Experiments with random sets of genes (mouse genes, raw sequences) | | | | | | | | | | | | | | | | | |
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Nomenclature and parameters | | | | | | | | | | | | | | | | | | | | | | |
Summary of results | | | | | | | | | | | | | | | | | | | | | | | |
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Summary of results | | | | | | | | | | | | | | | | | | | | | | | |
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| max_n_motifs=2 | | | | max_n_motifs=3 | | | | max_n_motifs=4 | | | | | | seq. length | seq. length | n_s | | | | |
max_d | n_check | median1 | min1 | median2 | min2 | n_check | median1 | min1 | median2 | min2 | n_check | median1 | min1 | median2 | min2 | id | n_motifs | mean | s.d. | number of genes in set
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25 | 2 | 1.2E-05 | 7.0E-06 | 1.8E-01 | 1.8E-01 | 3 | 1.6E-05 | 7.0E-06 | 1.8E-01 | 1.8E-01 | 7 | 2.2E-06 | 1.1E-07 | 1.0E+00 | 1.8E-01 | random 1 | 480 | 7613 | 2671 | 20 | | | | |
50 | 1 | 3.0E-06 | 3.0E-06 | 1.0E+00 | 1.0E+00 | 13 | 1.5E-05 | 1.7E-06 | 1.0E+00 | 2.1E-03 | 48 | 4.0E-06 | 1.6E-07 | 1.8E-01 | 1.4E-04 | | | | | | | | | |
100 | 4 | 1.5E-05 | 6.9E-06 | 1.8E-01 | 5.3E-03 | 15 | 3.7E-06 | 6.9E-08 | 1.0E+00 | 1.8E-03 | 52 | 5.0E-05 | 1.6E-07 | 1.1E-01 | 3.0E-05 | | | | | | | | | |
200 | 10 | 1.7E-04 | 6.5E-06 | 5.9E-01 | 2.4E-03 | 23 | 1.8E-06 | 4.8E-07 | 1.0E+00 | 5.7E-04 | 42 | 3.5E-05 | 5.7E-08 | 3.4E-03 | 4.8E-05 | | | | | | | | | |
25 | 0 | nan | nan | nan | nan | 0 | nan | nan | nan | nan | 0 | nan | nan | nan | nan | random2 | 458 | 7453 | 2786 | 20 | | | | |
50 | 0 | nan | nan | nan | nan | 4 | 1.1E-05 | 2.9E-06 | 1.0E+00 | 1.0E+00 | 5 | 1.2E-05 | 1.4E-08 | 1.0E+00 | 1.5E-02 | | | | | | | | | |
100 | 0 | nan | nan | nan | nan | 5 | 9.7E-06 | 3.2E-07 | 1.2E-01 | 8.4E-02 | 35 | 1.3E-05 | 3.2E-06 | 1.0E+00 | 3.0E-04 | | | | | | | | | |
200 | 0 | nan | nan | nan | nan | 6 | 5.8E-06 | 2.3E-07 | 5.9E-01 | 1.3E-01 | 57 | 3.3E-06 | 1.3E-08 | 1.0E+00 | 3.4E-04 | | | | | | | | | |
25 | 0 | nan | nan | nan | nan | 0 | nan | nan | nan | nan | 0 | nan | nan | nan | nan | random3 | 358 | 8268 | 2223 | 20 | | | | |
