<?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="5.4.1" release="Sat Aug 21 19:23:23 2021 -0700">
<training_set primary_sequences="/global/cscratch1/sd/mmingay/direct_rna_2021/pseudo_dev/combo_test_seedling//seedling_resampleOct18_clustering4_pad8.fasta" primary_count="5857" primary_positions="93712" control_sequences="--none--" control_count="0" control_positions="0">
<alphabet name="RNA" like="rna">
<letter id="A" symbol="A" name="Adenine" colour="CC0000"/>
<letter id="C" symbol="C" name="Cytosine" colour="0000CC"/>
<letter id="G" symbol="G" name="Guanine" colour="FFB300"/>
<letter id="U" symbol="U" aliases="T" name="Uracil" colour="008000"/>
<letter id="N" symbol="N" aliases="X." equals="ACGU" name="Any base"/>
<letter id="V" symbol="V" equals="ACG" name="Not U"/>
<letter id="H" symbol="H" equals="ACU" name="Not G"/>
<letter id="D" symbol="D" equals="AGU" name="Not C"/>
<letter id="B" symbol="B" equals="CGU" 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="AU" name="Weak"/>
<letter id="S" symbol="S" equals="CG" name="Strong"/>
<letter id="Y" symbol="Y" equals="CU" name="Pyrimidine"/>
<letter id="K" symbol="K" equals="GU" name="Keto"/>
</alphabet>
<letter_frequencies>
<alphabet_array>
<value letter_id="A">0.277</value>
<value letter_id="C">0.218</value>
<value letter_id="G">0.219</value>
<value letter_id="U">0.286</value>
</alphabet_array>
</letter_frequencies>
</training_set>
<model>
<command_line>meme /global/cscratch1/sd/mmingay/direct_rna_2021/pseudo_dev/combo_test_seedling//seedling_resampleOct18_clustering4_pad8.fasta -oc /global/cscratch1/sd/mmingay/direct_rna_2021/pseudo_dev/combo_test_seedling/meme_out_seedling_resampleOct18_clustering4_pad8/ -rna -maxsize 10000000 -mod zoops -nmotifs 5 -minw 3 -maxw 10 -p 2 </command_line>
<host>buildkitsandbox</host>
<type>zoops</type>
<nmotifs>5</nmotifs>
<evalue_threshold>inf</evalue_threshold>
<object_function>E-value of product of p-values</object_function>
<spfun>E-value of product of p-values</spfun>
<min_width>3</min_width>
<max_width>10</max_width>
<wg>11</wg>
<ws>1</ws>
<endgaps>yes</endgaps>
<substring>yes</substring>
<minsites>2</minsites>
<maxsites>5857</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>93712</num_positions>
<seed>0</seed>
<hsfrac>0</hsfrac>
<searchsize>93712</searchsize>
<maxsize>10000000</maxsize>
<norand>no</norand>
<csites>1000</csites>
<strands>none</strands>
<brief>1000</brief>
<psp_file></psp_file>
<priors_file></priors_file>
<reason_for_stopping>Stopped because requested number of motifs (5) found.</reason_for_stopping>
<background_frequencies source="--sequences--" order="0">
<alphabet_array>
<value letter_id="A">0.277</value>
<value letter_id="C">0.218</value>
<value letter_id="G">0.219</value>
<value letter_id="U">0.286</value>
</alphabet_array>
</background_frequencies>
</model>
<motifs>
<motif id="motif_1" name="CCAAG" alt="MEME-1" width="5" sites="245" ic="10.0" re="10.3" llr="1747" p_value="4.5e-142" e_value="1.7e-005" bayes_threshold="10.308" elapsed_time="131.100442">
<scores>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">-1458</value>
<value letter_id="C">220</value>
<value letter_id="G">-1458</value>
<value letter_id="U">-1458</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1458</value>
<value letter_id="C">220</value>
<value letter_id="G">-1458</value>
<value letter_id="U">-1458</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">185</value>
<value letter_id="C">-1458</value>
<value letter_id="G">-1458</value>
<value letter_id="U">-1458</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">185</value>
<value letter_id="C">-1458</value>
<value letter_id="G">-1458</value>
<value letter_id="U">-1458</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1458</value>
<value letter_id="C">-1458</value>
<value letter_id="G">219</value>
<value letter_id="U">-1458</value>
</alphabet_array>
</alphabet_matrix>
</scores>
<probabilities>
<alphabet_matrix>
<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="U">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="U">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="U">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="U">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">1.000000</value>
<value letter_id="U">0.000000</value>
</alphabet_array>
</alphabet_matrix>
</probabilities>
<regular_expression>
CCAAG
</regular_expression>
<contributing_sites>
</contributing_sites>
</motif>
<motif id="motif_2" name="KYAUCUGUUU" alt="MEME-2" width="10" sites="31" ic="15.4" re="14.7" llr="316" p_value="1.2e-046" e_value="8.4e-004" bayes_threshold="11.6675" elapsed_time="157.781423">
<scores>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">-1160</value>
<value letter_id="C">-1160</value>
<value letter_id="G">124</value>
<value letter_id="U">76</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1160</value>
<value letter_id="C">105</value>
<value letter_id="G">-44</value>
<value letter_id="U">44</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">180</value>
<value letter_id="C">-1160</value>
<value letter_id="G">-1160</value>
<value letter_id="U">-314</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1160</value>
<value letter_id="C">-1160</value>
<value letter_id="G">-1160</value>
<value letter_id="U">181</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1160</value>
<value letter_id="C">205</value>
<value letter_id="G">-1160</value>
<value letter_id="U">-156</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-110</value>
<value letter_id="C">-1160</value>
