MEME

For further information on how to interpret these results or to get a copy of the MEME software please access http://meme.nbcr.net.

If you use MEME in your research, please cite the following paper:
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.

Discovered Motifs   |   Block diagrams of Motifs   |   Program information   |   Explanation

Discovered Motifs

Motif Overview

Motif 1
  • 3.1e-049
  • 273 sites
Motif 1 Logo Motif 1 Logo
Motif 2
  • 8.5e-007
  • 32 sites
Motif 2 Logo Motif 2 Logo
Motif 3
  • 5.7e-002
  • 21 sites
Motif 3 Logo Motif 3 Logo

Further Analysis

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Motif 1

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Summary

Sequence Logo

E-value 3.1e-049
Width 15
Sites 273
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PNG LOGOS require CONVERT from ImageMagick; see MEME installation guide

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   Orientation:    SSC:    Format:    Width: cm    Height: cm   

Regular expression

[TGC]C[CT][TA]TT[GC][TA][TCG][ATC]T[TG][CTG][ATC][AG]

Further Analysis

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Data Formats

View the motif in PSPM Format 
     PSSM Format 
     BLOCKS Format 
     FASTA Format 
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Sites

Click on any row to highlight sequence in all motifs.

Name Strand Start p-value Sites
EP_155 - 21 3.36e-08 TTTATGCAGT GCCTTTGTTCTGCAA AGTGCTGAAC
EP_263 + 36 4.82e-07 ACAAGCACTA TCCTTTGTTGTGCAA ATAGATGTAG
EP_103 + 50 4.82e-07 CTTGATCGCT TCCTTTCTCATGTAA ACGGATACAG
EP_61 + 36 4.82e-07 TAGTCCAAAG TCCTTTGTCATTTTA CGCGCTCCCT
EP_237 + 76 6.98e-07 GGACTAGCTG GCCTTTGTTATGTTA CTTTTTCTT
EP_156 - 16 1.89e-06 TAAGCATTTC CCCATTGTCCTGCAA GCACAGCCTT
EP_139 + 5 1.89e-06 AACTT TCCTTTGTTCTCCAG AGAGGTCACC
EP_86 - 49 1.89e-06 CAGGGTTATT TCCTTTCTTATGGGA ATGGAGCCTC
EP_216 + 22 2.56e-06 CTCAAGTGCT CCCTTTCTTTTGTAA CCCACAGGAA
EP_184 - 27 2.56e-06 CAATCTGCCC TCTTTTGTTATTTAA CCACTCCCCA
EP_203 + 33 3.43e-06 AACTGGAATG CCCTTTGTCATTGAG ACATCATTAG
EP_22 + 52 3.43e-06 TGAAAGCAGC TCCTTTCTCCTTTTG TTCCACGCCA
EP_130 + 35 4.51e-06 ATAATTGCTC TCCTTTGTTCTGATG CAATTGGGAG
EP_125 - 32 5.87e-06 CTCCCATGTG TCCATTGTCCTTGTG TGGTGGTATT
EP_102 - 53 7.57e-06 CAGGGTTTCC TCCTTTGTCATGAGA ATGAAGCCAA
EP_33 + 45 7.57e-06 GGAACCCATG TCTTTTGTTATTCAT AGATGTAATG
EP_145 - 70 9.66e-06 GCATAGCCCA TCTATTCTTATGCAA ATATAATCCC
EP_124 + 52 9.66e-06 CGCTGCGACC TCCATTGTGCTGTGA GCACCAGGGA
EP_85 - 0 9.66e-06 TGTAGATGCC GCCTTTCTTTTCCTA
EP_255 - 16 1.22e-05 TTTTAATTGC TCTTTTGTTGTTGAA TTGTAAGAAG
EP_180 + 46 1.53e-05 GTTTGTGTTT CCTTTTGTTATTTTA AAGTCGGTGT
EP_17 + 6 1.53e-05 TATTCA TCCATTGTCATTATA TACAGTGACT
EP_239 - 30 1.90e-05 GCTATCATGC ACCTTTGTTATGCAT CTGCCGTCTG
EP_225 + 10 1.90e-05 CATGAAAGTT TCCTTTCAGCTGTTA ATGTATTCTA
EP_81 - 28 1.90e-05 AGGGTCGGGC CCCATTGTGATTTCA ACGACTCCGA
EP_56 - 48 1.90e-05 CAATCAGGGA GCCTTTGTTCTCTAT TGTTATCCTG
EP_267 - 40 2.34e-05 TGGATTGCCT GCCTTTCATCTTTTA TCTCCGAAAT
EP_192 - 66 2.34e-05 ACTACTCACT GCCATTGTTCTTGCC ACTGGGTTCT
EP_189 - 53 2.34e-05 AAATGGATTG TCCTTTGTGGTTGAC AGTCTTCCCT
EP_149 + 40 2.34e-05 CTTGCTTCAG CCCTTTGTCTTTTCC TTTGTTGGGT
EP_71 + 28 2.34e-05 GATCATCATA GCCATTGTTATTGCT ACTGCAAACA
EP_218 + 1 2.87e-05 G GCTTTTGATCTGCTA GTTAAGGCCC
EP_187 + 27 2.87e-05 GAAACCAACC TCCTTTCTCTCTTTA ATCACCGCTA
EP_159 + 55 2.87e-05 TTCAATCACT TCCTTTGTGAAGCAC TGAGCATCAC
EP_127 + 43 2.87e-05 CAGCAATCCA TCCTTTGTATTGCTT GAGCACTTAC
EP_58 - 63 2.87e-05 AACTGTTGTT TCTTTTGTTGTGCAT ATGTGCATTG
EP_1 - 25 2.87e-05 TTACAAAAGC TCTTTTCATATTCAA AGATGGTGCC
EP_208 - 74 3.49e-05 CCCACTAGGC TCCATTGTCCCTTTA CAATAGAGGT
EP_53 - 19 4.23e-05 TTCAGCTGCC ACCATTGTTATTGCA ATTACTGTGA
EP_269 - 30 5.09e-05 GACGGGCACT TTCTTTGTCTTTGAG AGGACTGAAT
EP_214 + 66 5.09e-05 GGCATTGTTT CCCTTTGTCGATCAA AGGCACAGGG
EP_176 + 0 5.09e-05 GCCTTTCTGGTGGAT CAAACTCATT
EP_163 - 50 5.09e-05 ACCCATTCTG TTCATTGTTATTCTA GTGCCAGCAA
EP_117 - 7 5.09e-05 TGAAGGCCCT GTCTTTGTCATGTCA ACTGCAC
EP_116 - 52 5.09e-05 GGCCTCCCCA TCTTTTCTCCGGGCA GCGGCCATCT
EP_13 - 6 5.09e-05 ATCAGTTCAG CCCATTGTCTGGGAA TGCTTG
EP_12 + 66 5.09e-05 TTGATTGGCT TCTATTGTTCCTCAA GGGTGAAAGT
EP_211 - 64 6.09e-05 GTCCTCAGAA TCTTTTGTCTTGAAT ATGCACAGAG
EP_129 + 66 6.09e-05 CTACATCTTG CCCTTTCTTTGTCTG AGGTGGGACC
EP_74 - 21 6.09e-05 GGAAAGCTGT GGCTTTGTCCTTCAC TAGTTCCAAG
