Task

Task #2526 - 187.fst, group: 240b8c1_c95d1eab

Description:

Status	Start	End	Updated	Duration	Sequences	Logs	Task Bundle
finished	4 years ago	4 years ago	4 years ago	a minute (84sec)	Positive, Negative	Float, Integer,	Open

Results

Motif	Occurrence(%)	Expected(%)	-log10(Binomial prob)
CAGAAGAG	60.0	0.368585	1170.02
TCTTCTGN	59.8	1.46624	808.14
AGAAGAGN	59.7	1.46624	806.141
CTTCTGNN	61.1	5.73774	479.741
GAAGAGNN	60.6	5.73774	472.689
AAGAGNNN	67.7	21.057	219.52
TTCTGNNN	66.0	21.057	204.585
TCTGHVVN	52.3	32.9098	36.1498
AGAGBNVB	51.8	32.9098	34.1622
AGAGNNTN	32.2	21.057	16.1599
TCTGGBNN	26.0	16.2481	14.8412
AGAGANVN	23.5	16.2481	9.09909
TCTGHTNN	23.3	16.2481	8.70345
GAGDCHRD	25.4	18.0847	8.70164
CTGRDWHD	41.2	32.9098	8.10927

Parameters

Search parameters Complementary Statistical test type(score) Use Bonferroni correction for binomial score Skip motifs shifted by 1 symbol Motif filtering Minimum motif score Maximum number of results Positive sequences Sequences set Open Maximum motif presence by chance(%) Minimum motif presence in sequences set(%) Contrast sequences Contrast sequences set set Open Maximum motif score in the contrast set of sequences Statistic parameters Using of real frequencies Markov state length Add first run - exclude sequence if motif found Minimum percentage of remaining sequences.
0 - disable run

parameters in ini format

1		Complementarity. 0 - forward strand. 1 - forward + reverse strand.
8		Minimum motif score
35		Maximum presence of motif for random reasons in the positive set of sequences [0-100]
5		Minimum presence of motif in the positive set of sequences [0-100]
pos.fst		File with positive set of sequences
0		0 - neutral frequencies, 1 - real nucleotide frequencies in the set of sequences [0, 1]
1		Score type: 0 - chi-squared or 1 - binomial [0, 1]
0		Maximum number of result motifs. 0 - reveal all significant motifs [0, ]
0		Markov chain order (0-Bernulli, 1-dinucleotide, 2-trinucleotide), when using real nucleotide frequencies [0-3]
0		Unsupported param
0		 Minimum % of remaining sequences. First run - exclude sequences if motif found. 0 - disable. [0, 100]
neg.fst		File with the contrast set of sequences
10		Maximum score in the contrast set of sequences
0		Unsupported param
0		Output results with Bonferroni correction [0, 1]
a.txt		Results file
1		Write integer results. 0 - real values, 1 - integer [0, 1]
0		Skip motifs that coincide with the previous ones with a shift [0, 1]