# 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	WTTTGCATAWSAAW          MEME-1	WTTTGCATAWSAAW	2.3e-227	   5.6e-229	        -525.57	         0.0	       61	        197	        4739	      10235	  0.30964	5.7e-231	        98
   2	ATGYANAT               DREME-1	ATGCAAAT	2.0e-113	   4.9e-115	        -263.22	         0.0	       81	        203	        3011	       5439	  0.39901	4.8e-117	       101
   2	MATRACAA               DREME-2	MATRACAA	1.7e-174	   4.1e-176	        -403.83	         0.0	       61	        203	        1904	       3603	  0.30049	4.1e-178	       101
   2	CTGKGD                 DREME-3	CTGKGD	5.2e-004	   1.2e-005	         -11.31	         0.0	      107	        205	       12134	      22506	  0.52195	1.2e-007	       102
   2	TATGYWAA               DREME-5	TATGYWAA	1.4e-074	   3.4e-076	        -173.78	         0.0	       69	        203	        1669	       3358	  0.33990	3.3e-078	       101
   2	CDGSAG                 DREME-7	CWGSAG	8.3e-008	   2.0e-009	         -20.04	         0.0	       77	        205	        7431	      18616	  0.37561	1.9e-011	       102
   2	ATGCGCAT               DREME-8	ATGCGCAT	8.7e-053	   2.1e-054	        -123.62	         0.0	       67	        203	         287	        399	  0.33005	2.0e-056	       101
   2	RAATGY                DREME-10	RAATGY	1.1e0000	   2.6e-002	          -3.64	         0.0	       61	        205	        5275	      17028	  0.29756	2.6e-004	       102
   2	ACARAGV               DREME-11	ACARAGV	8.1e-008	   1.9e-009	         -20.07	         0.0	       72	        204	        3894	      10126	  0.35294	1.9e-011	       101
   2	AGRKGGCG              DREME-14	AGRKGGCG	3.0e-011	   7.0e-013	         -27.98	         0.0	       85	        203	         592	       1109	  0.41872	7.0e-015	       101
   2	ATGNTAAT              DREME-17	ATGNTAAT	3.3e-025	   7.9e-027	         -60.11	         0.0	       69	        203	        1033	       2284	  0.33990	7.8e-029	       101
   2	CCRCCDCC              DREME-19	CCRCCDCC	3.4e0000	   8.0e-002	          -2.52	         0.0	       21	        203	         258	       2056	  0.10345	8.3e-004	       101
   2	CRGMCAC               DREME-23	CAGMCAC	1.4e0000	   3.4e-002	          -3.38	         0.0	       78	        204	        1333	       3239	  0.38235	3.4e-004	       101
   2	CATTSTC               DREME-27	CATTSTC	8.5e-014	   2.0e-015	         -33.83	         0.0	       98	        204	        1530	       2727	  0.48039	2.0e-017	       101
   2	GCATYACA              DREME-28	GCATYACA	3.6e-026	   8.5e-028	         -62.33	         0.0	       83	        203	         477	        781	  0.40887	8.4e-030	       101
   2	CCACCABG              DREME-29	CCACCAKG	1.7e-001	   4.0e-003	          -5.53	         0.0	       61	        203	         391	       1097	  0.30049	3.9e-005	       101
   2	ACASCTGG              DREME-34	ACASCTGG	6.0e0000	   1.4e-001	          -1.95	         0.0	       21	        203	         132	        986	  0.10345	1.5e-003	       101
   2	CTGGSCTC              DREME-38	CTGGSCTC	5.4e0000	   1.3e-001	          -2.04	         0.0	      103	        203	         742	       1352	  0.50739	1.4e-003	       101
##
# 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).