Table 6

True Positive Summary

Alignments

Better (count)

Worse (count)

Better (avg. (stdev))

Worse (avg. (stdev))


High Similarity

model trim vs. optimal

10

0

0.018 (0.014)

0


robust trim vs. optimal

8

0

0.019 (0.014)

0


frequency trim vs. optimal

11

0

0.015 (0.013)

0


local trim vs. optimal

15

0

0.024 (0.016)

0


local trim + model trim vs. local

4

6

0.013 (0.010)

-0.009 (0.003)


model alignment vs. optimal

8

3

0.024 (0.031)

-0.008 (0.003)


robust alignment vs. optimal

3

12

0.024 (0.013)

-0.170 (0.170)


frequency alignment vs. optimal

8

1

0.022 (0.030)

-0.012


Medium Similarity

model trim vs. optimal

14

1

0.056 (0.058)

-0.009


robust trim vs. optimal

14

0

0.061 (0.056)

0


frequency trim vs. optimal

13

1

0.053 (0.057)

-0.009


local trim vs. optimal

14

3

0.098 (0.084)

-0.012 (0.005)


local trim + model trim vs. local

9

8

0.061 (0.056)

-0.015 (0.009)


model alignment vs. optimal

10

2

0.039 (0.043)

-0.020 (0.018)


robust alignment vs. optimal

2

19

0.062 (0.000)

-0.250 (0.140)


frequency alignment vs. optimal

8

2

0.045 (0.043)

-0.020 (0.018)


Low Similarity

model trim vs. optimal

12

1

0.054 (0.066)

-0.024


robust trim vs. optimal

17

0

0.051 (0.055)

0


frequency trim vs. optimal

12

1

0.055 (0.066)

-0.024


local trim vs. optimal

18

2

0.110 (0.100)

-0.280 (0.380)


local trim + model trim vs. local

10

3

0.041 (0.065)

-0.013 (0.005)


model alignment vs. optimal

7

2

0.021 (0.014)

-0.034 (0.022)


robust alignment vs. optimal

2

16

0.150 (0.050)

-0.240 (0.170)


frequency alignment vs. optimal

5

3

0.022 (0.016)

-0.029 (0.018)


Numbers shown are the number of sequence pairs, out of 22 in each similarity group, whose percentage of aligned edges that are correct with respect to the Dali alignment are improved or worsened by at least 0.005, along with the average and standard deviation of the magnitude of the difference. In the case of alignments limited to the local alignment boundaries, the Dali alignment is also limited to the local alignment boundaries. Alignments are as described in Table 5.

Sierk et al. BMC Bioinformatics 2010 11:146   doi:10.1186/1471-2105-11-146

Open Data