# 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 WGWGDGWGWGDGWGWGDGWG MEME-1 WGWGDGWGWGDGWGWGDGWG 4.8e-007 6.4e-010 -21.17 0.0 143 481 220 494 0.29730 2.7e-012 240 1 AGRGAGAGARAGAGRGAGAGAG MEME-2 AGRGAGAGARAGAGRGAGAGAG 1.2e-002 1.7e-005 -11.00 0.0 269 479 183 252 0.56159 7.0e-008 239 1 GGAGAGAGRGAG MEME-3 GGAGAGAGRGAG 1.4e-004 1.9e-007 -15.49 0.0 77 489 125 467 0.15746 7.7e-010 244 1 CACACACACACACACACACACACACACACAC MEME-4 CACACACACACACACACACACACACACACAC 5.4e-012 7.3e-015 -32.55 0.0 122 470 99 177 0.25957 3.1e-017 234 1 AKCASCABCAKCABCAKC MEME-5 AKCASCABCAKCABCAKC 4.0e0000 5.4e-003 -5.22 0.0 105 483 48 126 0.21739 2.3e-005 241 1 TTATTGAGTGCACTCAGACCCAGYGGATTAACATCCAAAARCTGGGCCC MEME-6 TTATTGAGTGCACTCAGACCCAGYGGATTAACATCCAAAARCTGGGCCC 1.5e-006 2.1e-009 -20.00 0.0 64 452 13 13 0.14159 9.2e-012 225 1 TGCTGCTGCTGCTGCTGCTGCT MEME-8 TGCTGCTGCTGCTGCTGCTGCT 1.5e0000 2.0e-003 -6.23 0.0 115 479 73 190 0.24008 8.2e-006 239 1 KGTGTGTGTGTGTGT MEME-10 KGTGTGTGTGTGTGT 2.1e-010 2.8e-013 -28.90 0.0 152 486 135 240 0.31276 1.2e-015 242 2 TAYTGCAA DREME-1 TAYTGCAA 9.9e-003 1.3e-005 -11.23 0.0 87 493 44 113 0.17647 5.4e-008 246 3 M5875_1.02 TBX1 AGGTGTGAAAAAAGGTGTGA 3.8e-001 5.1e-004 -7.59 0.0 159 481 133 288 0.33056 2.1e-006 240 3 M5883_1.02 TBX20 TCACACSTTCACACCT 5.6e-001 7.5e-004 -7.20 0.0 233 485 217 362 0.48041 3.1e-006 242 3 M5981_1.02 ZSCAN4 TTTTCAGKGTGTGCA 2.2e-002 3.0e-005 -10.42 0.0 168 486 142 286 0.34568 1.2e-007 242 ## # 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).