<?xml version='1.0' encoding='UTF-8' standalone='yes'?>
<!-- Document definition -->
<!DOCTYPE MEME[
<!ELEMENT MEME (
  training_set,
  model, 
  motifs, 
  scanned_sites_summary?
)>
<!ATTLIST MEME 
  version CDATA #REQUIRED
  release CDATA #REQUIRED
>
<!-- Training-set elements -->
<!ELEMENT training_set (alphabet, ambigs, sequence*, letter_frequencies)>
<!ATTLIST training_set primary_sequences CDATA #REQUIRED primary_count CDATA #REQUIRED primary_positions CDATA #REQUIRED
  control_sequences CDATA "" control_count CDATA "" control_positions CDATA "">
<!ELEMENT alphabet (letter*)>
<!ATTLIST alphabet name CDATA #REQUIRED>
<!ELEMENT ambigs (letter*)>
<!ELEMENT letter EMPTY>
<!ATTLIST letter id ID #REQUIRED>
<!ATTLIST letter symbol CDATA #REQUIRED>
<!ATTLIST letter equals CDATA #IMPLIED>
<!ATTLIST letter aliases CDATA #IMPLIED>
<!ATTLIST letter complement CDATA #IMPLIED>
<!ATTLIST letter name CDATA #IMPLIED>
<!ATTLIST letter colour CDATA #IMPLIED>
<!ELEMENT sequence EMPTY>
<!ATTLIST sequence id ID #REQUIRED
                   name CDATA #REQUIRED
                   length CDATA #REQUIRED
                   weight CDATA #REQUIRED
>
<!ELEMENT letter_frequencies (alphabet_array)>

<!-- Model elements -->
<!ELEMENT model (
  command_line,
  host,
  type,
  nmotifs,
  evalue_threshold,
  object_function,
  spfun,
  min_width,
  max_width,
  wg,
  ws,
  endgaps,
  minsites,
  maxsites,
  wnsites,
  spmap,
  spfuzz,
  prior,
  beta,
  maxiter,
  distance,
  num_positions,
  seed,
  hsfrac,
  searchsize,
  maxsize,
  norand,
  csites,
  strands,
  brief,
  psp_file,
  priors_file,
  reason_for_stopping,
  background_frequencies
)>
<!ELEMENT command_line (#PCDATA)*>
<!ELEMENT host (#PCDATA)*>
<!ELEMENT type (#PCDATA)*>
<!ELEMENT nmotifs (#PCDATA)*>
<!ELEMENT evalue_threshold (#PCDATA)*>
<!ELEMENT object_function (#PCDATA)*>
<!ELEMENT spfun (#PCDATA)*>
<!ELEMENT min_width (#PCDATA)*>
<!ELEMENT max_width (#PCDATA)*>
<!ELEMENT wg (#PCDATA)*>
<!ELEMENT ws (#PCDATA)*>
<!ELEMENT endgaps (#PCDATA)*>
<!ELEMENT minsites (#PCDATA)*>
<!ELEMENT maxsites (#PCDATA)*>
<!ELEMENT wnsites (#PCDATA)*>
<!ELEMENT spmap (#PCDATA)*>
<!ELEMENT spfuzz (#PCDATA)*>
<!ELEMENT prior (#PCDATA)*>
<!ELEMENT beta (#PCDATA)*>
<!ELEMENT maxiter (#PCDATA)*>
<!ELEMENT distance (#PCDATA)*>
<!ELEMENT num_positions (#PCDATA)*>
<!ELEMENT seed (#PCDATA)*>
<!ELEMENT hsfrac (#PCDATA)*>
<!ELEMENT searchsize (#PCDATA)*>
<!ELEMENT maxsize (#PCDATA)*>
<!ELEMENT norand (#PCDATA)*>
<!ELEMENT csites (#PCDATA)*>
<!ELEMENT strands (#PCDATA)*>
<!ELEMENT brief (#PCDATA)*>
<!ELEMENT psp_file (#PCDATA)*>
<!ELEMENT priors_file (#PCDATA)*>
<!ELEMENT reason_for_stopping (#PCDATA)*>
<!ELEMENT background_frequencies (alphabet_array)>
<!ATTLIST background_frequencies source CDATA #REQUIRED
		   order CDATA #REQUIRED>

<!-- Motif elements -->
<!ELEMENT motifs (motif*)>
<!ELEMENT motif (scores, probabilities, regular_expression?, contributing_sites)>
<!ATTLIST motif id ID #REQUIRED
                name CDATA #REQUIRED
                alt CDATA ""
                width CDATA #REQUIRED
                sites CDATA #REQUIRED
                ic CDATA #REQUIRED
                re CDATA #REQUIRED
                llr CDATA #REQUIRED
                p_value CDATA #REQUIRED
                e_value CDATA #REQUIRED
                bayes_threshold CDATA #REQUIRED
                elapsed_time CDATA #REQUIRED
                url CDATA ""
>
<!ELEMENT scores (alphabet_matrix)>
<!ELEMENT probabilities (alphabet_matrix)>
<!ELEMENT regular_expression (#PCDATA)*>

<!-- Contributing site elements -->
<!-- Contributing sites are motif occurences found during the motif discovery phase -->
<!ELEMENT contributing_sites (contributing_site*)>
<!ELEMENT contributing_site (left_flank, site, right_flank)>
<!ATTLIST contributing_site sequence_id IDREF #REQUIRED
                          position CDATA #REQUIRED
                          strand (plus|minus|none) 'none'