50 | 0 | nan | nan | nan | nan | 10 | 8.3E-05 | 2.6E-07 | 1.0E+00 | 1.8E-01 | 37 | 6.7E-05 | 2.6E-06 | 1.0E+00 | 2.6E-04 | | | | | | | | | |
100 | 0 | nan | nan | nan | nan | 4 | 6.5E-05 | 3.5E-05 | 5.9E-01 | 1.8E-01 | 45 | 6.8E-05 | 5.3E-07 | 1.0E+00 | 3.4E-04 | | | | | | | | | |
200 | 0 | nan | nan | nan | nan | 1 | 1.0E-06 | 1.0E-06 | 1.8E-01 | 1.8E-01 | 32 | 8.1E-05 | 3.0E-06 | 1.0E+00 | 2.1E-04 | | | | | | | | | |
25 | 1 | 3.7E-06 | 3.7E-06 | 5.6E-02 | 5.6E-02 | 3 | 2.8E-05 | 3.7E-07 | 1.0E+00 | 1.5E-02 | 3 | 2.8E-05 | 3.7E-07 | 1.0E+00 | 1.5E-02 | random4 | 538 | 8078 | 2277 | 20 | | | | |
50 | 2 | 5.0E-05 | 2.5E-06 | 5.9E-01 | 1.8E-01 | 9 | 2.6E-06 | 1.2E-07 | 1.0E+00 | 1.8E-01 | 10 | 9.0E-06 | 1.2E-07 | 1.0E+00 | 7.2E-02 | | | | | | | | | |
100 | 4 | 2.6E-06 | 2.0E-06 | 1.0E+00 | 1.8E-01 | 18 | 1.6E-05 | 8.1E-08 | 1.0E+00 | 1.8E-01 | 39 | 3.3E-06 | 1.2E-07 | 1.0E+00 | 7.5E-05 | | | | | | | | | |
200 | 3 | 1.6E-05 | 6.2E-06 | 1.0E+00 | 1.4E-02 | 16 | 9.2E-06 | 9.7E-08 | 1.0E+00 | 2.3E-03 | 43 | 2.7E-06 | 9.6E-08 | 1.0E+00 | 2.5E-05 | | | | | | | | | |
25 | 2 | 9.3E-07 | 9.3E-07 | 1.0E+00 | 1.0E+00 | 2 | 9.3E-06 | 9.3E-07 | 1.0E+00 | 1.0E+00 | 2 | 9.3E-05 | 9.3E-05 | 1.0E+00 | 1.0E+00 | random5 | 518 | 7981 | 2085 | 20 | | | | |
50 | 0 | nan | nan | nan | nan | 6 | 6.2E-06 | 2.1E-06 | 7.5E-02 | 4.7E-03 | 7 | 7.6E-05 | 9.5E-07 | 1.0E+00 | 2.1E-03 | | | | | | | | | |
100 | 0 | nan | nan | nan | nan | 4 | 2.3E-05 | 1.6E-07 | 1.0E+00 | 1.0E+00 | 35 | 5.1E-06 | 6.0E-07 | 1.0E+00 | 1.5E-04 | | | | | | | | | |
200 | 2 | 1.1E-06 | 5.9E-07 | 1.8E-01 | 1.8E-01 | 13 | 1.3E-05 | 4.8E-07 | 1.8E-01 | 1.8E-01 | 40 | 2.9E-05 | 3.8E-07 | 1.0E+00 | 3.0E-04 | | | | | | | | | |
25 | 1 | 3.2E-04 | 3.2E-04 | 1.4E-02 | 1.4E-02 | 1 | 3.2E-04 | 3.2E-04 | 1.4E-02 | 1.4E-02 | 2 | 2.6E-04 | 2.0E-04 | 5.0E-01 | 7.7E-03 | random 6 | 398 | 8458 | 2172 | 30 | | | | |
50 | 0 | nan | nan | nan | nan | 1 | 3.0E-06 | 3.0E-06 | 2.5E-01 | 2.5E-01 | 6 | 1.2E-05 | 1.4E-07 | 1.0E+00 | 2.5E-01 | | | | | | | | | |
100 | 0 | nan | nan | nan | nan | 4 | 3.0E-05 | 8.7E-06 | 1.0E+00 | 6.4E-03 | 22 | 1.2E-05 | 1.5E-07 | 1.0E+00 | 1.8E-03 | | | | | | | | | |
200 | 0 | nan | nan | nan | nan | 2 | 8.0E-05 | 4.5E-05 | 5.8E-01 | 1.6E-01 | 22 | 1.9E-05 | 2.3E-07 | 1.0E+00 | 1.4E-03 | | | | | | | | | |