EP_21 + 15 6.09e-05 TAAATTGAGC CTCTTTGTTTTTTAA TTAAGCTCCC
EP_248 + 26 7.25e-05 TGATCTACTC TCTTTTCATTTGTTA TGCATATCCT
EP_207 - 34 7.25e-05 TCATTTCACA GCCATTGTGAAGGCA TCCAAAGTTT
EP_142 + 13 7.25e-05 CTTTGTGCGG GCCTTTGTGTAGCTT TTGTTGTAAA
EP_59 + 73 7.25e-05 GCTGATTTGA GCTTTTCAGATGCAA AGAGTGTTAA
EP_137 - 59 8.57e-05 CCTAATCCCT GTCTTTGTCATCCAA ATCACAGAGG
EP_168 + 59 1.01e-04 TTGAGTGTTT TGCTTTGTTGTGGGA ATGAGTCTTT
EP_151 + 85 1.01e-04 CTTGCCTGGG TCCTTTGTCAGAGAG
EP_111 - 46 1.01e-04 CCCTCGACCT TCCTCTGTCCTTTCA CCCAAGCATC
EP_228 + 17 1.18e-04 GCCAGGGCCC ACCATTGTTCTGGCC CAATGGTTCA
EP_223 + 68 1.18e-04 CCATCCAGTC CCCATTGTCACTGAG AGAGGCTGTG
EP_169 + 41 1.18e-04 GCATAATCTT TGCATTGTTATTTCG ATAGCCCATC
EP_126 + 0 1.18e-04 GCATTTGTTATTCTA ATGACCCCTC
EP_100 - 34 1.18e-04 GCTGCTCCAG TCCTTTCTGAAGAAG GGAACCCCAC
EP_50 - 83 1.18e-04 CC TCCTTTGTGTAATAA GATGTCATGG
EP_40 + 65 1.18e-04 AGCAGGTAAA GCCATTCTCTATGCA AATTGAATCT
EP_261 + 10 1.38e-04 ATTCAAAGGA GGCATTGTCTTGCTG AGTGGATGAT
EP_226 + 7 1.38e-04 ATCTCTT CCTTTTCACATTTAA CAGCCAGCCC
EP_165 + 44 1.38e-04 AAAGGCTGGC TGTTTTCTTTTGTTA AATACAAAAG
EP_154 + 78 1.38e-04 GGCTCTCAGT TCTTTTCTTCTCTCC AGCACTA
EP_138 - 35 1.38e-04 TGCCATTGTT TCCTTTATTATGCTT ATCTCAAGGA
EP_16 + 3 1.38e-04 CTG TCCTTTCTCAGCCTT TGTAACTAAT
EP_7 - 72 1.38e-04 TAGTGCTTTG GCTTTTGTGTTGAAT GAGGAGTTGG
EP_252 - 83 1.61e-04 AC CCCTTTGTCTGGATG AGCTGACATC
EP_219 + 72 1.61e-04 CCACACGTCA ACTATTGTCATGCAG CAACTGGACA
EP_166 - 29 1.61e-04 ATGAAGGCTG GCTTTTGTGTTTTGT TTGTGTTTTT
EP_132 + 27 1.61e-04 GAGGCTGCGT GCTTTTCTTTTCCCT GCAGCTCTTG
EP_72 - 51 1.61e-04 CCGGGGAGTT TCCTTTCAGCTCTGA CTACTGCAGT
EP_67 - 22 1.61e-04 ACACATCAAC TGTTTTGTTATTCCT AATGCAGGGA
EP_64 + 41 1.61e-04 GGGTTATTGT TCCTTTGTGACACTG CACACCTCTT
EP_46 + 14 1.61e-04 TGTTGACTGT CCTTTTCTTCTCAAA GGTCCTCTAC
EP_268 + 36 1.86e-04 CTTGCTTTAG TGTTTTCTTTTTCTG ATGCATCTCC
EP_231 - 22 1.86e-04 AGCTCCTCAC CCCATTGTCTATGGA TGGGCCATTA
EP_220 - 30 1.86e-04 GACCATCATA TGCATTGTAATTCAA TATCTCCTTA
EP_140 - 21 1.86e-04 TTTGATGTGC CCCATTGTTTTCTGG GGACCACTGC
EP_115 - 81 1.86e-04 TTAC TCCTTTGTGGTAACA AGAAGGGAAA
EP_110 + 3 1.86e-04 ACA TCCTTTGTCCCGAGT CTTACTTCCA
EP_77 + 0 1.86e-04 TCATTTGTTCTTTTG TCCATACGCA
EP_73 - 60 1.86e-04 GATGGTCTAA GCTTTTGTCCGGGCC ACCTGAACTG
EP_54 - 49 1.86e-04 GATATAGGAG TGCTTTGTGTGTGTA AGTGTTTGCT
EP_206 + 19 2.15e-04 GCACTCAGTT CCTTTTCTTTTCTCG CTCTGCTATT
EP_204 - 49 2.15e-04 AGCCAAAGAG TTCTTTGTCTCTGCA AATGGCCCCA
EP_196 - 71 2.15e-04 ACTTGTAAGG GCCTTTGTTCAATTG AAGACCTTAC
EP_161 + 33 2.15e-04 CGGCTCCTTG ACCTTTGTCACTGTG GGTGACCATT
EP_119 + 75 2.15e-04 CCCTGACTTG ACTTTTCTGCTTCAT CTTTGGAAAA
EP_66 + 70 2.15e-04 TAAGCCAATG CTCTTTGTTAAGGAA ATTGATGGCT
EP_51 - 35 2.15e-04 GATGATAGGG GTCATTGTTATGTTG ATGGGGCCCA
EP_38 - 22 2.15e-04 TGACACAGGG CCCATTCTCCAGTGA GTTCCACCCG
EP_27 + 19 2.15e-04 AACAGATCTC TCCTTTCATGGGCAG TCTGAGTTGG
EP_19 + 20 2.15e-04 TGTTTTTAAA TCCTTTCATTAGAAA TTTAAAACTC
EP_230 + 83 2.47e-04 CCTGATAGAT ACTTTTGTCTTTGTT AT
EP_80 + 79 2.47e-04 AAAGCCAGAC CCTTTTGTTAAGATA AAACCA
EP_47 - 28 2.47e-04 ACTAATTTGT CCCTTTGTTTCACCG AATGCTTGCT
EP_39 + 62 2.47e-04 TTCAAAGACA GCTTTTGTCTTACCC AAAAGCAATT
EP_271 + 37 2.82e-04 CGCCACAATG TCCATTGTTGGCTTA ATGGATTATC
EP_262 + 42 2.82e-04 AACAGCGACT TCCTTTCTTGTCATT GACACCTTGA
EP_259 + 58 2.82e-04 CACATTGCTA CCTATTGTGATTAAG TAGCCACATT
EP_221 + 34 2.82e-04 AATAGGCTCT CCCTTTCTCAGCTTG AGCCTAGCCA
EP_183 + 82 2.82e-04 TTATCCCTCT GCCTTTCTTCTCAGC ATT
EP_147 - 48 2.82e-04 CGCCTGCTGT GCCTTTGAGTGGCCT GCTGTGCCTT
EP_118 - 54 2.82e-04 TAGAGCCATG CCTTTTGTGGAGGAA GTGTGTGCTC
EP_112 - 53 2.82e-04 AGACCCGGGA GCCTTTGTTCAAACA GAGGTCACCG
EP_107 + 59 2.82e-04 AACTAAACAG GCTTTTCAGATGAAA ATGAGTCCAG
EP_69 - 74 2.82e-04 TAATTAGTCT ACCTTTCTCCTAGGA GTCCGGTCTC
EP_41 + 55 2.82e-04 GAAGTGATAC TGTATTCTGATGGAA ATGGCTGCAA
EP_26 + 29 2.82e-04 GTGTCTGGGA TCTATTGTTTATTTG TGTTGTAAAT
EP_8 + 39 2.82e-04 GCAAGTGGCA ACTATTGTGTTGTTA ATGATGCAAT
EP_6 - 63 2.82e-04 ATGAATTTGA GCTTTTGACTTCTCA GTCTTTGGGA
EP_195 + 62 3.22e-04 GTCTTCAGCT GTCATTGTTCTGAAG GATAAAGCAA
EP_181 - 37 3.22e-04 CAAATCCAAA GGCTTTGTCCTCTTT GCCAATGACT
EP_134 - 29 3.22e-04 ACACCATTAA GGCTTTCATATGTAG ATCATGATCC
EP_55 - 36 3.22e-04 ACCTGCTGAC TCCTTTCAGTGTCTT CTCTTAGGGC
EP_43 - 61 3.22e-04 TAGAGTCATG CTCTTTGATATGGAG ATGGCCCTGA
EP_23 + 23 3.22e-04 TCAGGCAGTT TCCTTTCCTTTGTTG GGAGTGATGT
