Table 6.
Evaluation on rigid gap motifs on Prosite datasets.
| PS entry | Motif | Total Motifs | NumSeqs | Abs. Supp | Supp Rank | IG | Pratt | LogOdd | Zscore |
| PS00084 | HHM..F.C | 206 | 13 | 10 | 1 | 4 | 54 | 3 | 3 |
| PS00927 | PGGRF.E.Y.WD.Y | 60 | 32 | 32 | 5 | 2 | 1 | 2 | 2 |
| PS01142 | GTLW.G...........L....W | 419 | 5 | 4 | 1 | 3 | 198 | 3 | 3 |
| PS00780 | NHT.C.C.TC..HK | 30 | 57 | 54 | 8 | 7 | 3 | 9 | 9 |
| PS00799 | C.D..HCCP....C | 285 | 6 | 5 | 1 | 53 | 91 | 50 | 50 |
| PS00987 | GKCNN..GHGHNY | 106 | 13 | 6 | 1 | 4 | 94 | 3 | 3 |
| PS00458 | P...LGP.C.Y.AA.V.R...HW..P.L.AGA.A.G...K | 579 | 11 | 11 | 1 | 1 | 1 | 1 | 1 |
| PS00506 | H.CGGNVGD | 41 | 16 | 15 | 14 | 2 | 27 | 2 | 2 |
| Rm | 0.25 | 0.11 | 0.0171 | 0.1096 | 0.1096 | ||||
Evaluation of motif ranking results for eight datasets from the Prosite database. For each dataset the number of sequences, the absolute support value (Abs. Supp.) and the number of reported motifs are given. Motifs are ranked with Information-theoretic measures and support (Supp rank). Last row gives the Rm values of each measure, where support obtained the best results.