<value letter_id="G">-1160</value>
<value letter_id="U">161</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1160</value>
<value letter_id="C">-1160</value>
<value letter_id="G">219</value>
<value letter_id="U">-1160</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-210</value>
<value letter_id="C">-1160</value>
<value letter_id="G">-1160</value>
<value letter_id="U">171</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1160</value>
<value letter_id="C">-1160</value>
<value letter_id="G">-1160</value>
<value letter_id="U">181</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-110</value>
<value letter_id="C">-1160</value>
<value letter_id="G">-1160</value>
<value letter_id="U">161</value>
</alphabet_array>
</alphabet_matrix>
</scores>
<probabilities>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.516129</value>
<value letter_id="U">0.483871</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.451613</value>
<value letter_id="G">0.161290</value>
<value letter_id="U">0.387097</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.967742</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="U">0.032258</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="U">1.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.903226</value>
<value letter_id="G">0.000000</value>
<value letter_id="U">0.096774</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.129032</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="U">0.870968</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">1.000000</value>
<value letter_id="U">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.064516</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="U">0.935484</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="U">1.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.129032</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="U">0.870968</value>
</alphabet_array>
</alphabet_matrix>
</probabilities>
<regular_expression>
[GU][CU]AUCUGUUU
</regular_expression>
<contributing_sites>
</contributing_sites>
</motif>
<motif id="motif_3" name="CCDGAG" alt="MEME-3" width="6" sites="206" ic="9.3" re="9.9" llr="1414" p_value="9.4e-159" e_value="1.9e-003" bayes_threshold="10.2193" elapsed_time="183.905550">
<scores>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">-1433</value>
<value letter_id="C">220</value>
<value letter_id="G">-1433</value>
<value letter_id="U">-1433</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1433</value>
<value letter_id="C">220</value>
<value letter_id="G">-1433</value>
<value letter_id="U">-1433</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">43</value>
<value letter_id="C">-140</value>
<value letter_id="G">53</value>
<value letter_id="U">-32</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1433</value>
<value letter_id="C">-1433</value>
<value letter_id="G">219</value>
<value letter_id="U">-1433</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">185</value>
<value letter_id="C">-1433</value>
<value letter_id="G">-1433</value>
<value letter_id="U">-1433</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1433</value>
<value letter_id="C">39</value>
<value letter_id="G">171</value>
<value letter_id="U">-1433</value>
</alphabet_array>
</alphabet_matrix>
</scores>
<probabilities>
<alphabet_matrix>
<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="U">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="U">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.373786</value>
<value letter_id="C">0.082524</value>
<value letter_id="G">0.315534</value>
<value letter_id="U">0.228155</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">1.000000</value>
<value letter_id="U">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="U">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.286408</value>
<value letter_id="G">0.713592</value>
<value letter_id="U">0.000000</value>
</alphabet_array>
</alphabet_matrix>
</probabilities>
<regular_expression>
CC[AGU]GA[GC]
</regular_expression>
<contributing_sites>
</contributing_sites>
</motif>
<motif id="motif_4" name="GRAKCUGRAG" alt="MEME-4" width="10" sites="49" ic="12.8" re="13.1" llr="444" p_value="2.0e-057" e_value="1.6e-001" bayes_threshold="11.3048" elapsed_time="208.735709">
<scores>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">-218</value>
<value letter_id="C">-1226</value>
<value letter_id="G">210</value>
<value letter_id="U">-1226</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">94</value>
<value letter_id="C">-1226</value>
<value letter_id="G">110</value>
<value letter_id="U">-1226</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">124</value>
<value letter_id="C">-1226</value>
<value letter_id="G">-42</value>
<value letter_id="U">-64</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1226</value>
<value letter_id="C">-1226</value>
<value letter_id="G">153</value>
<value letter_id="U">36</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-376</value>
<value letter_id="C">162</value>
<value letter_id="G">-1226</value>
<value letter_id="U">10</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-376</value>
<value letter_id="C">-1226</value>
<value letter_id="G">-1226</value>
<value letter_id="U">178</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1226</value>
<value letter_id="C">-1226</value>
<value letter_id="G">207</value>
<value letter_id="U">-181</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">32</value>
<value letter_id="C">-1226</value>
<value letter_id="G">158</value>
<value letter_id="U">-1226</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">145</value>