EP_175 + 78 3.66e-04 AAGGGGCTGT GCCTTTATCCAGGAA GGCCAGC
EP_143 - 10 3.66e-04 TCTACTCTAC TCTTTTGATCCGCTC TTTTGTCTTT
EP_63 + 82 3.66e-04 TTGTTACCAC CCCATTGTCTCTTTC ATT
EP_28 + 37 3.66e-04 AGATTCCATT CCCTTTCATCCTTGA GTACAAGAGA
EP_256 - 50 4.15e-04 GAACTCACTG TCCTTTCAGGTCCAC CTTTGCTCTG
EP_238 - 37 4.15e-04 CACCTGTCAG CTTATTGTCATTCTA TTAGATGCTT
EP_186 - 40 4.15e-04 AGATGTCCCT TGCATTCAGATGTAA GGACAATTCA
EP_174 + 71 4.15e-04 GATGGGTTAG TCAATTGTCATTTAG ATCTCTGTGT
EP_131 + 18 4.15e-04 TCTTAAGTAG CCTTTTGTAAATCTA TTGTAGAGGC
EP_120 - 63 4.15e-04 TCACTTAGTT TCTATTGTACTCGAG TTAGGGAGAG
EP_114 + 72 4.15e-04 GAAGGGATCC GCCATTGTAATCCTC TCCACCTACT
EP_82 + 27 4.15e-04 TCTGGGACCC CCCATTGTGACCCTG GTGGGAGGCC
EP_70 - 1 4.15e-04 GAACAAAACC TCCTTTATCCTCCCT G
EP_3 + 60 4.15e-04 ACAAAGAAAG TCATTTGTGTGTCAA GTTGAAAGTG
EP_229 + 32 4.69e-04 GGCTTCCATC TCCCTTGTTGATGAA GTACAATCAA
EP_227 + 78 4.69e-04 TGCACAATAG TTTTTTCTTCCTCTA AGGAAGT
EP_222 - 45 4.69e-04 GCATGTCTAC TTCCTTGTCCTGTCA CTCGGCTGCA
EP_164 + 20 4.69e-04 TGATTGCCCA TCTCTTCTTTTGTTG CCCACTCAAA
EP_136 + 51 4.69e-04 ACCATGCTAA GCTATTGATTTGTCT GAAGGCCTAG
EP_79 + 15 4.69e-04 CTCTGATGAC TTCTTTATTATGCTA AAAGTCAGTA
EP_75 - 33 4.69e-04 TGTAATTACC TCTATTATCATTCTA ACTACTCTTA
EP_34 + 35 4.69e-04 GCCTGAGTGT CCCTTTATCAGGGAA GAATTTTGTC
EP_30 + 59 4.69e-04 ACTGAATGAC ACTTTTGTTCGTGAT TAACAGAGGT
EP_254 + 26 5.29e-04 TTTCTAAATC TCCTCTGATTTGCAT TTAAATGAAC
EP_215 - 39 5.29e-04 TAAATGCCTG TTCCTTGTCTTTTAA ATAAGTGAGC
EP_198 - 20 5.29e-04 TGAGAATGTC TCTATTCCTATGCAA AAGGCAATGC
EP_182 - 82 5.29e-04 AGC ACCATTGAGTTGGGA ACCAGTGTAC
EP_167 - 82 5.29e-04 TTT GGCTTTGTGTGTTTG CCAGCTCTCT
EP_14 - 13 5.29e-04 ACCCCTCAGA TGTATTGACTTTCAA ATCTCCAAGG
EP_265 - 17 5.94e-04 TAATTTCAAT TCTATTGTGGTGATT TGAATAGGTA
EP_258 + 53 5.94e-04 TCAGCTGGGG GCCATTGTTAGGAGC TAATCTACAT
EP_235 + 67 5.94e-04 CTGCCTTGTT TCCCTTGAGTTTGGA TGCAGGGGGT
EP_201 + 38 5.94e-04 GTTGAACATT TCCTCTCTGCTTAAG CATAACAATC
EP_173 + 43 5.94e-04 TGTTATTGAG ATCTTTCTCCTTGAT TAAAACCATT
EP_94 + 43 5.94e-04 GGGGATGTGG GTCTTTCATGTGTAA TTCAGAACAG
EP_84 + 85 5.94e-04 ACAATGGTTG CCCTTTGTGAGAGTC
EP_78 - 76 5.94e-04 TGCTGGGGC CGCTTTCTTCAGCGG AAGGAAATGA
EP_37 + 57 5.94e-04 TACAATGGGT TTCTTTCTCTTACCT CGGCTGGGAG
EP_2 + 21 5.94e-04 CTAAGCTCAC CCCTTTCTTTGAATA AAACACCTAT
EP_95 - 36 6.65e-04 ATCCCCCATT ACCCTTCTCATTGAG AGGCGCATGG
EP_25 - 60 6.65e-04 ACAAACTACT GCTATTCACTTGACA ATCGCTGCAT
EP_11 - 38 6.65e-04 CATTTCCTCA TCTATTCTCTTAGTC CAGTATGCAG
EP_272 + 28 7.43e-04 TAGCAGGCAT TCCATTCATGATGAG CCTTGCTTTG
EP_264 - 1 7.43e-04 AGCCTGAGGT GCCTTTGCTGTGGAC T
EP_122 + 65 7.43e-04 CTTCGCTTCG GCTTTTGTAAACCTA TTTCAGTGGG
EP_92 - 56 7.43e-04 AATTTACATT GCTTTTGAAAAGCAA TCAAGGAGGA
EP_65 - 72 7.43e-04 AGCCATGACA ACCATTCTCTCTGGA GCAGGTCCCC
EP_29 + 78 7.43e-04 AACCTTCTTG TCCTTTCAGGATCCT ATGGATG
EP_24 + 45 7.43e-04 GTTAAAAAGT CTCTTTGTTACTTAC CACCTTAGAC
EP_251 - 62 8.28e-04 GCAGCTTGAC ACTTTTGAAATGCTA ATTGATGCGA
EP_209 + 50 8.28e-04 ACAAGAATAG TGCATTCATCAGCCA GTTAGCACTT
EP_146 + 29 8.28e-04 CTCCCAGGAG GCCTCTGTCAGGCAC AGCAGCAGTT
EP_233 + 40 9.21e-04 CATCTTCACA ACCATTCTTGCTTCA CTCTGGGTCA
EP_188 + 3 9.21e-04 CAT TTCTTTCACCTTGGC CTTGAGAAAT
EP_128 - 17 9.21e-04 GCAGACTAAA GCCTTTGCCACTGAG GACCTCCCCA
EP_83 + 49 9.21e-04 CCCTGATCAT TGTATTGTGCAGTTA ATTACCACCA
EP_20 - 14 9.21e-04 TTAAGTACTT TTTATTGTTGTGTTG ATCTGTAGGC
EP_242 + 26 1.02e-03 GGGCAAGACC CCCCTTCTTCGTCGG GTGAGCGCCC
EP_202 + 55 1.02e-03 AACGCCCGCG TCATTTCTTTGGCTT GTTTGTGCTA
EP_193 - 26 1.02e-03 TGCCTTCATC TCTATTCACTTAGAG AATCATCTGC
EP_191 + 57 1.02e-03 CAACACTCCT TTTTTTGTTCAGTCC AGTTGCTGGT
EP_170 - 35 1.02e-03 AATGAAAAAA GGCTTTCATCGGCAC TAATGAGCCA
EP_152 + 42 1.02e-03 TCAATGACAT CTTATTGTTCTTTCT AAATCCGCAA
EP_106 - 76 1.02e-03 CCTTTGTTG TCCATTGTGTCCATT GATGCAGTTA
EP_93 + 2 1.02e-03 TC CTCATTGAGCTGGGA TAATGGGTCC
EP_31 + 10 1.02e-03 CTGAGAATCT TCTATTATCAGGCAA GGAGTGTCTT
EP_270 + 0 1.13e-03 CCCATTCAGGTTTTC TGTCCTCATC
EP_260 + 47 1.13e-03 CATTGTTTCA TTCTTTGTGGTGAGT GCTGTGTGAT
EP_224 + 63 1.13e-03 CAGCTGGCAT CCTTTTGTTTCAGCT AGGTAGAATA
EP_113 + 58 1.13e-03 AAGCGGTGTT TCCATTCTCACCAGG GAAGGCAGTT
EP_68 + 14 1.13e-03 GCTTAGGAAA CCTCTTGTGATTGGG AAAGTCCATC
EP_257 - 53 1.25e-03 CTTTGCATAA GTCTTTGCTTTTCAG CTAAAAAGTG
EP_253 + 83 1.25e-03 GCAAAGCAAA ACCATTCACGTTCAC AC
EP_247 + 23 1.25e-03 CGCGGCTCTG GCTTTTCTACGTTGG CTGGGGCGGT
EP_234 + 78 1.25e-03 AGTGCTGATT AGCTTTGAAATGCAA ATAGTCC
