This page contains tables of motif scores for Improbizer runs on random data. Use the scores here to help decide if the scores of the motifs on your data are significant. All tables were made with the default Improbizer settings except for as noted in the title of the tables.
One Max Occurrences Tables Even Background
1st Motif
Score
Number of Sequences
10 20 30 40 50 60 70 80 90 100
S 10 2.52 1.54 1.33 1.17 1.36 1.34 1.30 1.36 1.29 1.31
e 20 4.55 2.95 2.47 2.36 2.17 2.02 2.12 1.94 1.96 1.86
q 30 4.41 3.74 3.17 2.79 2.77 2.60 2.52 2.40 2.35 2.32
40 5.74 3.99 3.51 3.26 3.10 2.80 2.77 2.66 2.72 2.59
S 50 5.71 4.19 3.90 3.42 3.29 3.25 3.01 3.00 3.00 2.90
i 60 6.26 4.47 3.99 3.79 3.60 3.33 3.45 3.15 3.12 3.17
z 70 6.50 4.96 4.09 3.88 3.71 3.63 3.50 3.32 3.42 3.23
e 80 5.53 5.20 4.36 4.14 3.82 3.76 3.73 3.52 3.42 3.40
90 6.09 5.19 4.42 4.48 4.15 3.85 3.75 3.68 3.53 3.48
2nd Motif
Score
Number of Sequences
10 20 30 40 50 60 70 80 90 100
S 10 1.69 1.23 1.24 0.88 0.94 0.83 1.05 1.02 0.94 1.06
e 20 2.29 2.52 2.26 2.16 1.64 1.81 1.62 1.70 1.78 1.61
q 30 4.38 3.35 2.63 2.51 2.55 2.35 2.26 2.35 2.32 2.32
40 4.48 3.31 3.06 2.84 2.91 2.61 2.72 2.35 2.60 2.68
S 50 4.94 3.74 3.15 2.95 3.16 2.98 2.80 2.86 2.83 2.77
i 60 5.38 3.92 3.59 3.46 3.19 3.15 3.22 3.07 2.99 3.12
z 70 5.50 4.39 3.84 3.44 3.30 3.23 3.31 3.24 3.25 3.28
e 80 5.56 4.49 3.82 3.76 3.83 3.68 3.32 3.37 3.21 3.32
90 6.44 4.62 4.17 3.87 3.61 3.88 3.45 3.40 3.36 3.45
100 sequence runs on longer sequences
1st Motif 2nd Motif
S 100 3.74 3.61
e 200 4.31 4.24
q 300 4.90 4.78
400 5.09 5.02
S 500 5.45 5.38
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Two Max Occurrences Tables Even Background
1st Motif Score
Number of Sequences
10 20 30 40 50 60 70 80 90 100
S 10 2.15 1.66 1.63 1.34 1.35 1.34 1.31 1.58 1.31 1.25
e 20 3.99 3.16 2.80 2.70 2.55 2.42 2.47 2.49 2.46 2.36
q 30 5.32 4.17 3.81 3.50 3.53 3.40 3.17 3.27 3.25 3.42
40 6.37 4.98 4.69 4.21 4.04 3.96 3.94 3.92 3.96 3.88
S 50 7.05 5.60 4.88 4.87 4.58 4.49 4.45 4.41 4.29 4.19
i 60 7.41 5.94 5.41 5.40 5.08 4.97 4.74 4.79 4.88 4.68
z 70 8.20 6.55 5.79 5.67 5.44 5.32 5.18 5.03 5.05 5.05
e 80 8.68 6.77 6.21 5.81 5.74 5.55 5.50 5.48 5.38 5.41
90 9.12 7.17 6.60 6.30 6.08 5.85 5.87 5.75 5.67 5.64
2st Motif
Score
Number of Sequences
10 20 30 40 50 60 70 80 90 100
S 10 1.60 1.17 0.85 0.97 1.01 0.79 0.72 0.78 0.81 0.77
e 20 2.86 2.13 1.87 1.90 1.62 1.65 1.83 2.09 1.94 2.27
q 30 3.43 2.93 2.73 2.42 2.56 2.27 2.65 2.52 2.51 2.98
40 4.46 3.78 3.23 3.32 3.18 3.32 3.26 3.14 3.06 3.30
S 50 5.16 4.21 4.03 3.73 4.06 4.01 3.51 3.78 3.63 4.29
i 60 6.28 5.05 4.64 4.37 4.14 4.35 4.45 4.17 4.15 4.07
z 70 5.87 5.63 5.00 5.00 4.81 4.63 4.70 4.73 4.78 4.49
e 80 6.62 5.44 5.34 5.39 4.83 5.06 5.19 5.23 5.00 4.82
90 8.40 6.10 5.70 5.64 5.49 5.10 5.18 5.32 5.03 4.86
5.76 7.32 8.14 8.63 9.24
100 sequence runs on longer sequences
1st Motif 2nd Motif
S 100 5.76 5.50
e 200 7.32 6.90
q 300 8.14 7.86
400 8.63 8.48
S 500 9.24 8.96
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One Max Occurrences Tables Markov 1 Background
Here's a table showing the Improberator score on random data of various sizes. The data was generated using a 1st order Markov model based on the yeast promoters, which was also used as the null model. Two sets of random data were generated for each sequence size and number of sequences and the score of the two averaged. The Improberator was set to allow up to two matches to each sequence. The scores for the first motif found is in the first table, the second motif in the second.
