******************************************************************************** MEME - Motif discovery tool ******************************************************************************** MEME version 5.5.1 (Release date: Sun Jan 29 10:33:12 2023 -0800) For further information on how to interpret these results please access https://meme-suite.org/meme. To get a copy of the MEME Suite software please access https://meme-suite.org. ******************************************************************************** ******************************************************************************** REFERENCE ******************************************************************************** If you use this program in your research, please cite: Timothy L. Bailey and Charles Elkan, "Fitting a mixture model by expectation maximization to discover motifs in biopolymers", Proceedings of the Second International Conference on Intelligent Systems for Molecular Biology, pp. 28-36, AAAI Press, Menlo Park, California, 1994. ******************************************************************************** ******************************************************************************** TRAINING SET ******************************************************************************** PRIMARY SEQUENCES= TRAIN.fasta CONTROL SEQUENCES= --none-- ALPHABET= ACGT Sequence name Weight Length Sequence name Weight Length ------------- ------ ------ ------------- ------ ------ Seq1 1.0000 25 Seq2 1.0000 25 Seq3 1.0000 25 Seq4 1.0000 25 Seq5 1.0000 25 Seq6 1.0000 25 Seq7 1.0000 25 Seq8 1.0000 25 Seq9 1.0000 25 Seq10 1.0000 25 Seq11 1.0000 25 Seq12 1.0000 25 Seq13 1.0000 25 Seq14 1.0000 25 Seq15 1.0000 25 Seq16 1.0000 25 Seq17 1.0000 25 Seq18 1.0000 25 Seq19 1.0000 25 Seq20 1.0000 25 Seq21 1.0000 25 Seq22 1.0000 25 Seq23 1.0000 25 Seq24 1.0000 25 Seq25 1.0000 25 Seq26 1.0000 25 Seq27 1.0000 25 Seq28 1.0000 25 Seq29 1.0000 25 Seq30 1.0000 25 Seq31 1.0000 25 Seq32 1.0000 25 Seq33 1.0000 25 Seq34 1.0000 25 Seq35 1.0000 25 Seq36 1.0000 25 Seq37 1.0000 25 Seq38 1.0000 25 Seq39 1.0000 25 Seq40 1.0000 25 Seq41 1.0000 25 Seq42 1.0000 25 Seq43 1.0000 25 Seq44 1.0000 25 Seq45 1.0000 25 Seq46 1.0000 25 Seq47 1.0000 25 Seq48 1.0000 25 Seq49 1.0000 25 Seq50 1.0000 25 Seq51 1.0000 25 Seq52 1.0000 25 Seq53 1.0000 25 Seq54 1.0000 25 Seq55 1.0000 25 Seq56 1.0000 25 Seq57 1.0000 25 Seq58 1.0000 25 Seq59 1.0000 25 Seq60 1.0000 25 Seq61 1.0000 25 Seq62 1.0000 25 Seq63 1.0000 25 Seq64 1.0000 25 Seq65 1.0000 25 Seq66 1.0000 25 Seq67 1.0000 25 Seq68 1.0000 25 Seq69 1.0000 25 Seq70 1.0000 25 Seq71 1.0000 25 Seq72 1.0000 25 Seq73 1.0000 25 Seq74 