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Table 5 Evaluation of rigid gap motifs on Dilimot datasets.

From: Evaluating deterministic motif significance measures in protein databases

Motif NumSeqs Abs. Supp Supp Rank IG Pratt LogOdd Zscore
LPSN 15 4 1294 520 2429 4 6
WS.WS 34 7 15 22 31 28 28
Q.RLQ..Q 15 4 5259 660 5213 1 1
P.LP.K 24 8 1334 336 592 22 23
L.DL.K 7 7 1 1 12 1 1
M.C..S.E.K.A 5 4 101 14 424 17 17
GS...G.P 25 5 22554 10428 11292 1155 1243
G...E.GE 40 9 4735 1257 3617 30 32
R.RS.S 32 6 3497 1319 1395 42 52
G...RGRG 15 8 97 1 136 1 1
R m    0.0003 0.0007 0.0004 0.0077 0.0071
  1. Evaluation of motif ranking results for ten datasets from the Dilimot database. For each dataset the number of sequences and the absolute support value (Abs. Supp.) of the target motif are given. Motifs are ranked with Information-theoretic measures and support (Supp rank). Last row gives the R m values of each measure, where LoggOdd obtained the best results.