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Table 4 Comparison with the TiCo, MED-Start, GS-Finder, and RBSfinder TIS prediction programs

From: Hon-yaku: a biology-driven Bayesian methodology for identifying translation initiation sites in prokaryotes

Organism (data set)

# of genes

GC content

This method

TiCoa

MED-Starta

GS-Findera

RBSfinder

E. coli (EcoGene)

858

50.8%

93.2%

95.2%

93.0%

91.1%

(81.9%b)

E. coli (Link)

191

 

96.3%

96.9%

96.9%

93.7%

(80.0%b)

B. subtilis (non-y)

1243

43.5%

92.7%

89.7%

91.2%

90.3%

(78.5%b)

B. subtilis

58

 

96.6%

91.4%

96.6%

96.6%

(82.8%b)

P. aeruginosa

347

66.6%

92.8%

90.5%

67.1%

91.1%

-

B. pseudomallei

238

68.1%

89.9%

86.6%

3.4%

87.8%

-

H. arsenicoxydans

162

54.3%

92.6%

-

87.7%

89.5%

-

  1. aWe used the longest ORFs as input data.
  2. bThe accuracies are from previously published results [22].