1.0000 25 Seq75 1.0000 25 Seq76 1.0000 25 Seq77 1.0000 25 Seq78 1.0000 25 Seq79 1.0000 25 Seq80 1.0000 25 Seq81 1.0000 25 Seq82 1.0000 25 Seq83 1.0000 25 Seq84 1.0000 25 Seq85 1.0000 25 Seq86 1.0000 25 Seq87 1.0000 25 Seq88 1.0000 25 Seq89 1.0000 25 Seq90 1.0000 25 Seq91 1.0000 25 Seq92 1.0000 25 Seq93 1.0000 25 Seq94 1.0000 25 Seq95 1.0000 25 Seq96 1.0000 25 Seq97 1.0000 25 Seq98 1.0000 25 Seq99 1.0000 25 Seq100 1.0000 25 Seq101 1.0000 25 Seq102 1.0000 25 Seq103 1.0000 25 Seq104 1.0000 25 Seq105 1.0000 25 Seq106 1.0000 25 Seq107 1.0000 25 Seq108 1.0000 25 Seq109 1.0000 25 Seq110 1.0000 25 Seq111 1.0000 25 Seq112 1.0000 25 Seq113 1.0000 25 Seq114 1.0000 25 Seq115 1.0000 25 Seq116 1.0000 25 Seq117 1.0000 25 Seq118 1.0000 25 Seq119 1.0000 25 Seq120 1.0000 25 Seq121 1.0000 25 Seq122 1.0000 25 Seq123 1.0000 25 Seq124 1.0000 25 Seq125 1.0000 25 ******************************************************************************** ******************************************************************************** COMMAND LINE SUMMARY ******************************************************************************** This information can also be useful in the event you wish to report a problem with the MEME software. command: meme TRAIN.fasta -dna -nmotifs 1 -minw 5 -maxw 10 model: mod= zoops nmotifs= 1 evt= inf objective function: em= E-value of product of p-values starts= E-value of product of p-values strands: + width: minw= 5 maxw= 10 nsites: minsites= 2 maxsites= 125 wnsites= 0.8 theta: spmap= uni spfuzz= 0.5 em: prior= dirichlet b= 0.01 maxiter= 50 distance= 1e-05 trim: wg= 11 ws= 1 endgaps= yes data: n= 3125 N= 125 sample: seed= 0 hsfrac= 0 searchsize= 3125 norand= no csites= 1000 Letter frequencies in dataset: A 0.428 C 0.056 G 0.212 T 0.304 Background letter frequencies (from file dataset with add-one prior applied): A 0.428 C 0.0562 G 0.212 T 0.304 Background model order: 0 ******************************************************************************** ******************************************************************************** MOTIF WWWWAGGTGA MEME-1 width = 10 sites = 121 llr = 582 E-value = 9.4e-072 ******************************************************************************** -------------------------------------------------------------------------------- Motif WWWWAGGTGA MEME-1 Description -------------------------------------------------------------------------------- Simplified A 544561:2:6 pos.