1st Motif
Score
Number of Sequences
10 20 30 40 50 60 70 80 90 100
S 10 2.14 1.77 1.47 1.40 1.46 1.36 1.34 1.23 1.29 1.30
e 20 3.82 2.79 2.53 2.44 2.15 1.99 2.07 1.93 1.90 1.88
q 30 4.47 3.59 3.09 2.76 2.47 2.53 2.49 2.34 2.39 2.38
40 5.19 4.00 3.24 3.11 3.08 2.94 2.75 2.72 2.66 2.66
S 50 5.70 4.14 3.59 3.36 3.34 3.08 3.04 2.94 2.95 2.77
i 60 5.63 4.49 3.92 3.83 3.61 3.44 3.24 3.16 3.11 3.07
z 70 5.96 4.78 4.18 3.78 3.68 3.46 3.44 3.38 3.30 3.20
e 80 5.79 5.18 4.43 3.98 3.69 3.79 3.58 3.42 3.38 3.40
90 6.28 4.80 4.48 4.31 4.10 3.80 3.63 3.74 3.52 3.46
2nd Motif
Score
Number of Sequences
10 20 30 40 50 60 70 80 90 100
S 10 1.57 1.10 1.04 0.98 0.85 0.84 1.00 1.04 1.07 1.13
e 20 3.10 1.98 1.79 1.93 1.76 1.74 1.98 1.81 1.83 1.75
q 30 3.81 2.89 2.57 2.54 2.41 2.16 2.49 2.33 2.18 2.08
40 4.37 3.65 2.81 2.76 2.66 2.70 2.58 2.67 2.41 2.61
S 50 6.14 3.86 3.45 2.97 3.05 2.82 2.62 2.89 2.62 2.69
i 60 5.17 4.08 3.76 3.34 3.25 2.92 2.95 2.80 3.05 2.85
z 70 5.61 4.49 3.59 3.63 3.43 3.21 3.34 3.25 3.28 3.12
e 80 5.83 4.73 4.00 3.83 3.55 3.56 3.40 3.33 3.15 3.29
90 5.84 4.36 4.21 4.04 3.74 3.66 3.40 3.40 3.37 3.25
100 sequence runs on longer sequences
1st Motif 2nd Motif
S 100 3.53 3.49
e 200 4.35 4.16
q 300 4.74 4.74
400 4.99 4.91
S 500 5.35 5.26
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Two Max Occurrences Tables Markov 1 Background
1st Motif
Score
Number of Sequences
10 20 30 40 50 60 70 80 90 100
S 10 2.59 1.76 1.38 1.34 1.33 1.36 1.29 1.28 1.40 1.26
e 20 4.00 3.27 2.73 2.58 2.54 2.46 2.50 2.53 2.36 2.55
q 30 5.45 4.11 3.57 3.50 3.43 3.33 3.31 3.37 3.41 3.17
40 6.45 4.96 4.25 4.23 4.08 3.99 4.03 3.91 3.96 3.91
S 50 6.83 5.28 5.04 4.95 4.68 4.57 4.59 4.51 4.36 4.39
i 60 8.25 6.71 5.64 5.26 5.19 4.97 4.84 4.97 4.77 4.77
z 70 8.03 6.52 5.93 5.49 5.44 5.44 5.25 5.21 5.23 5.13
e 80 9.14 7.13 6.30 5.89 5.70 5.69 5.63 5.57 5.54 5.41
90 9.06 7.47 6.59 6.48 6.03 5.99 5.94 5.81 5.73 5.65
2nd Motif
Score
Number of Sequences
10 20 30 40 50 60 70 80 90 100
S 10 1.74 1.14 1.06 1.07 0.86 0.75 1.08 1.03 0.89 0.88
e 20 2.90 2.08 1.87 1.65 1.82 1.75 2.05 1.93 1.91 1.68
q 30 3.88 3.24 3.07 2.44 2.61 2.58 2.46 2.43 2.81 2.82
40 4.82 3.81 3.81 3.39 3.23 3.37 3.28 3.50 3.12 3.02
S 50 5.10 4.67 4.19 3.90 3.85 4.04 3.80 3.60 3.78 3.84
i 60 6.21 4.67 4.31 4.60 4.35 4.38 4.36 3.98 4.02 4.16
z 70 6.87 5.48 5.06 4.94 4.62 4.58 4.81 4.59 4.59 4.48
e 80 7.03 6.15 5.34 5.04 5.00 5.00 5.08 5.10 4.94 4.83
90 7.56 6.05 5.76 5.52 5.19 5.05 5.16 5.16 5.02 5.14
100 sequence runs on longer sequences
1st Motif 2nd Motif
S 100 5.83 5.42
e 200 7.19 6.93
q 300 8.01 7.81
400 8.75 8.47
S 500 9.10 8.96
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