EP_158 - 15 1.25e-03 GGCCCGCTCT TCCTTTCAGCCCACG AGTGGTGTTT
EP_36 + 17 1.25e-03 GTCATTAGCT TTCATTCACATGTGG TTGAATTCTT
EP_32 - 4 1.25e-03 ACCCCTATCA CCCTTTCTAAGATAG GACA
EP_213 - 60 1.37e-03 CAATTGCTGT AGCTTTGTACTTACA TACTTATTTA
EP_210 + 48 1.37e-03 CTGTCTGAGC TTCATTCTAACGCTA ATGAAGTCCT
EP_172 - 16 1.37e-03 GGACAATGTT AGCATTGAGATGCAG ACGCGAGGGG
EP_62 - 13 1.37e-03 GAAGGAAGAA AGCTTTCTTCAGCCC AGCAGGGAGG
EP_60 - 29 1.37e-03 CCGCCTACAT TCTTTTGACAACTCT ACCTCCGGGT
EP_35 + 36 1.37e-03 TCTCATTCAT CCCATTATCTTTCGC TTGAGTAGCC
EP_10 - 45 1.37e-03 ACCTTTGGCA TCCTGTGTATTTGAA TACAGCACTC
EP_249 - 24 1.51e-03 ATTACAATCG GCTTTTATGCCTGCA ATGGAAAAAG
EP_217 + 31 1.51e-03 AGGGATTGAT TCTATTGCTCTCCTG GCTTCCCTCT
EP_133 + 8 1.51e-03 CCTAGATC TGCATTCAACTTCGA TTCTAGGAAC
EP_76 - 36 1.51e-03 AGGACCTGGA TGTTTTCAGATTGTC TTGCTAATGG
EP_42 - 77 1.51e-03 GAACTATT TGTTTTCTGGTCCAC ATTGCTCCAG
EP_18 - 35 1.51e-03 CAAAAGGAGA TCTTTTCTAAATGGC TACAATTCTA
EP_148 + 6 1.65e-03 ACTGCT AGTTTTGTTTTGAAT GACTATGTTA
EP_104 - 66 1.65e-03 ACAGAGAAGT CTCTTTGTTTCCACA TCAAGGACTG
EP_98 + 21 1.65e-03 CTCTTCAGTC CCTTTTGTTTGAAAT AGGACCTCAC
EP_87 - 10 1.65e-03 CTGATGGTAC TGCTTTCTGTCAGCG AGCAAAGACA
EP_52 - 57 1.65e-03 GCTTAAGTAG CCTACTGTCCTTCTT AACTGCCCAT
EP_15 - 74 1.65e-03 CCTAATCAAG CCCATTGTGCAAAAT CCCCAATCCA
EP_9 - 25 1.65e-03 CAGGATATTT GGTATTGTCATCTCT ATGGCCCATT
EP_266 + 55 1.81e-03 GTTCACACTT GCCCTTCATTATTTA GTCAACCTCT
EP_236 + 32 1.81e-03 CAAACCAAAG CTCTTTCTGTTATGG GTGCTCAGCC
EP_150 + 79 1.81e-03 CAGCAGCAAG TGCTTTGAATAGTTA GACAAA
EP_241 + 63 1.97e-03 CTAGGTGCCT GCTTCTGAGCTGGTG GTGGCGCTTC
EP_199 - 78 1.97e-03 ATCCCCA GCTATTCAATTGGTT TGATTGAAGA
EP_185 + 50 1.97e-03 TTTGATTGTT CTTTTTATTCTGGCA GGATGAGAGT
EP_89 - 5 1.97e-03 TCCCCTCCAG GGCTCTCTCCTGGCT TTTCA
EP_200 - 9 2.15e-03 AATTCAATTT GCATTTCTTTGACTA GAACTTGGG
EP_190 + 43 2.15e-03 GCCGTTTACT CTCTTTCTCCCCTCT CAGCCGGGGG
EP_177 - 42 2.15e-03 CAGAAGTGTA GCTATTCAATTGTTT CAGCATCACT
EP_162 - 77 2.15e-03 GTCTGCTC TTCTTTCATGAGCAC AATTGCCTGT
EP_144 - 41 2.15e-03 GAACTGGCAA ATCATTGTCCAGTGA CCGGGAGGAA
EP_250 - 22 2.34e-03 CTCTCATTCA TGCACTGACCTTGAA GCGCTCTAGG
EP_178 - 74 2.34e-03 TCTCCGGATG ACCCTTCTGAATGAG ATAGGAAATG
EP_97 - 1 2.34e-03 TCAATGAGGC ACTATTATTATTCCG T
EP_91 + 62 2.34e-03 TCCTTCTACC TTCTTTGTATCAGTA ATCCCCGATT
EP_88 - 19 2.34e-03 ACAAGTAAAC GCTTTTCCTTCTTCA CCCACTCACT
EP_49 - 52 2.34e-03 GATAGATGTC CCATTTCTGTTAGGA GGGTGGTGTG
EP_194 + 66 2.54e-03 CCTGCTGGGT TCCATTCAACCTGGT AAATACAGTT
EP_109 + 34 2.54e-03 CTAGTACTTC CCCTTTATAGTTCTC CCCACAACGA
EP_108 - 2 2.54e-03 GAAGGTAAAC TGTTTTGATTGTTCC TA
EP_4 + 55 2.54e-03 GGGAATTGTT GTTATTCTAATGTTG ATTGAACTTT
EP_197 - 81 2.75e-03 TAGT AGCTTTCTTTAACAG GACATGATAT
EP_179 + 44 2.75e-03 TATCTAAACT GCTCTTCTGCTAACA GTACTTCTAG
EP_101 - 78 2.75e-03 AGGCTGA GCTATTGCCCCTTCA AGGGGAATTT
EP_57 + 78 2.98e-03 TCAAATTCCT TCCTGTCTTTAGCTC CTGCACA
EP_48 + 2 2.98e-03 AT GTTATTCACCTCTCA TGCAGAGTAC
EP_123 + 31 3.22e-03 GTTGAGAAAG CCCATTATTAGGAAC TGGGGCTCGG
EP_121 + 25 3.22e-03 AATTGCAGCA TCCTTTAACAGTAAT TGAGACGGAT
EP_243 + 30 3.47e-03 GCGTGGTGGG TGCTGTGTGCTTCTC GGGCTGTGTG
EP_99 + 80 3.47e-03 CACAGAGCAA TCAATTCTTAATTGT TCGTA
EP_240 + 42 3.74e-03 GCCATCCTGG CCCATTCAAGGGTTG AGTACTTGTT
EP_157 - 80 3.74e-03 TCTGG GCTTTTCAGTGATCT GTTTACGGAA
EP_171 + 63 4.02e-03 CAATCAGTTC CCCACTGTTTCCCCT GAGGCTGGAC
EP_5 - 82 4.02e-03 AGG GCCCTTGAGCCCTAT TTGGCTCACC
EP_232 - 32 4.62e-03 TGTGGTGAGG TCTTTTCATGGAAGA TCATCTTCAG
EP_96 + 29 4.62e-03 CTACCAACAA TTATTTCTGTTAGAG CCAGTTTCCT
EP_90 - 8 4.62e-03 AAACCTCGCA TCAATTCTCAGCTGG TGGCACAG
EP_273 - 41 4.94e-03 CCCTTTTAAG TCCACTGTAAATTCC TTCGCAGCAG
EP_246 + 76 4.94e-03 GCTCTCCCCG TCTTGTGTGTGTCCT CGCCGGGAG
EP_44 - 23 4.94e-03 GACTTTTATT GCTTCTCCGATGGAA ATCTGCATCC
EP_105 + 49 5.28e-03 CTGTGGGAAC AGCTCTCTCCCTGAA CCCTGATTCA
EP_135 - 74 6.01e-03 TATTTCCTGG GCAATTCTAAATTGA TAGCCCCTCA
EP_45 - 28 6.40e-03 GCGGGGGTGT CCTTTTCCTGCTACA ATGTTCTGCT
EP_205 + 63 6.80e-03 TCACTCCCAC CGCCTTGAGCTACCT GCACTATCAA
EP_160 + 4 6.80e-03 AACT GCAATTAACTTTTAA ATGGGATTGA
EP_153 + 26 7.66e-03 TTAGAAATTT GCATCTCTTAGGCCC ACCGACCCGA
EP_141 - 36 8.12e-03 GTGGTCTATC CGCCTTCTCTAAGCG CTCCTGCTGT
EP_212 + 21 1.12e-02 CTTACTGATG GCCTTGCTTAAAGAC TTGGCAAGAA
EP_244 + 16 1.36e-02 GGGCTCGTCC GGCCCTGTCGTCCTT CGGGAAGGCG
EP_245 - 67 1.43e-02 GCGGGGGCGA GCCCTGGATAGGCCA CCCGTCGGAG