                          pvalue CDATA #REQUIRED
>
<!-- The left_flank contains the sequence for 10 bases to the left of the motif start -->
<!ELEMENT left_flank (#PCDATA)>
<!-- The site contains the sequence for the motif instance -->
<!ELEMENT site (letter_ref*)>
<!-- The right_flank contains the sequence for 10 bases to the right of the motif end -->
<!ELEMENT right_flank (#PCDATA)>

<!-- Scanned site elements -->
<!-- Scanned sites are motif occurences found during the sequence scan phase -->
<!ELEMENT scanned_sites_summary (scanned_sites*)>
<!ATTLIST scanned_sites_summary p_thresh CDATA #REQUIRED>
<!ELEMENT scanned_sites (scanned_site*)>
<!ATTLIST scanned_sites sequence_id IDREF #REQUIRED
                        pvalue CDATA #REQUIRED
                        num_sites CDATA #REQUIRED>
<!ELEMENT scanned_site EMPTY>
<!ATTLIST scanned_site  motif_id IDREF #REQUIRED
                        strand (plus|minus|none) 'none'
                        position CDATA #REQUIRED
                        pvalue CDATA #REQUIRED>

<!-- Utility elements -->
<!-- A reference to a letter in the alphabet -->
<!ELEMENT letter_ref EMPTY>
<!ATTLIST letter_ref letter_id IDREF #REQUIRED>
<!-- A alphabet-array contains one floating point value for each letter in an alphabet -->
<!ELEMENT alphabet_array (value*)>
<!ELEMENT value (#PCDATA)>
<!ATTLIST value letter_id IDREF #REQUIRED>

<!-- A alphabet_matrix contains one alphabet_array for each position in a motif -->
<!ELEMENT alphabet_matrix (alphabet_array*)>

]>
<!-- Begin document body -->
<MEME version="5.4.0" release="Mon Aug 16 16:18:19 2021 -0700">
<training_set primary_sequences="nrmix.nseqs.100.100bp.seed.1.fa" primary_count="2100" primary_positions="210000" control_sequences="--none--" control_count="0" control_positions="0">
<alphabet name="DNA" like="dna">
<letter id="A" symbol="A" complement="T" name="Adenine" colour="CC0000"/>
<letter id="C" symbol="C" complement="G" name="Cytosine" colour="0000CC"/>
<letter id="G" symbol="G" complement="C" name="Guanine" colour="FFB300"/>
<letter id="T" symbol="T" aliases="U" complement="A" name="Thymine" colour="008000"/>
<letter id="N" symbol="N" aliases="X." equals="ACGT" name="Any base"/>
<letter id="V" symbol="V" equals="ACG" name="Not T"/>
<letter id="H" symbol="H" equals="ACT" name="Not G"/>
<letter id="D" symbol="D" equals="AGT" name="Not C"/>
<letter id="B" symbol="B" equals="CGT" name="Not A"/>
<letter id="M" symbol="M" equals="AC" name="Amino"/>
<letter id="R" symbol="R" equals="AG" name="Purine"/>
<letter id="W" symbol="W" equals="AT" name="Weak"/>
<letter id="S" symbol="S" equals="CG" name="Strong"/>
<letter id="Y" symbol="Y" equals="CT" name="Pyrimidine"/>
<letter id="K" symbol="K" equals="GT" name="Keto"/>
</alphabet>
<letter_frequencies>
<alphabet_array>
<value letter_id="A">0.222</value>
<value letter_id="C">0.278</value>
<value letter_id="G">0.278</value>
<value letter_id="T">0.222</value>
</alphabet_array>
</letter_frequencies>
</training_set>
<model>
<command_line>meme -oc xstreme_example_output_files/meme_out -mod zoops -minw 6 -maxw 15 -bfile xstreme_example_output_files/background -markov_order 2 -seed 0 -dna -revcomp -evt 0.05 -nostatus nrmix.nseqs.100.100bp.seed.1.fa -mpi </command_line>
<host>Timothys-Mac-Mini.local</host>
<type>zoops</type>
<nmotifs>1000</nmotifs>
<evalue_threshold>0.05</evalue_threshold>
<object_function>E-value of product of p-values</object_function>
<spfun>E-value of product of p-values</spfun>
<min_width>6</min_width>
<max_width>15</max_width>
<wg>11</wg>
<ws>1</ws>
<endgaps>yes</endgaps>
<substring>yes</substring>
<minsites>2</minsites>
<maxsites>2100</maxsites>
<wnsites>0.8</wnsites>
<spmap>uni</spmap>
<spfuzz>0.5</spfuzz>
<prior>dirichlet</prior>
<beta>0.01</beta>
<maxiter>50</maxiter>
<distance>1e-05</distance>
<num_positions>210000</num_positions>
<seed>0</seed>
<hsfrac>0</hsfrac>
<searchsize>100000</searchsize>
<maxsize>0</maxsize>