25 | 1 | 5.8E-07 | 5.8E-07 | 8.3E-03 | 8.3E-03 | 2 | 1.6E-05 | 5.8E-08 | 5.0E-01 | 8.3E-03 | 9 | 4.2E-06 | 5.8E-08 | 1.0E+00 | 2.4E-03 | random7 | 497 | 8626 | 2233 | 30 | | | | |
50 | 0 | nan | nan | nan | nan | 3 | 2.3E-05 | 4.5E-06 | 3.3E-02 | 3.3E-02 | 22 | 9.2E-06 | 3.3E-08 | 1.0E+00 | 1.8E-04 | | | | | | | | | |
100 | 1 | 2.8E-05 | 2.8E-05 | 1.9E-02 | 1.9E-02 | 7 | 1.2E-05 | 8.9E-07 | 1.0E+00 | 2.0E-03 | 56 | 4.8E-05 | 2.4E-06 | 1.0E+00 | 2.5E-05 | | | | | | | | | |
200 | 5 | 1.1E-05 | 1.5E-06 | 3.6E-03 | 2.9E-03 | 32 | 9.4E-07 | 7.5E-08 | 6.8E-04 | 4.9E-04 | 62 | 4.7E-06 | 3.3E-07 | 1.1E-02 | 7.8E-05 | | | | | | | | | |
25 | 0 | nan | nan | nan | nan | 3 | 1.0E-05 | 9.6E-06 | 2.5E-01 | 2.5E-01 | 3 | 1.0E-05 | 9.6E-06 | 2.5E-01 | 2.5E-01 | random8 | 407 | 8249 | 2218 | 30 | | | | |
50 | 7 | 1.4E-05 | 6.6E-07 | 1.0E+00 | 1.0E+00 | 11 | 2.9E-06 | 6.6E-07 | 1.0E+00 | 2.1E-01 | 25 | 1.7E-05 | 8.4E-08 | 1.0E+00 | 2.1E-01 | | | | | | | | | |
100 | 16 | 3.3E-04 | 2.5E-07 | 1.0E+00 | 3.3E-02 | 34 | 7.7E-06 | 2.5E-07 | 1.0E+00 | 3.3E-02 | 63 | 2.8E-06 | 5.3E-08 | 1.0E+00 | 3.3E-02 | | | | | | | | | |
200 | 28 | 6.0E-05 | 3.4E-07 | 1.0E+00 | 2.9E-03 | 37 | 2.4E-06 | 6.0E-08 | 1.0E+00 | 2.9E-03 | 62 | 4.3E-06 | 3.0E-09 | 1.0E+00 | 2.9E-03 | | | | | | | | | |
25 | 1 | 1.5E-04 | 1.5E-04 | 1.0E+00 | 1.0E+00 | 2 | 8.1E-05 | 1.6E-05 | 5.7E-01 | 1.3E-01 | 2 | 8.1E-05 | 1.6E-05 | 5.7E-01 | 1.3E-01 | random9 | 393 | 7309 | 2377 | 30 | | | | |
50 | 0 | nan | nan | nan | nan | 1 | 9.0E-06 | 9.0E-06 | 1.0E+00 | 1.0E+00 | 9 | 9.0E-06 | 2.7E-08 | 1.0E+00 | 2.5E-01 | | | | | | | | | |
100 | 2 | 2.2E-06 | 4.6E-07 | 6.3E-01 | 2.5E-01 | 2 | 2.2E-06 | 4.6E-07 | 6.3E-01 | 2.5E-01 | 18 | 1.7E-05 | 1.2E-07 | 1.0E+00 | 3.3E-02 | | | | | | | | | |
200 | 5 | 7.4E-06 | 9.6E-07 | 2.5E-01 | 2.5E-01 | 8 | 1.3E-05 | 9.6E-08 | 1.0E+00 | 2.5E-01 | 41 | 8.6E-05 | 1.3E-07 | 1.0E+00 | 1.0E-01 | | | | | | | | | |
25 | 0 | nan | nan | nan | nan | 4 | 1.1E-05 | 6.5E-06 | 1.0E+00 | 1.8E-01 | 4 | 1.1E-05 | 6.5E-06 | 1.0E+00 | 1.8E-01 | random10 | 334 | 7861 | 2212 | 30 | | | | |
50 | 3 | 1.5E-06 | 1.7E-07 | 3.3E-02 | 3.3E-02 | 4 | 8.1E-06 | 1.4E-07 | 5.2E-01 | 3.3E-02 | 8 | 1.2E-05 | 1.4E-07 | 1.0E+00 | 3.3E-02 | | | | | | | | | |
