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. 2007 Apr 22;35(9):3100–3108. doi: 10.1093/nar/gkm160

Table 3.

Evaluation of spotter and full model predictions.

Kingdom Type Number of model predictions Full model scores T99 Pmin


Full Spotter FPS Min Q1 Med Q3 Max
Archaea 5S 47 35 7 2.9 12.7 20.0 35.3 50.6 34.9 0.69
16S 47 47 0 1180.8 1891.9 1937.9 2004.0 2096.5 <0 1.0
23S 46 46 1 2240.7 2714.1 2870.7 3155.3 3267.3 <0 1.0
Bacteria 5S 1339 1339 123 39.9 77.7 89.5 94.6 109.6 14.0 1.0
16S 1237 1237 31 721.9 1905.5 1989.4 2058.7 2148.5 <0 1.0
23S 1248 1248 20 2502.8 3267.8 3586.5 3690.7 3876.1 <0 1.0
Eukaryotes 5S 324 324 251 43.9 51.1 53.9 74.3 82.2 <0 1.0
18S 13 13 14 625.3 625.3 1733.1 1777.5 1777.6 <0 1.0
28S 19 19 5 1434.2 2904.7 3225.0 3335.9 3380.9 <0 1.0

This table shows the total number of full models, the number of spotter predictions that had matching full model predictions and the number of false positive spotter model predictions. The characteristics of the full model prediction score distributions are shown. FPS denotes the number of false positive spotter predictions. T99 refers to the lowest score a full model could have while still being detected with 99% probability by a spotter model with positive score. Pmin is the probability that a spotter with positive score would find a full model with the minimum score indicated. The lowest score for a full model score can be used as a lower limit on which results could be expected to be real.