<norand>no</norand>
<csites>1000</csites>
<strands>both</strands>
<brief>1000</brief>
<psp_file></psp_file>
<priors_file></priors_file>
<reason_for_stopping>Stopped because the next motif E-value > 5.00e-02.</reason_for_stopping>
<background_frequencies source="xstreme_example_output_files/background" order="2">
<alphabet_array>
<value letter_id="A">0.222</value>
<value letter_id="C">0.278</value>
<value letter_id="G">0.278</value>
<value letter_id="T">0.222</value>
</alphabet_array>
</background_frequencies>
</model>
<motifs>
<motif id="motif_1" name="TTTTYTTTTYTTTYW" alt="MEME-1" width="15" sites="154" ic="14.1" re="15.6" llr="1662" p_value="2.9e-374" e_value="2.7e-059" bayes_threshold="11.6444" elapsed_time="157.650254">
<scores>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">-509</value>
<value letter_id="C">-78</value>
<value letter_id="G">-1391</value>
<value letter_id="T">191</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-92</value>
<value letter_id="C">-1391</value>
<value letter_id="G">-103</value>
<value letter_id="T">175</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">23</value>
<value letter_id="C">-542</value>
<value letter_id="G">-1391</value>
<value letter_id="T">173</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-119</value>
<value letter_id="C">-142</value>
<value letter_id="G">-67</value>
<value letter_id="T">149</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-164</value>
<value letter_id="C">28</value>
<value letter_id="G">-90</value>
<value letter_id="T">99</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-277</value>
<value letter_id="C">-1391</value>
<value letter_id="G">-1391</value>
<value letter_id="T">212</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1391</value>
<value letter_id="C">-210</value>
<value letter_id="G">-225</value>
<value letter_id="T">198</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-5</value>
<value letter_id="C">-78</value>
<value letter_id="G">-133</value>
<value letter_id="T">121</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-209</value>
<value letter_id="C">-6</value>
<value letter_id="G">-210</value>
<value letter_id="T">148</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-85</value>
<value letter_id="C">31</value>
<value letter_id="G">-151</value>
<value letter_id="T">97</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1391</value>
<value letter_id="C">-1391</value>
<value letter_id="G">-1391</value>
<value letter_id="T">217</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1391</value>
<value letter_id="C">-310</value>
<value letter_id="G">7</value>
<value letter_id="T">161</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1391</value>
<value letter_id="C">-1391</value>
<value letter_id="G">-383</value>
<value letter_id="T">214</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-509</value>
<value letter_id="C">62</value>
<value letter_id="G">-61</value>
<value letter_id="T">79</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">63</value>
<value letter_id="C">-67</value>
<value letter_id="G">-1391</value>
<value letter_id="T">111</value>
</alphabet_array>
</alphabet_matrix>
</scores>
<probabilities>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">0.006494</value>
<value letter_id="C">0.162338</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">0.831169</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.116883</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.136364</value>
<value letter_id="T">0.746753</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.259740</value>
<value letter_id="C">0.006494</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">0.733766</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.097403</value>
<value letter_id="C">0.103896</value>
<value letter_id="G">0.175325</value>
<value letter_id="T">0.623377</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.071429</value>