-specific C 111:1::::: probability G ::2228a1a2 matrix T 444321:8:1 bits 4.2 3.7 3.3 2.9 Relative 2.5 Entropy 2.1 * * (6.9 bits) 1.7 * * 1.2 ** * 0.8 ** * 0.4 **** 0.0 ---------- Multilevel AAAAAGGTGA consensus TTTT G sequence -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Motif WWWWAGGTGA MEME-1 sites sorted by position p-value -------------------------------------------------------------------------------- Sequence name Start P-value Site ------------- ----- --------- ---------- Seq31 12 3.85e-06 GATAGCATGT TCTAAGGTGA GATA Seq115 11 7.71e-06 TAATAATATA ACTTAGGTGA AAAAC Seq75 10 7.71e-06 ATTTTTTTA ACTGAGGTGA GACATT Seq47 13 2.61e-05 TAAAAATTTA ACAAAGGTGA TTA Seq42 13 2.61e-05 GGAGCGAAAT TCTGAGGTGA TTA Seq32 11 2.61e-05 TTCCATAATA ATTAAGGTGA GAAAT Seq87 11 3.97e-05 TAATTAAGAT TTTAAGGTGA TAAAT Seq74 12 3.97e-05 AATTAAACTA TTTAAGGTGA TATT Seq67 12 3.97e-05 TAATTAAATT TTTAAGGTGA AAAA Seq22 12 3.97e-05 AAACCTATAA TCAAAGGTGA AATT Seq5 10 3.97e-05 AAAATTAAT TTTAAGGTGA AGAACT Seq112 12 6.99e-05 AAAATACAAA ACATAGGTGA ATAA Seq91 12 6.99e-05 TGTCACAATC ATTAAGGTGG TATT Seq89 11 6.99e-05 AAAAAAGGAA ATTTAGGTGA GAAAA Seq116 11 1.30e-04 AATCACATTT ATCTCGGTGA TTGTC Seq92 13 1.30e-04 ATAATTTAAA ATAAAGGTGA AAA Seq70 10 1.30e-04 TTAAAAATA CTTAGGGTGA TATATC Seq52 11 1.30e-04 TAAATAGATG ATAAAGGTGA ATAAA Seq27 12 1.30e-04 AAATCTACAT TTTGAGGTGA GTTT Seq18 10 1.30e-04 GGAGGAACA ATAAAGGTGA GAGCTT Seq44 12 1.74e-04 AAAGGTTTAA AACACGGTGA GAAT Seq29 11 1.74e-04 CCTCTTAGTT TATAAGGTGA GAGTT Seq121 12 2.61e-04 CTTTATTTTA AATGAGGTGA TAAC Seq96 12 2.61e-04 ATGAGATTTT AATTAGGTGA TAAA Seq84 12 2.61e-04 TTGAAGATTA TTTGAGGTGG AAGA Seq81 12 2.61e-04 TAAAAAATAA ATGAAGGTGA AACA Seq69 11 2.61e-04 CAACAACAAA AATGAGGTGA GGTAG Seq55 13 2.61e-04 TATTATCCGA AATTCGGTGA TAC Seq45 11 2.61e-04 GGTTTAAAAA ATAAAGGTGG TAACC Seq76 10 3.58e-04 ACAAAAATA AAAAAGGTGA GACAAT Seq50 12 3.58e-04 ATTAAATTAA AAAACGGTGA TGAA Seq16 10 3.58e-04 TAAACATTA TTAAAGGTGG TATATT Seq14 13 3.58e-04 AAGAATAACT AAAAAGGTGA GGT Seq4 11 3.58e-04 ACATTTTTAT TATTAGGTGA TGAGG Seq30 10 4.38e-04 TTTTAATTT AACAGGGTGA GATGTT Seq78 12 5.52e-04 TTAGAAAATT TTTATGGTGA TATT Seq6 11 5.52e-04 ATAGAACTAA AAATAGGTGA TAATT Seq120 11 6.44e-04 ATCAAGAATA TAGAAGGTGA AGATT Seq40 13 6.44e-04 ATTTAATATG TTAGGGGTGA GAT Seq25 11 6.44e-04 CACAATAAGA AAAAGGGTGA TGTAG Seq21 10 6.44e-04 GTAAAAATC TAATAGGTGA AAAAAT Seq17 12 6.44e-04 AAATAATTTA TAAAAGGTGG AAAG Seq15 9 6.44e-04 ACTCAAAA TAAGAGGTGA ATTTAAT Seq114 11 7.41e-04 AGGATTGTTT AAATAGGTGG CAATT Seq106 12 7.41e-04 GAATAAATAT TTGGAGGTGG GTTA Seq80 11 7.41e-04 CCTTCTATAT TTTTTGGTGA GTTTA Seq66 11 8.24e-04 AACCACTATT TTGAGGGTGG AAAAT Seq49 11 8.24e-04 AAAATAACAA TTAATGGTGA ATTAA Seq43 12 8.24e-04 GGCATAAAAC ACGTTGGTGA TAGT Seq86 13 9.04e-04 TTATATTGAG ATAGTGGTGA TAA Seq63 11 9.04e-04 GACTGGCGAC CATCGGGTGA