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MEME - Motif discovery tool
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MEME version 5.5.5 (Release date: Thu Sep 14 08:48:04 2023 +1000)

For further information on how to interpret these results please access https://meme-suite.org/meme.
To get a copy of the MEME Suite software please access https://meme-suite.org.

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REFERENCE
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If you use this program in your research, please cite:

Timothy L. Bailey and Charles Elkan,
"Fitting a mixture model by expectation maximization to
discover motifs in biopolymers",
Proceedings of the Second International Conference on Intelligent Systems
for Molecular Biology, pp. 28-36, AAAI Press, Menlo Park, California, 1994.
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TRAINING SET
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PRIMARY SEQUENCES= MOA1_loss_diff.fa
CONTROL SEQUENCES= --none--
ALPHABET= ACGT

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COMMAND LINE SUMMARY
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This information can also be useful in the event you wish to report a
problem with the MEME software.

command: meme -oc meme_out -mod zoops -minw 6 -maxw 15 -bfile ./background -markov_order 0 -seed 0 -dna -revcomp -evt 0.05 -nostatus -time 7137 -searchsize 100000 MOA1_loss_diff.fa 

model:  mod=         zoops    nmotifs=      1000    evt=          0.05
objective function:           em=       E-value of product of p-values
                              starts=   E-value of product of p-values
strands: + -
width:  minw=            6    maxw=           15
nsites: minsites=        2    maxsites=     1227    wnsites=       0.8
theta:  spmap=         uni    spfuzz=        0.5
em:     prior=   dirichlet    b=            0.01    maxiter=        50
        distance=    1e-05
trim:   wg=             11    ws=              1    endgaps=       yes
data:   n=           29094    N=            1227
sample: seed=            0    hsfrac=          0
        searchsize=  29094    norand=         no    csites=       1000
Letter frequencies in dataset:
A 0.311 C 0.189 G 0.189 T 0.311 
Background letter frequencies (from file ./background):
A 0.311 C 0.189 G 0.189 T 0.311 
Background model order: 0
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Stopped because the next motif E-value > 5.00e-02.
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CPU: noble-meme.grid.gs.washington.edu

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