<value letter_id="C">0.337662</value>
<value letter_id="G">0.149351</value>
<value letter_id="T">0.441558</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.032468</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">0.967532</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.064935</value>
<value letter_id="G">0.058442</value>
<value letter_id="T">0.876623</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.214286</value>
<value letter_id="C">0.162338</value>
<value letter_id="G">0.110390</value>
<value letter_id="T">0.512987</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.051948</value>
<value letter_id="C">0.266234</value>
<value letter_id="G">0.064935</value>
<value letter_id="T">0.616883</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.123377</value>
<value letter_id="C">0.344156</value>
<value letter_id="G">0.097403</value>
<value letter_id="T">0.435065</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">1.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.032468</value>
<value letter_id="G">0.292208</value>
<value letter_id="T">0.675325</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.019481</value>
<value letter_id="T">0.980519</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.006494</value>
<value letter_id="C">0.428571</value>
<value letter_id="G">0.181818</value>
<value letter_id="T">0.383117</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.344156</value>
<value letter_id="C">0.175325</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">0.480519</value>
</alphabet_array>
</alphabet_matrix>
</probabilities>
<regular_expression>
TT[TA]T[TC]TT[TA][TC][TC]T[TG]T[CT][TA]
</regular_expression>
<contributing_sites>
</contributing_sites>
</motif>
<motif id="motif_2" name="VATGACTCAG" alt="MEME-2" width="10" sites="210" ic="14.5" re="14.7" llr="2135" p_value="1.5e-461" e_value="3.5e-062" bayes_threshold="12.0454" elapsed_time="238.949020">
<scores>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">-2</value>
<value letter_id="C">-17</value>
<value letter_id="G">38</value>
<value letter_id="T">-37</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">152</value>
<value letter_id="C">-217</value>
<value letter_id="G">11</value>
<value letter_id="T">-1436</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1436</value>
<value letter_id="C">-1436</value>
<value letter_id="G">-1436</value>
<value letter_id="T">217</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1436</value>
<value letter_id="C">-1436</value>
<value letter_id="G">183</value>
<value letter_id="T">-396</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">217</value>
<value letter_id="C">-1436</value>
<value letter_id="G">-1436</value>
<value letter_id="T">-1436</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-554</value>
<value letter_id="C">146</value>
<value letter_id="G">-48</value>
<value letter_id="T">-296</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1436</value>
<value letter_id="C">-1436</value>
<value letter_id="G">-1436</value>
<value letter_id="T">217</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-354</value>
<value letter_id="C">182</value>
<value letter_id="G">-1436</value>
<value letter_id="T">-1436</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">217</value>
<value letter_id="C">-1436</value>
<value letter_id="G">-1436</value>
<value letter_id="T">-1436</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-322</value>
<value letter_id="C">-170</value>
<value letter_id="G">138</value>
<value letter_id="T">-41</value>
</alphabet_array>
</alphabet_matrix>
</scores>
<probabilities>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">0.219048</value>
<value letter_id="C">0.247619</value>
<value letter_id="G">0.361905</value>
<value letter_id="T">0.171429</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.638095</value>
<value letter_id="C">0.061905</value>