Block Diagrams

The height of the motif "block" is proportional to -log(p-value), truncated at the height for a motif with a p-value of 1e-10.
Click on any row to highlight sequence in all motifs. Mouse over the center of the motif blocks to see more information.

Name Lowest p-value Motif Location
EP_1 2.87e-05
+
-
EP_2 5.94e-04
+
-
EP_3 4.15e-04
+
-
EP_4 2.54e-03
+
-
EP_5 4.02e-03
+
-
EP_6 2.82e-04
+
-
EP_7 1.38e-04
+
-
EP_8 2.82e-04
+
-
EP_9 1.65e-03
+
-
EP_10 1.37e-03
+
-
EP_11 6.65e-04
+
-
EP_12 5.09e-05
+
-
EP_13 5.09e-05
+
-
EP_14 5.29e-04
+
-
EP_15 1.65e-03
+
-
EP_16 1.38e-04
+
-
EP_17 1.53e-05
+
-
EP_18 1.51e-03
+
-
EP_19 2.15e-04
+
-
EP_20 9.21e-04
+
-
EP_21 6.09e-05
+
-
EP_22 3.43e-06
+
-
EP_23 3.22e-04
+
-
EP_24 7.43e-04
+
-
EP_25 6.65e-04
+
-
EP_26 2.82e-04
+
-
EP_27 2.15e-04
+
-
EP_28 3.66e-04
+
-
EP_29 7.43e-04
+
-
EP_30 4.69e-04
+
-
EP_31 1.02e-03
+
-
EP_32 1.25e-03
+
-
EP_33 7.57e-06
+
-
EP_34 4.69e-04
+
-
EP_35 1.37e-03
+
-
EP_36 1.25e-03
+
-
EP_37 5.94e-04
+
-
EP_38 2.15e-04
+
-
EP_39 2.47e-04
+
-
EP_40 1.18e-04
+
-
EP_41 2.82e-04
+
-
EP_42 1.51e-03
+
-
EP_43 3.22e-04
+
-
EP_44 4.94e-03
+
-
EP_45 6.40e-03
+
-
EP_46 1.61e-04
+
-
EP_47 2.47e-04
+
-
EP_48 2.98e-03
+
-
EP_49 2.34e-03
+
-
EP_50 1.18e-04
+
-
EP_51 2.15e-04
+
-
EP_52 1.65e-03
+
-
EP_53 4.23e-05
+
-
EP_54 1.86e-04
+
-
EP_55 3.22e-04
+
-
EP_56 1.90e-05
+
-
EP_57 2.98e-03
+
-
EP_58 2.87e-05
+
-
EP_59 7.25e-05
+
-
EP_60 1.37e-03
+
-
EP_61 4.82e-07
+
-
EP_62 1.37e-03
+
-
EP_63 3.66e-04
+
-
EP_64 1.61e-04
+
-
EP_65 7.43e-04
+
-
EP_66 2.15e-04
+
-
EP_67 1.61e-04
+
-
EP_68 1.13e-03
+
-
EP_69 2.82e-04
+
-
EP_70 4.15e-04
+
-
EP_71 2.34e-05
+
-
EP_72 1.61e-04
+
-
EP_73 1.86e-04
+
-
EP_74 6.09e-05
+
-
EP_75 4.69e-04
+
-
EP_76 1.51e-03
+
-
EP_77 1.86e-04
+
-
EP_78 5.94e-04
+
-
EP_79 4.69e-04
+
-
EP_80 2.47e-04
+
-
EP_81 1.90e-05
+
-
EP_82 4.15e-04
+
-
EP_83 9.21e-04
+
-
EP_84 5.94e-04
+
-
EP_85 9.66e-06
+
-
EP_86 1.89e-06
+
-
EP_87 1.65e-03
+
-
EP_88 2.34e-03
+
-
EP_89 1.97e-03
+
-
EP_90 4.62e-03
+
-
EP_91 2.34e-03
+
-
EP_92 7.43e-04
+
-
EP_93 1.02e-03
+
-
EP_94 5.94e-04
+
-
EP_95 6.65e-04
+
-
EP_96 4.62e-03
+
-
EP_97 2.34e-03
+
-
EP_98 1.65e-03
+
-
EP_99 3.47e-03
+
-
EP_100 1.18e-04
+
-
EP_101 2.75e-03
+
-
EP_102 7.57e-06
+
-
EP_103 4.82e-07
+
-
EP_104 1.65e-03
+
-
EP_105 5.28e-03
+
-
EP_106 1.02e-03
+
-
EP_107 2.82e-04
+
-
EP_108 2.54e-03
+
-
EP_109 2.54e-03
+
-
EP_110 1.86e-04
+
-
EP_111 1.01e-04
+
-
EP_112 2.82e-04
+
-
EP_113 1.13e-03
+
-
EP_114 4.15e-04
+
-
EP_115 1.86e-04
+
-
EP_116 5.09e-05
+
-
EP_117 5.09e-05
+
-
EP_118 2.82e-04
+
-
EP_119 2.15e-04
+
-
EP_120 4.15e-04
+
-
EP_121 3.22e-03
+
-
EP_122 7.43e-04
+
-
EP_123 3.22e-03
+
-
EP_124 9.66e-06
+
-
EP_125 5.87e-06
+
-
EP_126 1.18e-04
+
-
EP_127 2.87e-05
+
-
EP_128 9.21e-04
+
-
EP_129 6.09e-05
+
-
EP_130 4.51e-06
+
-
EP_131 4.15e-04
+
-
EP_132 1.61e-04
+
-
EP_133 1.51e-03
+
-
EP_134 3.22e-04
+
-
EP_135 6.01e-03
+
-
EP_136 4.69e-04
+
-
EP_137 8.57e-05
+
-
EP_138 1.38e-04
+
-
EP_139 1.89e-06
+
-
EP_140 1.86e-04
+
-
EP_141 8.12e-03
+
-
EP_142 7.25e-05
+
-
EP_143 3.66e-04
+
-
EP_144 2.15e-03
+
-
EP_145 9.66e-06
+
-
EP_146 8.28e-04
+
-
EP_147 2.82e-04
+
-
EP_148 1.65e-03
+
-
EP_149 2.34e-05
+
-
EP_150 1.81e-03
+
-
EP_151 1.01e-04
+
-
EP_152 1.02e-03
+
-
EP_153 7.66e-03
+
-
EP_154 1.38e-04
+
-
EP_155 3.36e-08
+
-
EP_156 1.89e-06
+
-
EP_157 3.74e-03
+
-
EP_158 1.25e-03
+
-
EP_159 2.87e-05
+
-
EP_160 6.80e-03
+
-
EP_161 2.15e-04
+
-
EP_162 2.15e-03
+
-
EP_163 5.09e-05
+
-
EP_164 4.69e-04
+
-
EP_165 1.38e-04
+
-
EP_166 1.61e-04
+
-
EP_167 5.29e-04
+
-
EP_168 1.01e-04
+
-
EP_169 1.18e-04
+
-
EP_170 1.02e-03
+
-
EP_171 4.02e-03
+
-
EP_172 1.37e-03
+
-
EP_173 5.94e-04
+
-
EP_174 4.15e-04
+
-
EP_175 3.66e-04
+
-
EP_176 5.09e-05
+
-
EP_177 2.15e-03
+
-
EP_178 2.34e-03
+
-
EP_179 2.75e-03
+
-
EP_180 1.53e-05
+
-
EP_181 3.22e-04
+
-
EP_182 5.29e-04
+
-
EP_183 2.82e-04
+
-
EP_184 2.56e-06
+
-
EP_185 1.97e-03
+
-
EP_186 4.15e-04
+
-
EP_187 2.87e-05
+
-
EP_188 9.21e-04
+
-
EP_189 2.34e-05
+
-
EP_190 2.15e-03
+
-
EP_191 1.02e-03
+
-
EP_192 2.34e-05
+
-
EP_193 1.02e-03
+
-
EP_194 2.54e-03
+
-
EP_195 3.22e-04
+
-
EP_196 2.15e-04
+
-
EP_197 2.75e-03
+
-
EP_198 5.29e-04
+
-
EP_199 1.97e-03
+
-
EP_200 2.15e-03
+
-
EP_201 5.94e-04
+
-
EP_202 1.02e-03
+
-
EP_203 3.43e-06
+
-
EP_204 2.15e-04
+
-
EP_205 6.80e-03
+
-
EP_206 2.15e-04
+
-
EP_207 7.25e-05
+
-
EP_208 3.49e-05
+
-
EP_209 8.28e-04
+
-
EP_210 1.37e-03
+
-
EP_211 6.09e-05
+
-
EP_212 1.12e-02
+
-
EP_213 1.37e-03
+
-
EP_214 5.09e-05
+
-
EP_215 5.29e-04
+
-
EP_216 2.56e-06
+
-
EP_217 1.51e-03
+
-
EP_218 2.87e-05
+
-
EP_219 1.61e-04
+
-
EP_220 1.86e-04
+
-
EP_221 2.82e-04
+
-
EP_222 4.69e-04
+
-
EP_223 1.18e-04
+
-
EP_224 1.13e-03
+
-
EP_225 1.90e-05
+
-
EP_226 1.38e-04
+
-
EP_227 4.69e-04
+
-
EP_228 1.18e-04
+
-
EP_229 4.69e-04
+
-
EP_230 2.47e-04
+
-
EP_231 1.86e-04
+
-
EP_232 4.62e-03
+
-
EP_233 9.21e-04
+
-
EP_234 1.25e-03
+
-
EP_235 5.94e-04
+
-
EP_236 1.81e-03
+
-
EP_237 6.98e-07
+
-
EP_238 4.15e-04
+
-
EP_239 1.90e-05
+
-
EP_240 3.74e-03
+
-
EP_241 1.97e-03
+
-
EP_242 1.02e-03
+
-
EP_243 3.47e-03
+
-
EP_244 1.36e-02
+
-
EP_245 1.43e-02
+
-
EP_246 4.94e-03
+
-
EP_247 1.25e-03
+
-
EP_248 7.25e-05
+
-
EP_249 1.51e-03
+
-
EP_250 2.34e-03
+
-
EP_251 8.28e-04
+
-
EP_252 1.61e-04
+
-
EP_253 1.25e-03
+
-
EP_254 5.29e-04
+
-
EP_255 1.22e-05
+
-
EP_256 4.15e-04
+
-
EP_257 1.25e-03
+
-
EP_258 5.94e-04
+
-
EP_259 2.82e-04
+
-
EP_260 1.13e-03
+
-
EP_261 1.38e-04
+
-
EP_262 2.82e-04
+
-
EP_263 4.82e-07
+
-
EP_264 7.43e-04
+
-
EP_265 5.94e-04
+
-
EP_266 1.81e-03
+
-
EP_267 2.34e-05
+
-
EP_268 1.86e-04
+
-
EP_269 5.09e-05
+
-
EP_270 1.13e-03
+
-
EP_271 2.82e-04
+
-
EP_272 7.43e-04
+
-
EP_273 4.94e-03
+
-
 
0
20
40
60
80
100

Time 354.3 secs.

