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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].