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Table 1 TIS prediction accuracy of our algorithm (TICO) in comparison with other post-processing tools. RBSfinder [10], GS-Finder [4] and MED-Start [5] were used as post-processors on the same GLIMMER2.02-prediction as TICO. Accuracy was measured in percent of TIS that were predicted correctly with respect to reference annotations. Datasets are explained in detail in section »Results«.

From: An unsupervised classification scheme for improving predictions of prokaryotic TIS

Dataset total number %detected ORFs % correctly predicted TIS
    GLIMMER MED-Start TICO GS-Finder RBSfinder
EcoGene 854 99.3 63.2 92.0 94.2 90.3 81.9
Link 195 100 66.7 95.4 94.9 92.3 80.0
Bsub 1248 98.6 61.3 89.2 89.4 87.9 78.5
  58 98.3 69.0 94.8 91.4 94.8 82.8
PseudoCAP 3281 97.5 57.8 3.6 85.2 83.6 67.7
R. solanac. chr 3440 97.2 51.5 5.0 74.9 71.4 56.8
R. solanac. plasmid 1676 97.0 48.9 6.0 70.1 66.2 55.5
B. pseudom. chr1 3399 97.7 53.2 5.5 69.6 64.3 53.3
B. pseudom. chr2 2329 97.7 48.9 4.7 67.0 67.5 52.1