# 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
   2	M0424_1.02 (SNAI3)_(Mus_musculus)_(DBD_0.75)	NNTGACAKNN	1.1e0000	   1.5e-003	          -6.49	         0.0	       11	         59	           7	          8	  0.18644	5.2e-005	        29
   2	M0901_1.02          AC226150.2	CWTGTCAA	4.5e0000	   6.1e-003	          -5.10	         0.0	       11	         61	           6	          7	  0.18033	2.0e-004	        30
   2	M1528_1.02 (RFX6)_(Mus_musculus)_(DBD_0.66)	VCNTRGYWAC	4.4e0000	   6.0e-003	          -5.12	         0.0	        3	         59	           4	          7	  0.05085	2.1e-004	        29
   2	M5435_1.02               FOXB1	TCGCYGTGTCATTC	2.0e-001	   2.6e-004	          -8.24	         0.0	       13	         55	           8	          8	  0.23636	9.7e-006	        27
   2	M5621_1.02               MEIS3	SCTGTCAH	9.3e-001	   1.3e-003	          -6.68	         0.0	       11	         61	           7	          8	  0.18033	4.2e-005	        30
   2	M6199_1.02                EGR2	DGVGTGGGCGG	2.0e-002	   2.7e-005	         -10.52	         0.0	        2	         58	           5	          7	  0.03448	9.7e-007	        28
   2	M6200_1.02                EGR3	WGAGTGGGYGT	4.2e-001	   5.6e-004	          -7.49	         0.0	        2	         58	           4	          6	  0.03448	2.0e-005	        28
   2	M6267_1.02               GLIS3	GYGGGGGGTM	5.3e-001	   7.1e-004	          -7.26	         0.0	        5	         59	           5	          6	  0.08475	2.4e-005	        29
   2	M6274_1.02                HIC1	GGGKTGCCC	1.4e-001	   1.9e-004	          -8.59	         0.0	        6	         60	           6	          7	  0.10000	6.4e-006	        29
   2	M6333_1.02                MAFG	MATGACT	1.5e-001	   2.0e-004	          -8.50	         0.0	       14	         62	           8	          8	  0.22581	6.8e-006	        30
   2	M6359_1.02              NFE2L1	NATGACD	1.5e-001	   2.0e-004	          -8.50	         0.0	       14	         62	           8	          8	  0.22581	6.8e-006	        30
   2	M6360_1.02              NFE2L2	VRTGACTCAGCA	1.1e0000	   1.4e-003	          -6.56	         0.0	       19	         57	           9	          9	  0.33333	5.1e-005	        28
   2	M6542_1.02               ZBTB6	VGRTGATRGAGCC	9.0e0000	   1.2e-002	          -4.41	         0.0	       12	         56	           5	          5	  0.21429	4.5e-004	        27
   2	M6550_1.02                ZIC3	BGGGTGGYC	1.4e-001	   1.9e-004	          -8.59	         0.0	        6	         60	           6	          7	  0.10000	6.4e-006	        29
##
# 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).