# WARNING: this file is not sorted!
# db	id                         alt	 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	neg_sites_in_bin	neg_sites	neg_adj_pvalue	log_neg_adj_pvalue	fisher_adj_pvalue	log_fisher_adj_pvalue
   1	MA0090.2                 TEAD1	7.7e-022	   1.5e-024	         -54.87	         0.0	      135	        491	         196	        359	  0.27495	6.1e-027	       245	          32	        153	1.0e0000	           0.00		4.3e-010	         -21.56	
   1	MA0139.1                  CTCF	2.4e0000	   4.6e-003	          -5.39	         0.0	      144	        482	          73	        160	  0.29876	1.9e-005	       240	          13	         52	1.0e0000	           0.00		7.6e-001	          -0.27	
   1	MA0599.1                  KLF5	5.5e0000	   1.1e-002	          -4.55	         0.0	      453	        491	         296	        303	  0.92261	4.3e-005	       245	          92	         99	1.0e0000	           0.00		1.0e0000	          -0.00	
   1	MA0808.1                 TEAD3	2.2e-036	   4.2e-039	         -88.37	         0.0	      135	        493	         194	        299	  0.27383	1.7e-041	       246	          24	         97	1.0e0000	           0.00		8.5e-010	         -20.88	
   1	MA0809.1                 TEAD4	3.5e-025	   6.7e-028	         -62.57	         0.0	      135	        491	         200	        353	  0.27495	2.7e-030	       245	          32	        152	1.0e0000	           0.00		1.1e-011	         -25.23	
##
# 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.
# 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).
# neg_sites_in_bin:	The number of negative sequences where the best
#	match to the motif falls in the reported region.
#	This value is rounded but the underlying value may contain
#	fractional counts.
#	Note: This number may be less than the number of negative 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.
# neg_sites:	The number of negative sequences containing a match to the
#	motif above the minimum score threshold.
#	When score optimization is enabled the score threshold may be raised
#	higher than the minimum.
# neg_adj_pvalue:	The probability that any tested region in the negative
#	sequences would be as enriched for best matches to this motif
#	according to the Binomial test.
# log_neg_adj_pvalue:	Log of negative adjusted p-value.
# fisher_adj_pvalue:	Fisher adjusted p-value before it gets adjusted to the
#	number of motifs in the input database(s).
#	Refers to the E-value definition using the discriminative mode.
# log_fisher_adj_pvalue:	Log of Fisher adjusted p-value.