Motif 2

Previous Next Top

Summary

Sequence Logo

E-value 8.5e-007
Width 11
Sites 32
show more
PNG LOGOS require CONVERT from ImageMagick; see MEME installation guide

Download LOGO
   Orientation:    SSC:    Format:    Width: cm    Height: cm   

Regular expression

C[ATC]CAGCAGG[AGT][GA]

Further Analysis

Submit this motif to  
      
      
      
      
 Mouse-over buttons for more information.

Data Formats

View the motif in PSPM Format 
     PSSM Format 
     BLOCKS Format 
     FASTA Format 
     Raw Format 
     or Hide

Sites

Click on any row to highlight sequence in all motifs.

Name Strand Start p-value Sites
EP_230 - 16 1.64e-07 CTTAGTAATG CACAGCAGGAG TCAATGCCCC
EP_141 + 25 1.64e-07 TAACTGACCC CACAGCAGGAG CGCTTAGAGA
EP_122 - 31 6.64e-07 TTAAATACCT CACAGCAGGAA CACTATTATA
EP_57 + 31 6.64e-07 AATCTGAAGA CACAGCAGGAA GACCTCTCAG
EP_118 - 28 9.61e-07 TGCTCAGCTG CACAGCAGGTG AGCAGCTATT
EP_189 + 37 1.26e-06 TAGTTATTCC CACAGCAGGGA AGACTGTCAA
EP_55 - 4 1.26e-06 AGTTTAGCAT CACAGCAGGGA TTTA
EP_80 + 12 2.26e-06 TGTCTCTGCT CTCAGCAGGTG ATCCACAGAG
EP_270 - 72 3.40e-06 GCCGGACCAG GACAGCAGGAA GGACACTCCT
EP_40 + 52 3.40e-06 CAGGAGATAG CTCAGCAGGTA AAGCCATTCT
EP_19 + 53 3.40e-06 TCACACTCAG CTCAGCAGGTA AACACTGACA
EP_21 + 37 3.69e-06 TAATTAAGCT CCCAGCAGGTA CAGAGAAGAG
EP_156 + 57 4.43e-06 CATTGTATAA GCCAGCAGGGG AGAGTTCCTA
EP_85 + 28 4.43e-06 ATCTACATGA GCCAGCAGGGG GTTCATTGAA
EP_27 + 85 5.10e-06 ATCACACTGG CACAGCAGGCG GCAA
EP_232 + 53 7.66e-06 AAGACCTCAC CACAGGAGGAA TGCTCTGCTG
EP_194 - 1 8.54e-06 TCCCGCTTGT CTCAACAGGAG A
EP_53 - 49 8.54e-06 GGCACAGTTA AACAGCAGGGG AGGAGTTCAG
EP_200 - 46 9.47e-06 TTCTGTACCA CCCAACAGGAG ATATCCCATC
EP_195 + 33 9.47e-06 TTAGTCAAAA CACAGCGGGAA GAAACTCGGT
EP_69 + 30 1.24e-05 ACTGGGTTTT CACTGCAGGAA ATGGGCAATC
EP_94 - 71 1.36e-05 TGAAGAGCTG CACACCAGGTG TCCCTGTTCT
EP_45 - 46 1.48e-05 CCCAGGACAT CCCAGCGGGGG TGTCCTTTTC
EP_225 + 68 1.79e-05 AAAGAAAAGG GACAGGAGGAG AGGAGGAGGA
EP_171 + 86 1.79e-05 CTGAGGCTGG ACCAGCAGGGG AGT
EP_163 - 74 1.95e-05 GTTATCCAAT CTCACCAGGAA CCCATTCTGT
EP_123 - 16 1.95e-05 AATGGGCTTT CTCAACAGGTG TTCATTGTAC
EP_190 - 21 2.14e-05 GTAAACGGCT CCCAGCAGGGC GCTGATTTCA
EP_39 + 32 2.33e-05 TGATTAGCAA TACAGCAGGAA GGTGGCTGCT
EP_121 - 81 2.84e-05 TTTGCAGT GTCAGGAGGAG GCTCAAGGTT
EP_34 - 12 3.17e-05 ACTCAGGCTA CTCAGTAGGGG AGCCTGTGCT
EP_1 + 52 3.56e-05 TTTTGTAAAA GTCTGCAGGAG CTGATTTAAG

Block Diagrams

The height of the motif "block" is proportional to -log(p-value), truncated at the height for a motif with a p-value of 1e-10.
Click on any row to highlight sequence in all motifs. Mouse over the center of the motif blocks to see more information.

Name Lowest p-value Motif Location
EP_1 3.56e-05
+
-
EP_19 3.40e-06
+
-
EP_21 3.69e-06
+
-
EP_27 5.10e-06
+
-
EP_34 3.17e-05
+
-
EP_39 2.33e-05
+
-
EP_40 3.40e-06
+
-
EP_45 1.48e-05
+
-
EP_53 8.54e-06
+
-
EP_55 1.26e-06
+
-
EP_57 6.64e-07
+
-
EP_69 1.24e-05
+
-
EP_80 2.26e-06
+
-
EP_85 4.43e-06
+
-
EP_94 1.36e-05
+
-
EP_118 9.61e-07
+
-
EP_121 2.84e-05
+
-
EP_122 6.64e-07
+
-
EP_123 1.95e-05
+
-
EP_141 1.64e-07
+
-
EP_156 4.43e-06
+
-
EP_163 1.95e-05
+
-
EP_171 1.79e-05
+
-
EP_189 1.26e-06
+
-
EP_190 2.14e-05
+
-
EP_194 8.54e-06
+
-
EP_195 9.47e-06
+
-
EP_200 9.47e-06
+
-
EP_225 1.79e-05
+
-
EP_230 1.64e-07
+
-
EP_232 7.66e-06
+
-
EP_270 3.40e-06
+
-
 
0
20
40
60
80
100

Time 617.6 secs.

Motif 3

Previous Top

Summary

Sequence Logo

E-value 5.7e-002
Width 15
Sites 21
show more
PNG LOGOS require CONVERT from ImageMagick; see MEME installation guide

Download LOGO
   Orientation:    SSC:    Format:    Width: cm    Height: cm   

Regular expression

[CGT][CT]ATT[CT]AA[AT]TGC[AT][AC]A

Further Analysis

Submit this motif to  
      
      
      
      
 Mouse-over buttons for more information.

Data Formats

View the motif in PSPM Format 
     PSSM Format 
     BLOCKS Format 
     FASTA Format 
     Raw Format 
     or Hide

Sites

Click on any row to highlight sequence in all motifs.

Name Strand Start p-value Sites
EP_196 - 18 3.07e-08 TGCTGAACGA CTATTTAAATGCAAA TCCTACGGTT
EP_67 - 84 6.65e-08 T CTCTTCAAATGCAAA TGTGTCTAAG
EP_101 + 56 9.10e-08 TGACGAGCCC CTATTAAAATGCAAA TTCCCCTTGA
EP_203 + 82 1.43e-07 ATTGTTGGCA GCATTTAAATGCACA TTT
EP_187 - 73 1.43e-07 TTTGAATTTT TCCTTCAAATGCAAA TAAAGGCACT
EP_183 + 7 2.04e-07 AGCTTTA CCATTCAGTTGCACA ACCAAGTGGG
EP_260 - 75 7.10e-07 AGAACAATAG TTATTCAGATGCTAA GCGATCACAC
EP_181 + 0 7.10e-07 GTATTCAACTGCAAA GTTGAGCTAT
EP_209 - 66 8.64e-07 CGGGAGTGTG GCATTCAAGTGCTAA CTGGCTGATG
EP_216 + 73 1.03e-06 CCCGGCTCAA CAACTCAAATGCAAA AGAGAGCAAT
EP_30 - 43 1.79e-06 AACAAAAGTG TCATTCAGTTTCAAA ATGGACAAAA
EP_150 + 22 1.94e-06 AATCTAAATG CCATTTGATTTCAAA GCCACTAATC
EP_49 - 77 1.94e-06 TGCTGATT TCATTTAGATGCTCA GATAGATGTC
EP_152 - 24 2.09e-06 CAATAAGATG TCATTGAATTGCACA TATGATTGAT
EP_147 + 31 2.26e-06 ATGAAAGAAT CCACTCAAAGGCACA GCAGGCCACT
EP_77 + 39 2.45e-06 CCAGCACTTA CTATACAATTGCTAA GTACCTACTA
EP_119 + 15 3.64e-06 TTACCTGGAG CCCTTTGAATTCAAA CAAAGAAAGT
EP_72 - 84 3.64e-06 C GTACTAAATTGCTAA TAGCTTCCCC
EP_266 + 29 4.84e-06 GCCTACAAAA GTCTTTGAATGCTAA TGTTCACACT
EP_80 - 51 4.84e-06 TGGCTTTGTT CCATTAAATAGCACA AAGAATGGGC
EP_75 - 53 9.92e-06 AGCTAGATTA CCACTCAAATTGTAA TTACCTCTAT

Block Diagrams

The height of the motif "block" is proportional to -log(p-value), truncated at the height for a motif with a p-value of 1e-10.
Click on any row to highlight sequence in all motifs. Mouse over the center of the motif blocks to see more information.