100 | 7 | 5.2E-07 | 3.3E-08 | 3.3E-02 | 2.4E-03 | 19 | 2.1E-06 | 1.3E-08 | 2.5E-01 | 1.5E-03 | 55 | 6.9E-06 | 1.3E-08 | 1.0E+00 | 6.0E-04 | | | | | | | | | |
200 | 12 | 1.1E-06 | 7.1E-08 | 3.3E-02 | 1.5E-03 | 39 | 2.8E-05 | 9.1E-07 | 3.3E-02 | 1.8E-04 | 64 | 1.5E-06 | 7.7E-08 | 1.0E+00 | 8.5E-04 | | | | | | | | | |
25 | 0 | nan | nan | nan | nan | 0 | nan | nan | nan | nan | 0 | nan | nan | nan | nan | random11 | 302 | 8515 | 1946 | 40 | | | | |
50 | 1 | 5.6E-06 | 5.6E-06 | 1.0E+00 | 1.0E+00 | 3 | 5.6E-06 | 8.7E-07 | 1.0E+00 | 3.2E-01 | 7 | 7.2E-05 | 1.1E-07 | 1.0E+00 | 8.5E-02 | | | | | | | | | |
100 | 5 | 1.1E-05 | 2.8E-08 | 5.6E-02 | 2.0E-03 | 10 | 7.1E-06 | 2.8E-08 | 6.6E-01 | 1.3E-03 | 23 | 5.8E-06 | 1.1E-08 | 1.0E+00 | 1.1E-03 | | | | | | | | | |
200 | 3 | 3.3E-04 | 1.5E-08 | 3.2E-01 | 5.4E-02 | 17 | 1.9E-06 | 4.1E-08 | 1.0E+00 | 5.4E-02 | 67 | 1.1E-06 | 3.5E-08 | 1.0E+00 | 1.0E-02 | | | | | | | | | |
25 | 0 | nan | 1.0E+07 | nan | nan | 1 | 2.8E-05 | 2.8E-05 | 1.4E-01 | 1.4E-01 | 1 | 2.8E-05 | 2.8E-05 | 1.4E-01 | 1.4E-01 | random12 | 387 | 8158 | 1942 | 40 | | | | |
50 | 0 | nan | 1.0E+07 | nan | nan | 2 | 1.1E-03 | 1.7E-05 | 1.0E+00 | 1.0E+00 | 14 | 9.2E-06 | 4.4E-07 | 1.0E+00 | 1.1E-01 | | | | | | | | | |
100 | 2 | 3.0E-05 | 8.7E-06 | 6.6E-01 | 3.2E-01 | 4 | 1.6E-05 | 1.7E-06 | 6.6E-01 | 1.1E-01 | 22 | 1.2E-05 | 2.0E-08 | 1.0E+00 | 2.1E-02 | | | | | | | | | |
200 | 3 | 3.6E-06 | 5.2E-07 | 4.4E-03 | 3.9E-03 | 4 | 7.0E-06 | 5.2E-07 | 5.0E-01 | 3.9E-03 | 36 | 7.2E-04 | 5.4E-08 | 1.0E+00 | 1.0E-03 | | | | | | | | | |
25 | 1 | 4.2E-05 | 4.2E-05 | 3.2E-01 | 3.2E-01 | 1 | 4.2E-05 | 4.2E-05 | 3.2E-01 | 3.2E-01 | 1 | 4.2E-05 | 4.2E-05 | 3.2E-01 | 3.2E-01 | random13 | 352 | 7699 | 2100 | 40 | | | | |
50 | 3 | 3.4E-06 | 1.3E-06 | 7.1E-03 | 6.5E-03 | 4 | 3.9E-06 | 1.3E-06 | 1.6E-01 | 6.5E-03 | 4 | 4.6E-06 | 1.3E-06 | 1.0E+00 | 2.6E-03 | | | | | | | | | |
100 | 2 | 7.5E-07 | 6.1E-07 | 5.0E-01 | 6.5E-03 | 2 | 7.5E-06 | 6.1E-07 | 5.0E-01 | 6.5E-03 | 9 | 1.1E-05 | 5.4E-07 | 1.0E+00 | 6.5E-03 | | | | | | | | | |
200 | 9 | 1.3E-05 | 3.2E-07 | 3.9E-03 | 5.5E-04 | 21 | 9.5E-06 | 1.9E-08 | 6.5E-03 | 5.5E-04 | 24 | 1.4E-06 | 1.4E-07 | 3.2E-01 | 3.6E-04 | | | | | | | | | |