<value letter_id="C">-1226</value>
<value letter_id="G">-1226</value>
<value letter_id="U">-22</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1226</value>
<value letter_id="C">-183</value>
<value letter_id="G">210</value>
<value letter_id="U">-1226</value>
</alphabet_array>
</alphabet_matrix>
</scores>
<probabilities>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">0.061224</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.938776</value>
<value letter_id="U">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.530612</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.469388</value>
<value letter_id="U">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.653061</value>
<value letter_id="C">0.000000</value>
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<value letter_id="U">0.183673</value>
</alphabet_array>
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<value letter_id="A">0.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.632653</value>
<value letter_id="U">0.367347</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.020408</value>
<value letter_id="C">0.673469</value>
<value letter_id="G">0.000000</value>
<value letter_id="U">0.306122</value>
</alphabet_array>
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<value letter_id="A">0.020408</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="U">0.979592</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.918367</value>
<value letter_id="U">0.081633</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.346939</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.653061</value>
<value letter_id="U">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.755102</value>
<value letter_id="C">0.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="U">0.244898</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.061224</value>
<value letter_id="G">0.938776</value>
<value letter_id="U">0.000000</value>
</alphabet_array>
</alphabet_matrix>
</probabilities>
<regular_expression>
G[AG]A[GU][CU]UG[GA][AU]G
</regular_expression>
<contributing_sites>
</contributing_sites>
</motif>
<motif id="motif_5" name="CAMUCCCGCS" alt="MEME-5" width="10" sites="13" ic="15.8" re="16.7" llr="151" p_value="5.0e-030" e_value="5.3e-001" bayes_threshold="12.787" elapsed_time="233.618272">
<scores>
<alphabet_matrix>
<alphabet_array>
<value letter_id="A">-1035</value>
<value letter_id="C">219</value>
<value letter_id="G">-1035</value>
<value letter_id="U">-1035</value>
</alphabet_array>
<alphabet_array>
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<value letter_id="C">-1035</value>
<value letter_id="G">-1035</value>
<value letter_id="U">-1035</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">96</value>
<value letter_id="C">108</value>
<value letter_id="G">-1035</value>
<value letter_id="U">-1035</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1035</value>
<value letter_id="C">-1035</value>
<value letter_id="G">-1035</value>
<value letter_id="U">181</value>
</alphabet_array>
<alphabet_array>
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<value letter_id="C">219</value>
<value letter_id="G">-1035</value>
<value letter_id="U">-1035</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1035</value>
<value letter_id="C">219</value>
<value letter_id="G">-1035</value>
<value letter_id="U">-1035</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1035</value>
<value letter_id="C">166</value>
<value letter_id="G">-1035</value>
<value letter_id="U">11</value>
</alphabet_array>
<alphabet_array>
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<value letter_id="C">49</value>
<value letter_id="G">166</value>
<value letter_id="U">-1035</value>
</alphabet_array>
<alphabet_array>
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<value letter_id="C">208</value>
<value letter_id="G">-151</value>
<value letter_id="U">-1035</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">-1035</value>
<value letter_id="C">130</value>
<value letter_id="G">108</value>
<value letter_id="U">-1035</value>
</alphabet_array>
</alphabet_matrix>
</scores>
<probabilities>
<alphabet_matrix>
<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="U">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="U">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.538462</value>
<value letter_id="C">0.461538</value>
<value letter_id="G">0.000000</value>
<value letter_id="U">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="U">1.000000</value>
</alphabet_array>
<alphabet_array>
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<value letter_id="C">1.000000</value>
<value letter_id="G">0.000000</value>
<value letter_id="U">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="U">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.692308</value>
<value letter_id="G">0.000000</value>
<value letter_id="U">0.307692</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.307692</value>
<value letter_id="G">0.692308</value>
<value letter_id="U">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.923077</value>
<value letter_id="G">0.076923</value>
<value letter_id="U">0.000000</value>
</alphabet_array>
<alphabet_array>
<value letter_id="A">0.000000</value>
<value letter_id="C">0.538462</value>
<value letter_id="G">0.461538</value>
<value letter_id="U">0.000000</value>
</alphabet_array>
</alphabet_matrix>
</probabilities>
<regular_expression>
CA[AC]UCC[CU][GC]C[CG]
</regular_expression>
<contributing_sites>
</contributing_sites>
</motif>
</motifs>
</MEME>