TAATA Seq2 12 9.04e-04 ATGATTAAAA AAACAGGTGA TGAT Seq85 12 9.88e-04 TATTAAAAAA TTATTGGTGA AATT Seq71 12 9.88e-04 GTTATATATA CAAATGGTGA AGAA Seq57 13 9.88e-04 AAAAAACTTT AACCGGGTGA GAG Seq102 12 1.05e-03 ATAAATAATA TAGAGGGTGG AAAC Seq68 13 1.05e-03 TGGTAAATGC ATAGTGGTGG AAT Seq38 13 1.22e-03 AATTCTTCAT TCTTGGGTGT TTA Seq119 13 1.33e-03 GAGAAGAAGG AAGGTGGTGA ATA Seq33 10 1.33e-03 AAAAGATGA TGTAAGGTGA TAATTT Seq23 12 1.33e-03 TTAAAAATAT GTTAAGGTGA AAGA Seq19 12 1.33e-03 AGAGTAAAAC TTAGAGGTGC AGTA Seq58 10 1.44e-03 TGAATATTT TAGTTGGTGA TAAAGT Seq48 13 1.44e-03 AACACGAATT ATGGAGGTGC AAC Seq1 11 1.44e-03 AATTACTATT AATGAGGTGT CTATT Seq46 11 1.61e-03 AATTAAAATA AGAAAGGTGA AATAC Seq39 13 1.61e-03 AAATAACTAT TTTTGGGTGT TAA Seq8 12 1.80e-03 TTGAATGAAA ATGGAGGTGT AAAA Seq109 11 2.01e-03 AGTGAATAAT AGAGAGGTGA AAAAA Seq104 11 2.01e-03 TTTAACTATT TTGGAGGTGT TGATT Seq59 11 2.01e-03 ATTGTCTCAA AGATAGGTGA AAGTT Seq53 10 2.01e-03 GTAATAAAT ATTTCGGAGG TTAGAT Seq36 11 2.01e-03 AAAAATAAAA TCAATGGTGT AGGAA Seq117 11 2.29e-03 ATTTTACTTT GATTAGGTGA TACAA Seq99 9 2.29e-03 AAAACAAC ATAAAGGAGG TAATTAC Seq51 11 2.29e-03 AAAAATTTGA AACAAGGGGA TGAAT Seq98 12 2.62e-03 AATTTAATTA ACATGGGGGA TAAT Seq10 9 2.62e-03 AATAAAGT TATAAGGAGG AGTGAAA Seq3 8 2.92e-03 TAAAAAG ATGAAGGAGG TCGAAAAT Seq95 11 3.30e-03 AAGTTTAATA AAAAAGGAGG ATAAA Seq54 12 3.30e-03 ATTAAATTTC TACATGGTGT TAAT Seq24 13 3.30e-03 TTATAAAGTA ATGAGGGAGA AAC Seq113 15 3.71e-03 ATATAAAACT TTAAGGGAGG A Seq60 12 3.71e-03 GTAAAACATG AAAGAGGGGA GATG Seq9 6 3.71e-03 AAATA ATAAAAGTGA AGGGGATAAA Seq101 15 4.55e-03 TATTTTAAAA AAGAGGGAGA G Seq28 12 4.55e-03 AAATTTAAAT AAGAGGGAGA TAAT Seq26 10 4.55e-03 TTAAAAATT CTTTTGGAGG GAAAAC Seq12 10 4.55e-03 AAACAACTG CTGAGGGGGG AGAATA Seq105 11 5.03e-03 TTTTTTATTA AAAAAAGTGA TAGTT Seq73 13 5.03e-03 AAAAAATAAT TGAATGGTGG TTA Seq125 13 5.50e-03 TTAAAAAGTT CTTATAGTGA AAA Seq111 11 5.50e-03 TTAACAATAT TTTTATGTGA TGACT Seq110 9 5.50e-03 TAAAAATA TACAAAGTGG GGATGGT Seq94 12 6.00e-03 GTTGTTATAA AATAGAGTGG AAAC Seq11 11 6.00e-03 TAAAAAAGTT CTATTGGAGG GAGAA Seq7 13 6.00e-03 AATGGGAAGA AATTGAGTGA TTT Seq124 11 6.53e-03 GAAGTATTTT AATTCTGTGA TTATT Seq123 12 6.53e-03 AAAGTATTAA AAAAGAGTGA TTTC Seq118 10 7.09e-03 TAAGAAATC CCTCCGGAGT AAAAAA Seq103 13 7.60e-03 AATTAAATTA ATTTTAGTGG GAA Seq35 7 7.60e-03 AGAGTT TATAAGGAGT GTGTAGAGT Seq20 8 7.60e-03 ATAATCA AAATTGGAGG TAAAGACC Seq77 13 8.76e-03 GTGATAATAA ATAAGGGAGT GAT Seq72 13 9.29e-03 AATTTCCTCT ATGTTAGTGA GAA Seq56 13 9.29e-03 ATTTGAATAA ATAATTGTGA GAG Seq88 12 9.86e-03 AAACTAATTG GAAGAGGTGT AAAA Seq65 8 1.05e-02 GCTGAAC CCTTAAGAGA GGGATAGT Seq83 10 1.31e-02 ATTAATAAA TATTGGCTGG TAAATT Seq64 