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Table 1 Comparison of all methods and their variants on glocal map-to-sequence alignment

From: OPTIMA: sensitive and accurate whole-genome alignment of error-prone genomic maps by combinatorial indexing and technology-agnostic statistical analysis

Algorithm

Drosophila (A)

Drosophila (B)

Human (A)

Human (B)

 

S

P

S

P

S

P

S

P

OPTIMA

90

100

49

99

83

100

43

98

Gentig v.2 (d)

59

100

24

99

53

96

20

80

Gentig v.2 (tp)

59

100

24

98

54

95

20

88

SOMA v.2 (v)

72

73

31

39

50

50

17

20

Likelihood (d+a)

49

49

29

30

24

24

14

14

Likelihood (d+a+t)

64

65

38

39

33

34

18

19

Likelihood (p+a+t)

75

75

39

39

62

62

19

20

  1. Sensitivity (S) and precision (P) are percentages and the best values across all methods are highlighted in bold. Results are based on the alignment of a subset of 2100 maps, as used in Fig. 4