# 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 GCAGGGGC MEME-1 GCAGGGGC 1.2e-039 1.6e-042 -96.25 0.0 105 493 196 352 0.21298 6.5e-045 246 1 RGGARACCCCGB MEME-2 RGGARACCCCGB 3.6e-027 4.9e-030 -67.49 0.0 97 489 169 352 0.19836 2.0e-032 244 2 GCCCCTGB DREME-1 GCCCCTGC 2.4e-036 3.3e-039 -88.62 0.0 87 493 138 247 0.17647 1.3e-041 246 2 GGARACCC DREME-2 GGARACCC 5.2e-021 7.0e-024 -53.32 0.0 59 493 61 117 0.11968 2.8e-026 246 3 M0198_1.02 (SOHLH2)_(Mus_musculus)_(DBD_0.84) NGYVCGTGCN 6.9e-001 9.3e-004 -6.98 0.0 405 491 519 581 0.82485 3.8e-006 245 3 M1928_1.02 NFKB1 KGGRMTTTCCM 3.6e-005 4.9e-008 -16.84 0.0 84 490 149 527 0.17143 2.0e-010 244 3 M4444_1.02 RELA DGGGRMTTTCCMVN 3.8e-005 5.1e-008 -16.79 0.0 85 487 145 502 0.17454 2.1e-010 243 3 M5627_1.02 MESP1 NVCAGGTGYD 1.2e0000 1.6e-003 -6.45 0.0 103 491 169 588 0.20978 6.5e-006 245 3 M5632_1.02 MLX RTCACGTGAT 6.3e0000 8.5e-003 -4.76 0.0 363 491 258 308 0.73931 3.5e-005 245 3 M5965_1.02 ZIC4 DCDCMGCGGGGGGYC 1.3e0000 1.8e-003 -6.33 0.0 104 486 156 530 0.21399 7.3e-006 242 3 M6204_1.02 ELF2 TDNCAGGAAGTRRVT 3.2e0000 4.3e-003 -5.46 0.0 226 486 313 566 0.46502 1.8e-005 242 3 M6208_1.02 ELK3 VMCHGGAARTSC 2.9e-001 3.9e-004 -7.85 0.0 61 489 109 559 0.12474 1.6e-006 244 3 M6213_1.02 ERG ACCGGAARTSM 3.3e0000 4.5e-003 -5.41 0.0 66 490 107 536 0.13469 1.8e-005 244 3 M6449_1.02 REL DKGGRNWTTCCV 3.2e-001 4.3e-004 -7.74 0.0 59 489 108 571 0.12065 1.8e-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).