13 1.31e-02 AAATAAATAA TAAGAAGTGC TAT Seq107 11 1.58e-02 AGTTAAACAT GTAAAGGCGA GGTAA Seq13 9 1.58e-02 TAAAAAAT TATAAAGAGG GATAAAG Seq90 7 1.67e-02 ATATTG AACTAAGGGA TGGGATTGT Seq82 10 1.67e-02 TTATTAAAC TTTTGAGGGA TAGTAT Seq108 12 1.78e-02 AATAATAATT TTTTCTGGGA TGCG Seq97 10 2.00e-02 TAAAATAAA AATTGAGAGG GCTCCT Seq79 12 2.00e-02 AAAAATAAAA GAAACTGTGA TAGT Seq62 8 2.11e-02 CTTAAAT ATAGATGAGG AATAAAAT Seq122 16 2.32e-02 AAAGGTTGAG AGGGAGGAGT Seq37 11 2.61e-02 TTAAGATTTT AAGATAGGGA TTTAT Seq41 16 3.20e-02 ATTTTCTTTT TATAATGGGT -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Motif WWWWAGGTGA MEME-1 block diagrams -------------------------------------------------------------------------------- SEQUENCE NAME POSITION P-VALUE MOTIF DIAGRAM ------------- ---------------- ------------- Seq31 3.9e-06 11_[+1]_4 Seq115 7.7e-06 10_[+1]_5 Seq75 7.7e-06 9_[+1]_6 Seq47 2.6e-05 12_[+1]_3 Seq42 2.6e-05 12_[+1]_3 Seq32 2.6e-05 10_[+1]_5 Seq87 4e-05 10_[+1]_5 Seq74 4e-05 11_[+1]_4 Seq67 4e-05 11_[+1]_4 Seq22 4e-05 11_[+1]_4 Seq5 4e-05 9_[+1]_6 Seq112 7e-05 11_[+1]_4 Seq91 7e-05 11_[+1]_4 Seq89 7e-05 10_[+1]_5 Seq116 0.00013 10_[+1]_5 Seq92 0.00013 12_[+1]_3 Seq70 0.00013 9_[+1]_6 Seq52 0.00013 10_[+1]_5 Seq27 0.00013 11_[+1]_4 Seq18 0.00013 9_[+1]_6 Seq44 0.00017 11_[+1]_4 Seq29 0.00017 10_[+1]_5 Seq121 0.00026 11_[+1]_4 Seq96 0.00026 11_[+1]_4 Seq84 0.00026 11_[+1]_4 Seq81 0.00026 11_[+1]_4 Seq69 0.00026 10_[+1]_5 Seq55 0.00026 12_[+1]_3 Seq45 0.00026 10_[+1]_5 Seq76 0.00036 9_[+1]_6 Seq50 0.00036 11_[+1]_4 Seq16 0.00036 9_[+1]_6 Seq14 0.00036 12_[+1]_3 Seq4 0.00036 10_[+1]_5 Seq30 0.00044 9_[+1]_6 Seq78 0.00055 11_[+1]_4 Seq6 0.00055 10_[+1]_5 Seq120 0.00064 10_[+1]_5 Seq40 0.00064 12_[+1]_3 Seq25 0.00064 10_[+1]_5 Seq21 0.00064 9_[+1]_6 Seq17 0.00064 11_[+1]_4 Seq15 0.00064 8_[+1]_7 Seq114 0.00074 10_[+1]_5 Seq106 0.00074 11_[+1]_4 Seq80 0.00074 10_[+1]_5 Seq66 0.00082 10_[+1]_5 Seq49 0.00082 10_[+1]_5 Seq43 0.00082 11_[+1]_4 Seq86 0.0009 12_[+1]_3 Seq63 0.0009 10_[+1]_5 Seq2 0.0009 11_[+1]_4 Seq85 0.00099 11_[+1]_4 Seq71 0.00099 11_[+1]_4 Seq57 0.00099 12_[+1]_3 Seq102 0.0011 11_[+1]_4 Seq68 0.0011 12_[+1]_3 Seq38 0.0012 12_[+1]_3 Seq119 0.0013 12_[+1]_3 Seq33 0.0013 9_[+1]_6 Seq23 0.0013 11_[+1]_4 Seq19 0.0013 11_[+1]_4 Seq58 0.0014 9_[+1]_6 Seq48 0.0014 12_[+1]_3 Seq1 0.0014 10_[+1]_5 Seq46 0.0016 10_[+1]_5 Seq39 0.0016 12_[+1]_3 Seq8 0.0018 11_[+1]_4 Seq109 0.002 10_[+1]_5 Seq104 0.002 10_[+1]_5 Seq59 0.002 10_[+1]_5 Seq53 0.002 9_[+1]_6 Seq36 0.002 10_[+1]_5 Seq117 0.0023 10_[+1]_5 Seq99 0.0023 8_[+1]_7 Seq51 0.0023 10_[+1]_5 Seq98 0.0026 11_[+1]_4 Seq10 0.0026 8_[+1]_7 Seq3 0.0029 