# WARNING: this file is not sorted! # db id alt consensus E-value adj_p-value log_adj_p-value bin_location bin_width total_width sites_in_bin total_sites p_success p-value mult_tests 1 CACACACACACACACACACACA MEME-1 CACACACACACACACACACACA 1.0e-012 1.4e-015 -34.19 0.0 157 479 115 178 0.32777 5.9e-018 239 1 CACACACACACACACA MEME-2 CACACACACACACACA 1.2e-006 1.6e-009 -20.26 0.0 161 485 148 278 0.33196 6.6e-012 242 2 CYATAAA DREME-1 CYATAAA 1.8e0000 2.5e-003 -5.99 0.0 210 494 61 94 0.42510 1.0e-005 246 3 M0719_1.02 FOXG1 RTAAACAW 5.5e-001 7.5e-004 -7.20 0.0 367 493 331 394 0.74442 3.1e-006 246 3 M0736_1.02 (FOXK2)_(Mus_musculus)_(DBD_0.90) RTMAACAA 1.6e0000 2.2e-003 -6.12 0.0 391 493 452 522 0.79310 8.9e-006 246 3 M1628_1.02 (TBX10)_(Mus_musculus)_(DBD_0.87) AGGTGTGAANN 6.5e0000 8.9e-003 -4.73 0.0 150 490 200 513 0.30612 3.6e-005 244 3 M2310_1.02 RUNX2 MAAACCACARAMMMM 1.5e-001 2.0e-004 -8.50 0.0 164 486 239 546 0.33745 8.4e-007 242 3 M5446_1.02 FOXD4L2 GTAAACA 6.3e0000 8.6e-003 -4.76 0.0 414 494 498 555 0.83806 3.5e-005 246 3 M5875_1.02 TBX1 AGGTGTGAAAAAAGGTGTGA 4.9e-003 6.6e-006 -11.93 0.0 275 481 186 251 0.57173 2.7e-008 240 3 M5883_1.02 TBX20 TCACACSTTCACACCT 4.5e0000 6.1e-003 -5.10 0.0 195 485 170 331 0.40206 2.5e-005 242 3 M5981_1.02 ZSCAN4 TTTTCAGKGTGTGCA 3.1e-003 4.3e-006 -12.37 0.0 100 486 109 321 0.20576 1.8e-008 242 3 M6244_1.02 FOXM1 RWAAWCAMWCAAV 4.0e0000 5.4e-003 -5.22 0.0 100 488 147 526 0.20492 2.2e-005 243 3 M6251_1.02 FUBP1 TYGTNTTTTTTT 1.5e0000 2.1e-003 -6.17 0.0 83 489 130 531 0.16973 8.6e-006 244 ## # Detailed descriptions of columns in this file: # # db: The name of the database (file name) that contains the motif. # id: A name for the motif that is unique in the motif database file. # alt: An alternate name of the motif that may be provided # in the motif database file. # consensus: A consensus sequence computed from the motif. # E-value: The expected number motifs that would have least one. # region as enriched for best matches to the motif as the reported region. # The E-value is the p-value multiplied by the number of motifs in the # input database(s). # adj_p-value: The probability that any tested region would be as enriched for # best matches to this motif as the reported region is. # By default the p-value is calculated by using the one-tailed binomial # test on the number of sequences with a match to the motif # that have their best match in the reported region, corrected for # the number of regions and score thresholds tested. # The test assumes that the probability that the best match in a sequence # falls in the region is the region width divided by the # number of places a motif # can align in the sequence (sequence length minus motif width plus 1). # When CentriMo is run in discriminative mode with a negative # set of sequences, the p-value of a region is calculated # using the Fisher exact test on the # enrichment of best matches in the positive sequences relative # to the negative sequences, corrected # for the number of regions and score thresholds tested. # The test assumes that the probability that the best match (if any) # falls into a given region # is the same for all positive and negative sequences. # log_adj_p-value: Log of adjusted p-value. # bin_location: Location of the center of the most enriched region. # bin_width: The width (in sequence positions) of the most enriched region. # A best match to the motif is counted as being in the region if the # center of the motif falls in the region. # total_width: The window maximal size which can be reached for this motif: # rounded(sequence length - motif length +1)/2 # sites_in_bin: The number of (positive) sequences whose best match to the motif # falls in the reported region. # Note: This number may be less than the number of # (positive) sequences that have a best match in the region. # The reason for this is that a sequence may have many matches that score # equally best. # If n matches have the best score in a sequence, 1/n is added to the # appropriate bin for each match. # total_sites: The number of sequences containing a match to the motif # above the score threshold. # p_success: The probability of falling in the enriched window: # bin width / total width # p-value: The uncorrected p-value before it gets adjusted to the # number of multiple tests to give the adjusted p-value. # mult_tests: This is the number of multiple tests (n) done for this motif. # It was used to correct the original p-value of a region for # multiple tests using the formula: # p' = 1 - (1-p)^n where p is the uncorrected p-value. # The number of multiple tests is the number of regions # considered times the number of score thresholds considered. # It depends on the motif length, sequence length, and the type of # optimizations being done (central enrichment, local enrichment, # score optimization).