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«.

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

Tech and Meinicke BMC Bioinformatics 2006 7:121   doi:10.1186/1471-2105-7-121