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Table 3 FINE/GOOD/EXCELLENT comparison on CFTR dataset

From: Lossless filter for multiple repeats with bounded edit distance

d

q

p

selectiveness (%)

running time(s)

Good-Fine

Excellent-Good

Excellent-Fine

   

Fine

Good

Excel

FINE

GOOD

Excel

SU

SI

SD

SI

SD

SI

 

8

13

13.84

5.10

1.36

123

116

131

1.055

2.71

1.129

3.76

1.070

10.21

 

7

24

12.85

1.91

0.05

371

370

385

1.003

6.71

1.041

41.90

1.037

281.28

10

6

35

14.28

0.89

0.01

1286

1292

1326

0.995

16.05

1.026

81.23

1.031

1304.19

 

5

46

21.92

0.65

0.00

5080

5138

5183

0.989

33.95

1.009

235.94

1.020

8011.07

 

4

57

57.96

1.02

0.00

13441

13362

13564

1.006

56.77

1.015

391.15

1.009

22208.66

 

7

10

50.85

24.51

13.50

405

382

468

1.059

2.07

1.223

1.81

1.155

3.76

12

6

23

28.09

3.99

0.13

1274

1262

1338

1.009

7.04

1.060

30.37

1.051

214.04

 

5

36

36.84

2.30

0.04

4972

4952

5055

1.004

16.02

1.021

53.37

1.017

855.33

 

4

49

85.10

3.53

0.02

13834

13612

13676

1.016

24.08

1.004

162.60

0.988

3916.57

 

6

11

99.63

96.79

85.71

1609

1405

2159

1.145

1.02

1.536

1.12

1.342

1.16

14

5

26

75.19

12.46

0.35

5017

4794

5080

1.047

6.03

1.060

35.70

1.013

215.46

 

4

41

99.68

25.08

0.08

14290

13969

14112

1.023

3.97

1.010

299.49

0.988

1190.06

        

mean

1.029

14.70

1.094

111.54

1.060

3184.32

  1. Measures for FINE/GOOD/EXCELLENT on the CFTR dataset with different parameters sets (L, r = 100,5) with large errors d and different values of q. Recall that SD, SU and SI stand for speed-up, slowdown and selectiveness improvement respectively.