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Table 5 Detection of long ncRNAs using scanning windows.

From: Detection of non-coding RNAs on the basis of predicted secondary structure formation free energy change

 

percent identity of entire alignment

total number of scanning windows

number of scanning windows with P> 0.5

number of scanning windows with P> 0.9

number of scanning windows with P> 0.99

16S rRNA

Borrelia burgdorferi and Bacillus subtilis

74.5%

30

17

12

6

Homo sapiens (mitochondrial) and Thermotoga maritima

39.3%

30

1

1

0

Archaeoglobus fulgidus and Borrelia burgdorferi

61.8%

30

22

17

14

23S rRNA

Escherichia coli and Thermoplasma acidophilum

59.4%

57

49

41

37

Bacillus subtilis and Bos taurus

37.1%

57

35

26

21

Bacillus subtilis and Thermoproteus tenax

60.1%

61

3

2

1

  1. The Dynalign/LIBSVM classifier is used to compute P values for sets of 150-nucleotide scanning windows iterating (in steps of 75 nucleotides) through global alignments of three 16S and three 23S rRNA pairs randomly selected from a database [48]. The quantity of windows above three P value cutoffs is listed, indicating that long ncRNAs can be detected with short scanning windows.