Task

Task #1604 - 103.fst, group: good240b8c30__def10369

Description:

Status	Start	End	Updated	Duration	Sequences	Logs	Task Bundle
finished	4 years ago	4 years ago	4 years ago	8 minutes (502sec)	Positive, Negative	Float, Integer,	Open

Results

Motif	Occurrence(%)	Expected(%)	-log10(Binomial prob)
ACCCMSMM	62.5	5.73774	499.665
KSKGGGTN	63.9	11.1475	344.907
SKGGGTNN	67.8	21.057	220.416
CCCMSMMN	67.3	21.057	215.955
KGGGTNHN	61.5	29.8653	94.1012
CCMSAMNV	48.9	29.8653	36.045
GGGTHNHV	51.5	32.9098	33.144
KGGGTNGN	22.2	11.1475	23.0518
CCMSCMKN	32.7	21.057	17.4392
GGGTNHGD	20.6	12.451	12.8609
AVKTSBGG	19.4	12.451	9.91196
GGGTGVHN	19.2	12.451	9.45879

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]