<value letter_id="G">0.300000</value>
<value letter_id="T">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">1.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.985714</value>
<value letter_id="T">0.014286</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">1.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.004762</value>
<value letter_id="C">0.766667</value>
<value letter_id="G">0.200000</value>
<value letter_id="T">0.028571</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">1.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.019048</value>
<value letter_id="C">0.980952</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">1.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.023810</value>
<value letter_id="C">0.085714</value>
<value letter_id="G">0.723810</value>
<value letter_id="T">0.166667</value>
</alphabet_array>
</alphabet_matrix>
</probabilities>
<regular_expression>
[GCA][AG]TGA[CG]TCAG
</regular_expression>
<contributing_sites>
</contributing_sites>
</motif>
<motif id="motif_3" name="SCCCCGCCCCC" alt="MEME-3" width="11" sites="324" ic="14.1" re="12.9" llr="2905" p_value="9.2e-611" e_value="1.3e-045" bayes_threshold="11.2494" elapsed_time="321.038027">
<scores>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">-178</value>
<value letter_id="C">3</value>
<value letter_id="G">86</value>
<value letter_id="T">-61</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-208</value>
<value letter_id="C">140</value>
<value letter_id="G">-1498</value>
<value letter_id="T">-6</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1498</value>
<value letter_id="C">152</value>
<value letter_id="G">-217</value>
<value letter_id="T">-68</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-192</value>
<value letter_id="C">175</value>
<value letter_id="G">-1498</value>
<value letter_id="T">-616</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1498</value>
<value letter_id="C">185</value>
<value letter_id="G">-1498</value>
<value letter_id="T">-1498</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-33</value>
<value letter_id="C">-1498</value>
<value letter_id="G">121</value>
<value letter_id="T">-29</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1498</value>
<value letter_id="C">179</value>
<value letter_id="G">-291</value>
<value letter_id="T">-1498</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1498</value>
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[GC][CT]CCCGCC[CT]CC
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CCA[CG][CT]AG[GA][GT]GGC[GA][CG][TC]
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CTTATCT
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</contributing_sites>
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<regular_expression>
[GA]ACTACA[TA][CT]TCCCAG
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</motif>
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TGCACTCCAGCCTGG
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[GA]CGC[CA][TC]GCGC[GA]
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<value letter_id="G">0.900000</value>
<value letter_id="T">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">1.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">1.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.150000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.850000</value>
<value letter_id="T">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.150000</value>
<value letter_id="C">0.650000</value>
<value letter_id="G">0.100000</value>
<value letter_id="T">0.100000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.100000</value>
<value letter_id="C">0.900000</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="T">1.000000</value>
</alphabet_array>
</alphabet_matrix>
</probabilities>
<regular_expression>
[AG]G[CG]T[CA]A[CT][TCA]GCAGCCT
</regular_expression>
<contributing_sites>
</contributing_sites>
</motif>
</motifs>
</MEME>