7_[+1]_8 Seq95 0.0033 10_[+1]_5 Seq54 0.0033 11_[+1]_4 Seq24 0.0033 12_[+1]_3 Seq113 0.0037 14_[+1]_1 Seq60 0.0037 11_[+1]_4 Seq9 0.0037 5_[+1]_10 Seq101 0.0045 14_[+1]_1 Seq28 0.0045 11_[+1]_4 Seq26 0.0045 9_[+1]_6 Seq12 0.0045 9_[+1]_6 Seq105 0.005 10_[+1]_5 Seq73 0.005 12_[+1]_3 Seq125 0.0055 12_[+1]_3 Seq111 0.0055 10_[+1]_5 Seq110 0.0055 8_[+1]_7 Seq94 0.006 11_[+1]_4 Seq11 0.006 10_[+1]_5 Seq7 0.006 12_[+1]_3 Seq124 0.0065 10_[+1]_5 Seq123 0.0065 11_[+1]_4 Seq118 0.0071 9_[+1]_6 Seq103 0.0076 12_[+1]_3 Seq35 0.0076 6_[+1]_9 Seq20 0.0076 7_[+1]_8 Seq77 0.0088 12_[+1]_3 Seq72 0.0093 12_[+1]_3 Seq56 0.0093 12_[+1]_3 Seq88 0.0099 11_[+1]_4 Seq65 0.01 7_[+1]_8 Seq83 0.013 9_[+1]_6 Seq64 0.013 12_[+1]_3 Seq107 0.016 10_[+1]_5 Seq13 0.016 8_[+1]_7 Seq90 0.017 6_[+1]_9 Seq82 0.017 9_[+1]_6 Seq108 0.018 11_[+1]_4 Seq97 0.02 9_[+1]_6 Seq79 0.02 11_[+1]_4 Seq62 0.021 7_[+1]_8 Seq122 0.023 15_[+1] Seq37 0.026 10_[+1]_5 Seq41 0.032 15_[+1] -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Motif WWWWAGGTGA MEME-1 in BLOCKS format -------------------------------------------------------------------------------- BL MOTIF WWWWAGGTGA width=10 seqs=121 Seq31 ( 12) TCTAAGGTGA 1 Seq115 ( 11) ACTTAGGTGA 1 Seq75 ( 10) ACTGAGGTGA 1 Seq47 ( 13) ACAAAGGTGA 1 Seq42 ( 13) TCTGAGGTGA 1 Seq32 ( 11) ATTAAGGTGA 1 Seq87 ( 11) TTTAAGGTGA 1 Seq74 ( 12) TTTAAGGTGA 1 Seq67 ( 12) TTTAAGGTGA 1 Seq22 ( 12) TCAAAGGTGA 1 Seq5 ( 10) TTTAAGGTGA 1 Seq112 ( 12) ACATAGGTGA 1 Seq91 ( 12) ATTAAGGTGG 1 Seq89 ( 11) ATTTAGGTGA 1 Seq116 ( 11) ATCTCGGTGA 1 Seq92 ( 13) ATAAAGGTGA 1 Seq70 ( 10) CTTAGGGTGA 1 Seq52 ( 11) ATAAAGGTGA 1 Seq27 ( 12) TTTGAGGTGA 1 Seq18 ( 10) ATAAAGGTGA 1 Seq44 ( 12) AACACGGTGA 1 Seq29 ( 11) TATAAGGTGA 1 Seq121 ( 12) AATGAGGTGA 1 Seq96 ( 12) AATTAGGTGA 1 Seq84 ( 12) TTTGAGGTGG 1 Seq81 ( 12) ATGAAGGTGA 1 Seq69 ( 11) AATGAGGTGA 1 Seq55 ( 13) AATTCGGTGA 1 Seq45 ( 11) ATAAAGGTGG 1 Seq76 ( 10) AAAAAGGTGA 1 Seq50 ( 12) AAAACGGTGA 1 Seq16 ( 10) TTAAAGGTGG 1 Seq14 ( 13) AAAAAGGTGA 1 Seq4 ( 11) TATTAGGTGA 1 Seq30 ( 10) AACAGGGTGA 1 Seq78 ( 12) TTTATGGTGA 1 Seq6 ( 11) AAATAGGTGA 1 Seq120 ( 11) TAGAAGGTGA 1 Seq40 ( 13) TTAGGGGTGA 1 Seq25 ( 11) AAAAGGGTGA 1 Seq21 ( 10) TAATAGGTGA 1 Seq17 ( 12) TAAAAGGTGG 1 Seq15 ( 9) TAAGAGGTGA 1 Seq114 ( 11) AAATAGGTGG 1 Seq106 ( 12) TTGGAGGTGG 1 Seq80 ( 11) TTTTTGGTGA 1 Seq66 ( 11) TTGAGGGTGG 1 Seq49 ( 11) TTAATGGTGA 1 Seq43 ( 12) ACGTTGGTGA 1 Seq86 ( 13) ATAGTGGTGA 1 Seq63 ( 11) CATCGGGTGA 1 Seq2 ( 12) AAACAGGTGA 1 Seq85 ( 12) TTATTGGTGA 1 Seq71 ( 12) CAAATGGTGA 1 Seq57 ( 13) AACCGGGTGA 1 Seq102 ( 12) TAGAGGGTGG 1 Seq68 ( 13) ATAGTGGTGG 1 Seq38 ( 13) TCTTGGGTGT 1 Seq119 ( 