# 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	NYYWTTGTYATGCAAATN      MEME-1	NYYWTTGTYATGCAAATN	1.2e-363	   4.7e-365	        -838.90	         0.0	       71	        193	        2441	       3424	  0.36788	4.9e-367	        96
   1	GSCSGGRHTYGAACCMGSRACCTTKHGAT MEME-3	GSCSGGRHTYGAACCMGSRACCTTKHGAT	8.5e-003	   3.4e-004	          -7.99	         0.0	      106	        182	          82	        103	  0.58242	3.8e-006	        90
   2	CATRABAA               DREME-1	CATRACAA	1.2e-235	   4.7e-237	        -544.17	         0.0	       67	        203	        1048	       1368	  0.33005	4.6e-239	       101
   2	ATGYADAT               DREME-2	ATGCAAAT	2.1e-101	   8.5e-103	        -235.03	         0.0	       81	        203	         856	       1209	  0.39901	8.4e-105	       101
   2	AATRACAA               DREME-3	AATRACAA	1.3e-018	   5.3e-020	         -44.38	         0.0	       65	        203	         193	        335	  0.32020	5.3e-022	       101
   2	ATGYWAA                DREME-4	ATGCWAA	2.7e-105	   1.1e-106	        -244.01	         0.0	       78	        204	        1165	       1822	  0.38235	1.1e-108	       101
   2	ATGCGCAT               DREME-5	ATGCGCAT	7.5e-035	   3.0e-036	         -81.79	         0.0	       63	        203	         125	        152	  0.31034	3.0e-038	       101
   2	CAGSWGG                DREME-6	CAGSWGG	5.6e-003	   2.2e-004	          -8.40	         0.0	      112	        204	         786	       1282	  0.54902	2.2e-006	       101
   2	ACAAWGS                DREME-7	ACAAWGS	4.6e-041	   1.8e-042	         -96.10	         0.0	       84	        204	         707	       1145	  0.41176	1.8e-044	       101
   2	ATGAATAW              DREME-10	ATGAATAW	4.9e-018	   2.0e-019	         -43.08	         0.0	       55	        203	         133	        235	  0.27094	1.9e-021	       101
   2	CMCAGS                DREME-11	CMCAGS	7.2e-001	   2.9e-002	          -3.54	         0.0	      155	        205	        2027	       2582	  0.75610	2.9e-004	       102
   2	CVTTTC                DREME-13	CMTTTC	1.9e0000	   7.4e-002	          -2.60	         0.0	       77	        205	         738	       1790	  0.37561	7.6e-004	       102
   2	ATTCAWAT              DREME-14	ATTCAWAT	7.2e-019	   2.9e-020	         -44.99	         0.0	      101	        203	         187	        233	  0.49754	2.9e-022	       101
   2	CCTGBAG               DREME-16	CCTGSAG	7.7e0000	   3.1e-001	          -1.17	         0.0	      164	        204	         653	        776	  0.80392	3.7e-003	       101
   2	GTAMTTA               DREME-17	GTAMTTA	1.5e-001	   6.2e-003	          -5.09	         0.0	      102	        204	         121	        188	  0.50000	6.1e-005	       101
   2	ASAATAG               DREME-21	ASAATAG	4.2e-009	   1.7e-010	         -22.52	         0.0	       78	        204	         221	        398	  0.38235	1.6e-012	       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).