79.6

78.0

67.7

72.0

72.6

SSEARCH (BLOSUM62, -11/-1)

 

86.7

  

77.1

 

PHMMER (no filters)

 

83.3

  

76.7

 

NCBIBLAST

 

85.0

  

72.7

 

MSAProbs

 

99.3

  

NA

 

MUSCLE

 

99.3

  

NA

 
  1. In bold, we indicate the best performing of the three alternative parameterizations