Evaluating deterministic motif significance measures in protein databases

Table 5 Evaluation of rigid gap motifs on Dilimot datasets.

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

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_mvalues of each measure, where LoggOdd obtained the best results.

ISSN: 1748-7188