# 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 SYGGCTCCAKCDCCY MEME-1 SYGGCTCCAKCDCCY 4.5e-123 6.0e-126 -288.33 0.0 90 486 379 600 0.18519 2.5e-128 242 1 RKGMTGGAGDNSRGKG MEME-2 RKGMTGGAGDNSRGKG 7.1e-014 9.7e-017 -36.87 0.0 49 485 103 400 0.10103 4.0e-019 242 1 CTCCAKCWCCDBCWCC MEME-3 CTCCAKCWCCDBCWCC 4.8e-026 6.6e-029 -64.89 0.0 85 485 215 560 0.17526 2.7e-031 242 2 GCTCYAK DREME-1 GCTCCAG 1.2e-081 1.7e-084 -192.91 0.0 108 494 293 447 0.21862 6.8e-087 246 2 CTCCRK DREME-2 CTCCAK 1.6e-049 2.2e-052 -118.95 0.0 95 495 276 575 0.19192 8.9e-055 247 2 GCTCMA DREME-3 GCTCMA 4.8e-050 6.4e-053 -120.17 0.0 89 495 230 459 0.17980 2.6e-055 247 3 M0212_1.02 (TCFL5)_(Mus_musculus)_(DBD_1.00) NBCDCGHGVN 7.1e0000 9.6e-003 -4.65 0.0 255 491 256 415 0.51935 3.9e-005 245 3 M0433_1.02 (ZBTB12)_(Mus_musculus)_(DBD_1.00) NYCTAGAACN 1.1e-001 1.4e-004 -8.84 0.0 119 491 189 565 0.24236 5.9e-007 245 3 M1359_1.02 (MYPOP)_(Mus_musculus)_(DBD_0.97) NWTTGCGCCR 4.4e0000 5.9e-003 -5.13 0.0 305 491 323 453 0.62118 2.4e-005 245 3 M4612_1.02 CTCFL CCRSCAGGGGGCGCY 3.8e0000 5.1e-003 -5.28 0.0 236 486 268 461 0.48560 2.1e-005 242 3 M6161_1.02 BHLHE41 WSVRKSYCACGTGMHGRRRV 5.9e-001 8.0e-004 -7.13 0.0 291 481 345 491 0.60499 3.3e-006 240 3 M6339_1.02 MECP2 YYCCGGS 3.9e-001 5.3e-004 -7.55 0.0 236 494 246 416 0.47773 2.1e-006 246 3 M6542_1.02 ZBTB6 VGRTGATRGAGCC 1.0e-103 1.4e-106 -243.73 0.0 104 488 378 595 0.21311 5.8e-109 243 ## # 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).