# 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 WTTTATTTATTTATTTATTTATTTATTTATTTATTTATTTATTTATTTTT MEME-1 WTTTATTTATTTATTTATTTATTTATTTATTTATTTATTTATTTATTTTT 4.2e-027 5.7e-030 -67.34 0.0 41 451 36 42 0.09091 2.5e-032 225 1 HKGKGGCYTTAARAGCTCA MEME-2 HKGKGGCYTTAARAGCTCA 9.9e-030 1.3e-032 -73.39 0.0 82 482 101 171 0.17012 5.6e-035 240 2 BTTCCGG DREME-1 STTCCGG 3.8e0000 5.1e-003 -5.29 0.0 182 494 118 235 0.36842 2.1e-005 246 2 RAGCTCA DREME-2 RAGCTCA 6.9e-010 9.3e-013 -27.70 0.0 68 494 51 115 0.13765 3.8e-015 246 2 ATAAATAA DREME-4 ATAAATAA 3.4e-005 4.5e-008 -16.91 0.0 51 493 40 130 0.10345 1.8e-010 246 2 GGCYTTAA DREME-6 GGCYTTAA 3.4e-004 4.6e-007 -14.60 0.0 71 493 56 173 0.14402 1.9e-009 246 3 M0609_1.02 DNMT1 NNCCGCNNNN 3.4e0000 4.6e-003 -5.38 0.0 379 491 406 478 0.77189 1.9e-005 245 3 M0898_1.02 ZHX1 NHRYBNNN 4.5e-003 6.0e-006 -12.02 0.0 75 493 40 110 0.15213 2.5e-008 246 3 M5335_1.02 CUX2 ATCGATAHNDTTATYGAT 2.5e-010 3.4e-013 -28.72 0.0 33 483 37 116 0.06832 1.4e-015 241 3 M6147_1.02 ARID3A TWWAWTTTGATWYYVWTTAATH 3.4e0000 4.6e-003 -5.38 0.0 27 479 33 261 0.05637 1.9e-005 239 3 M6250_1.02 FOXQ1 AAATAAACAATD 6.8e0000 9.1e-003 -4.70 0.0 51 489 58 322 0.10429 3.8e-005 244 3 M6299_1.02 HOXC6 AAAGTAATAAATCAT 4.0e-001 5.4e-004 -7.52 0.0 60 486 51 211 0.12346 2.2e-006 242 ## # 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).