Name Lowest p-value Motif Location
EP_30 1.79e-06
+
-
EP_49 1.94e-06
+
-
EP_67 6.65e-08
+
-
EP_72 3.64e-06
+
-
EP_75 9.92e-06
+
-
EP_77 2.45e-06
+
-
EP_80 4.84e-06
+
-
EP_101 9.10e-08
+
-
EP_119 3.64e-06
+
-
EP_147 2.26e-06
+
-
EP_150 1.94e-06
+
-
EP_152 2.09e-06
+
-
EP_181 7.10e-07
+
-
EP_183 2.04e-07
+
-
EP_187 1.43e-07
+
-
EP_196 3.07e-08
+
-
EP_203 1.43e-07
+
-
EP_209 8.64e-07
+
-
EP_216 1.03e-06
+
-
EP_260 7.10e-07
+
-
EP_266 4.84e-06
+
-
 
0
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Time 874 secs.

All Motifs

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Combined Block Diagrams

Non-overlapping sites with a p-value better than 0.0001.
The height of the motif "block" is proportional to -log(p-value), truncated at the height for a motif with a p-value of 1e-10.
Click on any row to highlight sequence in all motifs. The motif blocks have tool tips with more information.

Motif 1
Motif 2
Motif 3
Name Combined p-value Motif Location
EP_1 5.61e-04
+
-
EP_10 4.09e-02
+
-
EP_12 3.04e-02
+
-
EP_13 8.22e-02
+
-
EP_17 3.52e-04
+
-
EP_19 1.05e-04
+
-
EP_21 8.02e-05
+
-
EP_22 3.67e-04
+
-
EP_27 1.07e-03
+
-
EP_30 1.52e-03
+
-
EP_33 1.41e-02
+
-
EP_34 1.34e-02
+
-
EP_38 1.00e-02
+
-
EP_39 2.43e-03
+
-
EP_40 4.50e-04
+
-
EP_45 1.31e-02
+
-
EP_49 5.32e-03
+
-
EP_53 7.18e-04
+
-
EP_55 3.24e-04
+
-
EP_56 2.38e-02
+
-
EP_57 1.57e-03
+
-
EP_58 8.41e-03
+
-
EP_59 6.32e-03
+
-
EP_61 1.23e-03
+
-
EP_62 1.51e-03
+
-
EP_67 1.89e-05
+
-
EP_69 4.24e-03
+
-
EP_71 4.63e-02
+
-
EP_72 2.18e-04
+
-
EP_73 1.54e-02
+
-
EP_74 1.83e-02
+
-
EP_75 5.82e-03
+
-
EP_77 6.06e-04
+
-
EP_80 2.57e-06
+
-
EP_81 2.20e-03
+
-
EP_85 1.30e-05
+
-
EP_86 4.21e-04
+
-
EP_89 5.52e-02
+
-
EP_94 3.70e-03
+
-
EP_101 7.65e-05
+
-
EP_102 3.41e-03
+
-
EP_103 3.03e-03
+
-
EP_106 1.52e-02
+
-
EP_113 1.10e-02
+
-
EP_116 4.11e-02
+
-
EP_117 9.65e-03
+
-
EP_118 6.27e-05
+
-
EP_119 7.96e-04
+
-
EP_121 3.22e-02
+
-
EP_122 9.16e-04
+
-
EP_123 3.13e-02
+
-
EP_124 5.28e-03
+
-
EP_125 1.30e-04
+
-
EP_127 1.07e-02
+
-
EP_128 9.79e-03
+
-
EP_129 8.50e-02
+
-
EP_130 1.19e-03
+
-
EP_131 1.53e-02
+
-
EP_133 5.19e-03
+
-
EP_137 3.67e-02
+
-
EP_139 2.25e-03
+
-
EP_141 8.71e-04
+
-
EP_142 9.15e-02
+
-
EP_145 7.99e-03
+
-
EP_147 3.03e-06
+
-
EP_149 4.37e-02
+
-
EP_150 1.19e-03
+
-
EP_151 1.04e-02
+
-
EP_152 1.09e-03
+
-
EP_155 2.82e-04
+
-
EP_156 2.69e-05
+
-
EP_159 4.09e-02
+
-
EP_163 1.49e-03
+
-
EP_171 1.81e-02
+
-
EP_176 5.77e-03
+
-
EP_180 1.03e-03
+
-
EP_181 3.76e-04
+
-
EP_183 9.09e-05
+
-
EP_184 6.97e-03
+
-
EP_187 1.00e-05
+
-
EP_189 1.99e-06
+
-
EP_190 3.35e-02
+
-
EP_192 6.51e-03
+
-
EP_194 1.83e-02
+
-
EP_195 1.43e-03
+
-
EP_196 1.43e-05
+
-
EP_200 1.90e-03
+
-
EP_203 8.23e-07
+
-
EP_207 1.03e-01
+
-
EP_208 3.46e-02
+
-
EP_209 1.27e-03
+
-
EP_211 1.44e-02
+
-
EP_214 2.57e-02
+
-
EP_216 4.36e-06
+
-
EP_218 3.35e-02
+
-
EP_220 5.17e-03
+
-
EP_222 6.46e-03
+
-
EP_225 2.62e-04
+
-
EP_230 7.77e-05
+
-
EP_232 2.00e-02
+
-
EP_237 1.67e-05
+
-
EP_239 1.27e-02
+
-
EP_248 2.00e-02
+
-
EP_254 9.55e-05
+
-
EP_255 4.66e-03
+
-
EP_260 1.14e-03
+
-
EP_263 1.60e-03
+
-
EP_265 2.40e-02
+
-
EP_266 5.40e-03
+
-
EP_267 3.24e-02
+
-
EP_269 4.38e-02
+
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EP_270 2.84e-04
+
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Motif 1
Motif 2
Motif 3
Top
MEME version
4.8.1 (Release date: Tue Feb 7 14:03:40 EST 2012)
Reference
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.
show training set...
Command line summary

Letter frequencies in dataset
A: 0.276   C: 0.224   G: 0.224   T: 0.276

Background letter frequencies (from dataset with add-one prior applied):
A: 0.276   C: 0.224   G: 0.224   T: 0.276

Stopping Reason
Stopped because nmotifs = 3 reached. Program ran on compute-0-8.local.
show model parameters...

Explanation of MEME Results

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The MEME results consist of

  • The overview of all discovered motifs.
  • Information on each of the motifs MEME discovered, including:
    1. A summary table showing the width, number of contributing sites, log likelihood ratio, statistical significance, information content and relative entropy of the motif.
    2. A sequence LOGO.
    3. Downloadable LOGO files suitable for publication.
    4. A regular expression describing the motif.
    5. Some further analysis that can be performed on the motif.
    6. A list of data formats describing the motif.
    7. The contributing sites of the motif sorted by p-value and aligned with each other.
    8. The block diagrams of the contributing sites of the motif within each sequence in the training set.
  • A combined block diagram showing an optimized (non-overlapping) tiling of all of the motifs onto each of the sequences in the training set.
  • The version of MEME and the date it was released.
  • The reference to cite if you use MEME in your research.
  • A description of the sequences you submitted (the "training set") showing the name, "weight" and length of each sequence.
  • The command line summary detailing the parameters with which you ran MEME.
  • The reason why MEME stopped and the name of the CPU on which it ran.
  • This explanation of how to interpret MEME results.

Motifs

For each motif that it discovers in the training set, MEME prints the following information:

Summary Table

This summary table gives the main attributes of the motif.