25 | 1 | 2.9E-05 | 2.9E-05 | 1.0E+00 | 1.0E+00 | 2 | 3.2E-05 | 2.9E-05 | 1.0E+00 | 1.0E+00 | 2 | 3.2E-05 | 2.9E-05 | 1.0E+00 | 1.0E+00 | random14 | 395 | 7713 | 1768 | 40 | | | | |
50 | 1 | 2.9E-04 | 2.9E-04 | 1.0E+00 | 1.0E+00 | 3 | 8.5E-06 | 3.5E-07 | 1.0E+00 | 1.0E+00 | 23 | 7.1E-03 | 3.5E-07 | 1.0E+00 | 3.6E-02 | | | | | | | | | |
100 | 0 | nan | nan | nan | nan | 1 | 2.9E-05 | 2.9E-05 | 1.0E+00 | 1.0E+00 | 26 | 4.7E-03 | 2.0E-08 | 1.0E+00 | 1.5E-04 | | | | | | | | | |
200 | 0 | nan | nan | nan | nan | 1 | 8.7E-08 | 8.7E-08 | 1.0E+00 | 1.0E+00 | 25 | 2.1E-03 | 2.8E-08 | 1.0E+00 | 4.0E-02 | | | | | | | | | |
25 | 1 | 2.0E-07 | 2.0E-07 | 3.2E-01 | 3.2E-01 | 1 | 2.0E-07 | 2.0E-07 | 3.2E-01 | 3.2E-01 | 1 | 2.0E-07 | 2.0E-07 | 3.2E-01 | 3.2E-01 | random15 | 384 | 7427 | 2215 | 40 | | | | |
50 | 1 | 7.6E-07 | 7.6E-07 | 3.2E-01 | 3.2E-01 | 2 | 1.3E-05 | 7.6E-07 | 6.6E-01 | 3.2E-01 | 8 | 1.4E-06 | 7.1E-08 | 1.0E+00 | 2.0E-02 | | | | | | | | | |
100 | 3 | 2.8E-06 | 1.7E-06 | 7.0E-03 | 6.5E-03 | 5 | 2.8E-06 | 4.1E-07 | 1.0E+00 | 6.5E-03 | 10 | 5.8E-06 | 3.5E-07 | 1.0E+00 | 5.5E-04 | | | | | | | | | |
200 | 13 | 2.3E-07 | 4.4E-08 | 6.5E-03 | 5.5E-04 | 21 | 2.1E-06 | 3.5E-08 | 5.6E-02 | 5.5E-04 | 24 | 8.5E-07 | 3.8E-08 | 1.0E+00 | 3.6E-05 | | | | | | | | | |
mean | 2.8 | 5.2E-05 | 5.0E+05 | 4.3E-01 | 2.6E-01 | 7.9 | 4.0E-05 | 1.1E-05 | 6.4E-01 | 2.4E-01 | 23.7 | 2.8E-04 | 7.8E-06 | 8.5E-01 | 8.6E-02 | | 413.4 | 7960.4 | | mean | | | | |
std | 4.8 | 9.9E-05 | 2.2E+06 | 4.1E-01 | 3.7E-01 | 9.5 | 1.5E-04 | 4.3E-05 | 3.8E-01 | 3.5E-01 | 20.6 | 1.1E-03 | 3.0E-05 | 3.1E-01 | 2.0E-01 | | 69.7 | 418.9 | | std | | | | |
min | 0.0 | 2.0E-07 | 1.5E-08 | 3.6E-03 | 5.5E-04 | 0.0 | 8.7E-08 | 1.3E-08 | 6.8E-04 | 1.8E-04 | 0.0 | 2.0E-07 | 3.0E-09 | 3.4E-03 | 2.5E-05 | | 302.0 | 7308.8 | | min | | | | |
max | 28.0 | 3.3E-04 | 1.0E+07 | 1.0E+00 | 1.0E+00 | 39.0 | 1.1E-03 | 3.2E-04 | 1.0E+00 | 1.0E+00 | 67.0 | 7.1E-03 | 2.0E-04 | 1.0E+00 | 1.0E+00 | | 538.0 | 8626.3 | | max | | | | |
median | 1.0 | 9.2E-06 | 1.4E-06 | 3.2E-01 | 4.4E-02 | 4.0 | 9.5E-06 | 6.1E-07 | 6.6E-01 | 1.3E-01 | 22.2 | 1.2E-05 | 1.4E-07 | 1.0E+00 | 2.9E-03 | | 395.0 | 7981.3 | | median | | | | |
| max_n_motifs=2 | mm | | hs | max_n_motifs=3 | mm | | hs | max_n_motifs=4 | mm | | hs | | | | | | | | | |
