# 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 DGDGGGDGHTGGGGKG MEME-2 DGDGGGDGHTGGGGKG 2.3e-004 3.1e-007 -15.00 0.0 147 485 251 598 0.30309 1.3e-009 242 1 WBTTGGGGTGYHGRDG MEME-4 WBTTGGGGTGYHGRDG 1.7e-004 2.3e-007 -15.28 0.0 97 485 116 342 0.20000 9.5e-010 242 2 GGGGTNC DREME-1 GGGGTGC 1.1e-011 1.5e-014 -31.81 0.0 146 494 190 381 0.29555 6.2e-017 246 2 GGGGCGCK DREME-2 GGGGCGCK 2.3e0000 3.1e-003 -5.78 0.0 79 493 48 163 0.16024 1.3e-005 246 3 M0404_1.02 (ZNF202)_(Mus_musculus)_(DBD_0.87) NNNBGGGGSV 5.2e-003 7.0e-006 -11.88 0.0 255 491 376 597 0.51935 2.8e-008 245 3 M0422_1.02 (ZIC5)_(Mus_musculus)_(DBD_0.99) SYRGGGGGTM 1.4e-002 1.9e-005 -10.90 0.0 135 491 222 591 0.27495 7.6e-008 245 3 M2387_1.02 SREBF1 RTGGGGTGAB 2.3e-001 3.0e-004 -8.10 0.0 173 491 235 517 0.35234 1.2e-006 245 3 M5491_1.02 GLIS2 CDYYGCGGGGGGTC 1.7e0000 2.3e-003 -6.08 0.0 239 487 285 484 0.49076 9.4e-006 243 3 M5974_1.02 ZNF524 GGGTTCRAGGGT 1.1e0000 1.4e-003 -6.56 0.0 193 489 224 450 0.39468 5.8e-006 244 3 M5977_1.02 ZNF740 GTGGGGGGGK 2.6e-003 3.5e-006 -12.56 0.0 311 491 429 578 0.63340 1.4e-008 245 3 M6155_1.02 ATF6 GBGSTGACGTGG 1.9e0000 2.6e-003 -5.97 0.0 119 489 143 426 0.24335 1.1e-005 244 3 M6322_1.02 KLF1 CAGGGTGKGGC 4.7e0000 6.3e-003 -5.07 0.0 16 490 39 574 0.03265 2.6e-005 244 3 M6422_1.02 PLAGL1 CRGGGGGCCC 9.4e0000 1.3e-002 -4.37 0.0 59 491 98 553 0.12016 5.2e-005 245 ## # 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).