E-value
The statistical significance of the motif. MEME usually finds the most statistically significant (low E-value) motifs first. The E-value of a motif is based on its log likelihood ratio, width, sites, the background letter frequencies (given in the command line summary), and the size of the training set. The E-value is an estimate of the expected number of motifs with the given log likelihood ratio (or higher), and with the same width and site count, that one would find in a similarly sized set of random sequences. (In random sequences each position is independent with letters chosen according to the background letter frequencies.)
Width
The width of the motif. Each motif describes a pattern of a fixed with as no gaps are allowed in MEME motifs.
Sites
The number of sites contributing to the construction of the motif.
Log Likelihood Ratio
The log likelihood ratio of the motif.The log likelihood ratio is the logarithm of the ratio of the probability of the occurrences of the motif given the motif model (likelihood given the motif) versus their probability given the background model (likelihood given the null model). (Normally the background model is a 0-order Markov model using the background letter frequencies, but higher order Markov models may be specified via the -bfile option to MEME.)
Information Content
The information content of the motif in bits. It is equal to the sum of the uncorrected information content, R(), in the columns of the LOGO. This is equal relative entropy of the motif relative to a uniform background frequency model.
Relative Entropy
The relative entropy of the motif, computed in bits and relative to the background letter frequencies given in the command line summary. It is equal to the log-likelihood ratio (llr) divided by the number of contributing sites of the motif times 1/ln(2),

re = llr / (sites * ln(2)).
Sequence LOGO

MEME motifs are represented by position-specific probability matrices that specify the probability of each possible letter appearing at each possible position in an occurrence of the motif. These are displayed as "sequence LOGOS", containing stacks of letters at each position in the motif. The total height of the stack is the "information content" of that position in the motif in bits. The height of the individual letters in a stack is the probability of the letter at that position multiplied by the total information content of the stack.

Note: The MEME LOGO differs from those produced by the Weblogo program because a small-sample correction is NOT applied. However, MEME LOGOs in PNG and encapsulated postscript (EPS) formats with small-sample correction (SSC) are available by clicking on the download button with "SSC" set to "on" under Download LOGO. The MEME LOGOs without small sample correction are similarly available. Error bars are included in the LOGOs with small-sample correction.

Modern web browsers supporting the canvas element and it's text manipulation functions as described in the html 5 standard, can render the sequence LOGOs without needing the images. The browsers which work with this feature are:

  • Firefox 3.5 and above
  • Safari 4 and above
  • Google Chrome 4 and above

Unfortunately Internet Explorer 8 does not support any html 5 features.

The information content of each motif position is computed as described in the paper by Schneider and Stephens, "Sequence Logos: A New Way to Display Consensus Sequences" but the small-sample correction, e(n), is set to zero for the LOGO displayed in the MEME output. The corrected information content of position i is given by

            R(i) for amino acids   = log2(20) - (H(i) + e(n))   (1a) 
            R(i) for nucleic acids =    2    - (H(i) + e(n))    (1b)
          

where H(i) is the entropy of position i,

            H(l) = - (Sum f(a,i) * log2[ f(a,i) ]).             (2)
          

Here, f(a,i) is the frequency of base or amino acid a at position i, and e(n) is the small-sample correction for an alignment of n letters. The height of letter a in column i is given by

            height = f(a,i) * R(i)                              (3)
          

The approximation for the small-sample correction, e(n), is given by:

            e(n) = (s-1) / (2 * ln(2) * n),                     (4)
          

where s is 4 for nucleotides, 20 for amino acids, and n is the number of sequences in the alignment.

The letters in the logos are colored as follows.
For DNA sequences, the letter categories contain one letter each.

NUCLEIC ACIDS COLOR
A RED
C BLUE
G ORANGE
T GREEN

For proteins, the categories are based on the biochemical properties of the various amino acids.

AMINO ACIDS COLOR PROPERTIES
A, C, F, I, L, V, W and M BLUE Most hydrophobic[Kyte and Doolittle, 1982]
NQST GREEN Polar, non-charged, non-aliphatic residues
DE MAGENTA Acidic
KR RED Positively charged
H PINK  
G ORANGE  
P YELLOW  
Y TURQUOISE  

J. Kyte and R. Doolittle, 1982. "A Simple Method for Displaying the Hydropathic Character of a Protein", J. Mol Biol. 157, 105-132.

Note: the "text" output format of MEME preserves the historical MEME format where LOGOS are replaced by a simplified probability matrix, a relative entropy plot, and a multi-level consensus sequence.

Download LOGO

Logos can be generated on the fly by the meme webservice and you may specify a number of options to customize them to your needs. The options are:

Orientation
Only valid for nucleotide motifs. Generate the standard view or the reverse complemented view of the motif.
SSC
Use small sample correction and show errorbars on the image. Small sample correction is used by the Weblogo program.
Format
The format of the generated image. If the image is to be used on the web then png is recommend. If the image is to be published then eps is recommended.
Width
The width of the generated image in centimetres.
Height
The height of the generated image in centimetres.

Regular Expression

This is a regular expression (RE) describing the motif. In each column, all letters with observed frequencies greater than 0.2 are shown; less-frequent letters are not included in the RE. MEME regular expressions are interpreted as follows: single letters match that letter; groups of letters in square brackets match any of the letters in the group. Regular expressions can be used for searching for the motif in sequences (using, for example, PatMatch) but the search accuracy will usually be better with the PSSM (using, for example MAST.)

Further Analysis

Either as a group or individually the motifs have a number of options for further analysis.

MAST
Finds the best matching positions for a set of motifs in each sequence provided to it, ranked by the combined score of each sequence. For more information about MAST please read the introduction.
FIMO
Finds all matches for a motif. For more information about FIMO please read the introduction.
TOMTOM
Compares a single motif to a database of motifs. For more information about TOMTOM please read the introduction.
GOMO
Identifies possible roles of DNA binding motifs. For more information about GOMO please read the introduction.
BLOCKS
Submit to Blocks Multiple Alignment Processor where you can do several things like create phylogeny trees and search the blocks against a database of other blocks (protein only). For more information about BLOCKS Multiple Alignment Processor please visit the website.
Data Formats

The extracted data is avaliable in the following formats.

PSPM Format
The motif itself is a position-specific probability matrix giving, for each position in the pattern, the observed frequency ("probability") of each possible letter. The probability matrix is printed "sideways"--columns correspond to the letters in the alphabet (in the same order as shown in the simplified motif) and rows corresponding to the positions of the motif, position one first. The motif is preceded by a line starting with "letter-probability matrix:" and containing the length of the alphabet, width of the motif, number of occurrences of the motif, and the E-value of the motif.
Note: Earlier versions of MEME gave the posterior probabilities--the probability after applying a prior on letter frequencies--rather than the observed frequencies. These versions of MEME also gave the number of possible positions for the motif rather than the actual number of occurrences. The output from these earlier versions of MEME can be distinguished by "n=" rather than "nsites=" in the line preceding the matrix.
PSSM Format
The position-specific scoring matrix corresponding to the motif is printed for use by database search programs such as MAST. This matrix is a log-odds matrix calculated by taking 100 times the log (base 2) of the ratio p/f at each position in the motif where p is the probability of a particular letter at that position in the motif, and f is the background frequency of the letter (given in the command line summary section.) This is the same matrix that is used above in computing the p-values of the occurrences of the motif in the Sites and Block Diagrams sections. The scoring matrix is printed "sideways"--columns correspond to the letters in the alphabet (in the same order as shown in the simplified motif) and rows corresponding to the positions of the motif, position one first. The scoring matrix is preceded by a line starting with "log-odds matrix:" and containing the length of the alphabet, width of the motif, number of characters in the training set, the scoring threshold (obsolete) and the motif E-value.
Note: The probability p used to compute the PSSM is not exactly the same as the corresponding value in the Position Specific Probability Matrix (PSPM). The values of p used to compute the PSSM take into account the motif prior, whereas the values in the PSPM are just the observed frequencies of letters in the motif sites.
BLOCKS Format
For use with BLOCKS tools.
FASTA Format
The FASTA format as described here.
Raw Format
Just the sites of the sequences that contributed to the motif. One site per line.
Sites

MEME displays the occurrences (sites) of the motif in the training set. The sites are shown aligned with each other, and the ten sequence positions preceding and following each site are also shown. Each site is identified by the name of the sequence where it occurs, the strand (if both strands of DNA sequences are being used), and the position in the sequence where the site begins. When the DNA strand is specified, '+' means the sequence in the training set, and '-' means the reverse complement of the training set sequence. (For '-' strands, the 'start' position is actually the position on the positive strand where the site ends.) The sites are listed in order of increasing statistical significance (p-value). The p-value of a site is computed from the the match score of the site with the position specific scoring matrix for the motif. The p-value gives the probability of a random string (generated from the background letter frequencies) having the same match score or higher. (This is referred to as the position p-value by the MAST algorithm.)

Block Diagrams

The occurrences of the motif in the training set sequences are shown as coloured blocks on a line. One diagram is printed for each sequence showing all the sites contributating to that motif in that sequence. The sequences are listed in the same order as in the input to make it easier to compare multiple block diagrams. Additionally the best p-value for the sequence/motif combination is listed though this may not be in ascending order as with the sites. The p-value of an occurrence is the probability of a single random subsequence the length of the motif, generated according to the 0-order background model, having a score at least as high as the score of the occurrence. When the DNA strand is specified '+', it means the motif appears from left to right on the sequence, and '-' means the motif appears from right to left on the complementary strand. A sequence position scale is shown at the end of each table of block diagrams.

Combined Block Diagrams

The motif occurrences shown in the motif summary may not be exactly the same as those reported in each motif section because only motifs with a position p-value of 0.0001 that don't overlap other, more significant motif occurrences are shown.

See the documentation for MAST output for the definition of position and combined p-values.