| n_check | median1 | min1 | median2 | min2 | n_check | median1 | min1 | median2 | min2 | n_check | median1 | min1 | median2 | min2 | | | | | | | | | |
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Nomenclature and parameters | | | | | | | | | | | | | | | | | | | | | |
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n_s | number of random mouse genes used as input to the program (20, 30 or 40) | | | | | | | | | | | | | | | | | |
n_motifs | total number of motifs | | | | | | | | | | | | | | | | | | | | | |
max_n_motifs
| maximum number of motifs in a module (2, 3 or 4) | | | | | | | | | | | | | | | | | | | |
max_d | maximum distance between motifs (25, 50, 100 or 200 bp) | | | | | | | | | | | | | | | | | | |
n_module | number of module predictions | | | | | | | | | | | | | | | | | | | | | |
median1 | median enrichment p value for mouse
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min1 | best (minimum) p value for all the modules for mouse
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median2 | median enrichment p value for the same modules in humans
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min2 | best (minimum) p value for the same modules in humans
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Note: If the output was 0 modules (n_module=0), then the p values are nan (not a number) | | | | | | | | | | | | | | | | |
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Other parameters: | | | | | | | | | | | | | | | | | | | | | | | |
maximum upstream length = 5000 | | | | | | | | | | | | | | | | | | | | | |
maximum exon length = 5000 | | | | | | | | | | | | | | | | | | | | | | |
maximum intron length = 5000 | | | | | | | | | | | | | | | | | | | | | | |
motif comparison threshold = 70 | | | | | | | | | | | | | | | | | | | | | | |
reverse strand = true | | | | | | | | | | | | | | | | | | | | | | | |
scan threshold = min_fn | | | | | | | | | | | | | | | | | | | | | | |
minimum genes with module = 4 | | | | | | | | | | | | | | | | | | | | | |
order = false | | | | | | | | | | | | | | | | | | | | | | | |
sequence source = ncbi | | | | | | | | | | | | | | | | | | | | | | |
mask non-conserved = false | | | | | | | | | | | | | | | | | | | | | | |
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