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Table 2 Performance and feature recovery of a classical approach versus Genes method of MEvoLib for four sets of hmtDNA sequences

From: MEvoLib v1.0: the first molecular evolution library for Python

Num. Seqs.

Configurations

Time (s)

Mem. (MB)

CDS feat.

rRNA feat.

tRNA feat.

100

Gene

1.56

32.37

26

(+13)

3

(+1)

21

(-1)

100

Product

1.41

32.33

18

(+5)

2

(0)

20

(-2)

100

All

1.42

32.46

15

(+2)

2

(0)

20

(-2)

1000

Gene

13.15

91.42

26

(+13)

5

(+3)

43

(+21)

1000

Product

12.71

92.06

22

(+9)

4

(+2)

20

(-2)

1000

All

13.74

92.63

15

(+2)

2

(0)

20

(-2)

10000

Gene

127.95

687.63

31

(+18)

5

(+3)

45

(+23)

10000

Product

171.80

692.59

34

(+21)

4

(+2)

20

(-2)

10000

All

136.91

700.73

13

(0)

2

(0)

20

(-2)

31752

Gene

412.22

2126.83

33

(+20)

5

(+3)

46

(+24)

31752

Product

467.78

2144.32

51

(+38)

6

(+4)

20

(-2)

31752

All

509.78

2177.28

13

(0)

2

(0)

20

(-2)

  1. The recovered features are CDS, rRNA and tRNA. The classical approach uses the qualifiers gene or product separately, whilst the Genes method exploits all of them. The second column of each feature shows the result’s divergence from the expected value