13) AAGGTGGTGA 1 Seq33 ( 10) TGTAAGGTGA 1 Seq23 ( 12) GTTAAGGTGA 1 Seq19 ( 12) TTAGAGGTGC 1 Seq58 ( 10) TAGTTGGTGA 1 Seq48 ( 13) ATGGAGGTGC 1 Seq1 ( 11) AATGAGGTGT 1 Seq46 ( 11) AGAAAGGTGA 1 Seq39 ( 13) TTTTGGGTGT 1 Seq8 ( 12) ATGGAGGTGT 1 Seq109 ( 11) AGAGAGGTGA 1 Seq104 ( 11) TTGGAGGTGT 1 Seq59 ( 11) AGATAGGTGA 1 Seq53 ( 10) ATTTCGGAGG 1 Seq36 ( 11) TCAATGGTGT 1 Seq117 ( 11) GATTAGGTGA 1 Seq99 ( 9) ATAAAGGAGG 1 Seq51 ( 11) AACAAGGGGA 1 Seq98 ( 12) ACATGGGGGA 1 Seq10 ( 9) TATAAGGAGG 1 Seq3 ( 8) ATGAAGGAGG 1 Seq95 ( 11) AAAAAGGAGG 1 Seq54 ( 12) TACATGGTGT 1 Seq24 ( 13) ATGAGGGAGA 1 Seq113 ( 15) TTAAGGGAGG 1 Seq60 ( 12) AAAGAGGGGA 1 Seq9 ( 6) ATAAAAGTGA 1 Seq101 ( 15) AAGAGGGAGA 1 Seq28 ( 12) AAGAGGGAGA 1 Seq26 ( 10) CTTTTGGAGG 1 Seq12 ( 10) CTGAGGGGGG 1 Seq105 ( 11) AAAAAAGTGA 1 Seq73 ( 13) TGAATGGTGG 1 Seq125 ( 13) CTTATAGTGA 1 Seq111 ( 11) TTTTATGTGA 1 Seq110 ( 9) TACAAAGTGG 1 Seq94 ( 12) AATAGAGTGG 1 Seq11 ( 11) CTATTGGAGG 1 Seq7 ( 13) AATTGAGTGA 1 Seq124 ( 11) AATTCTGTGA 1 Seq123 ( 12) AAAAGAGTGA 1 Seq118 ( 10) CCTCCGGAGT 1 Seq103 ( 13) ATTTTAGTGG 1 Seq35 ( 7) TATAAGGAGT 1 Seq20 ( 8) AAATTGGAGG 1 Seq77 ( 13) ATAAGGGAGT 1 Seq72 ( 13) ATGTTAGTGA 1 Seq56 ( 13) ATAATTGTGA 1 Seq88 ( 12) GAAGAGGTGT 1 Seq65 ( 8) CCTTAAGAGA 1 Seq83 ( 10) TATTGGCTGG 1 Seq64 ( 13) TAAGAAGTGC 1 Seq107 ( 11) GTAAAGGCGA 1 Seq13 ( 9) TATAAAGAGG 1 Seq90 ( 7) AACTAAGGGA 1 Seq82 ( 10) TTTTGAGGGA 1 Seq108 ( 12) TTTTCTGGGA 1 Seq97 ( 10) AATTGAGAGG 1 Seq79 ( 12) GAAACTGTGA 1 Seq62 ( 8) ATAGATGAGG 1 Seq122 ( 16) AGGGAGGAGT 1 Seq37 ( 11) AAGATAGGGA 1 Seq41 ( 16) TATAATGGGT 1 // -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Motif WWWWAGGTGA MEME-1 position-specific scoring matrix -------------------------------------------------------------------------------- log-odds matrix: alength= 4 w= 10 n= 2000 bayes= 4.67385 E= 9.4e-072 28 40 -236 26 -2 93 -210 47 -14 23 -43 36 21 -77 -16 -11 39 40 -16 -81 -169 -1356 193 -239 -1356 -277 222 -1356 -137 -277 -151 131 -1356 -1356 224 -1356 57 -118 12 -150 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Motif WWWWAGGTGA MEME-1 position-specific probability matrix -------------------------------------------------------------------------------- letter-probability matrix: alength= 4 w= 10 nsites= 121 E= 9.4e-072 0.520661 0.074380 0.041322 0.363636 0.421488 0.107438 0.049587 0.421488 0.388430 0.066116 0.157025 0.388430 0.495868 0.033058 0.190083 0.280992 0.561983 0.074380 0.190083 0.173554 0.132231 0.000000 0.809917 0.057851 0.000000 0.008264 0.991736 0.000000 0.165289 0.008264 0.074380 0.752066 0.000000 0.000000 1.000000 0.000000 0.636364 0.024793 0.231405 0.107438 -------------------------------------------------------------------------------- -------------------------------------------------------------------------------- Motif WWWWAGGTGA MEME-1 regular expression -------------------------------------------------------------------------------- [AT][AT][AT][AT]AGGTG[AG] -------------------------------------------------------------------------------- Time 1.00 secs. ******************************************************************************** ******************************************************************************** SUMMARY OF MOTIFS ******************************************************************************** -------------------------------------------------------------------------------- Combined block diagrams: non-overlapping sites with p-value < 0.0001 -------------------------------------------------------------------------------- SEQUENCE NAME COMBINED P-VALUE MOTIF DIAGRAM ------------- ---------------- ------------- Seq1 2.28e-02 25 Seq2 1.44e-02 25 Seq3 4.57e-02 25 Seq4 5.71e-03 25 Seq5 6.36e-04 9_[+1(3.97e-05)]_6 Seq6 8.80e-03 25 Seq7 9.18e-02 25 Seq8 2.84e-02 25 Seq9 5.78e-02 25 Seq10 4.11e-02 25 Seq11 9.18e-02 25 Seq12 7.03e-02 25 Seq13 2.24e-01 25 Seq14 5.71e-03 25 Seq15 1.03e-02 25 Seq16 5.71e-03 25 Seq17 1.03e-02 25 Seq18 2.08e-03 25 Seq19 2.10e-02 25 Seq20 1.15e-01 25 Seq21 1.03e-02 25 Seq22 6.36e-04 11_[+1(3.97e-05)]_4 Seq23 2.10e-02 25 Seq24 5.14e-02 25 Seq25 1.03e-02 25 Seq26 7.03e-02 25 Seq27 2.08e-03 25 Seq28 7.03e-02 25 Seq29 2.79e-03 25 Seq30 6.98e-03 25 Seq31 6.16e-05 11_[+1(3.85e-06)]_4 Seq32 4.17e-04 10_[+1(2.61e-05)]_5 Seq33 2.10e-02 25 Seq34 7.43e-01 25 Seq35 1.15e-01 25 Seq36 3.17e-02 25 Seq37 3.45e-01 25 Seq38 1.94e-02 25 Seq39 2.54e-02 25 Seq40 1.03e-02 25 Seq41 4.06e-01 25 Seq42 4.17e-04 12_[+1(2.61e-05)]_3 Seq43 1.31e-02 25 Seq44 2.79e-03 25 Seq45 4.17e-03 25 Seq46 2.54e-02 25 Seq47 4.17e-04 12_[+1(2.61e-05)]_3 Seq48 2.28e-02 25 Seq49 1.31e-02 25 Seq50 5.71e-03 25 Seq51 3.60e-02 25 Seq52 2.08e-03 25 Seq53 3.17e-02 25 Seq54 5.14e-02 25 Seq55 4.17e-03 25 Seq56 1.39e-01 25 Seq57 1.57e-02 25 Seq58 2.28e-02 25 Seq59 3.17e-02 25 Seq60 5.78e-02 25 Seq61 7.69e-01 25 Seq62 2.89e-01 25 Seq63 1.44e-02 25 Seq64 1.90e-01 25 Seq65 1.55e-01 25 Seq66 1.31e-02 25 Seq67 6.36e-04 11_[+1(3.97e-05)]_4 Seq68 1.67e-02 25 Seq69 4.17e-03 25 Seq70 2.08e-03 25 Seq71 1.57e-02 25 Seq72 1.39e-01 25 Seq73 7.74e-02 25 Seq74 6.36e-04 11_[+1(3.97e-05)]_4 Seq75 1.23e-04 9_[+1(7.71e-06)]_6 Seq76 5.71e-03 25 Seq77 1.31e-01 25 Seq78 8.80e-03 25 Seq79 2.76e-01 25 Seq80 1.18e-02 25 Seq81 4.17e-03 25 Seq82 2.37e-01 25 Seq83 1.90e-01 25 Seq84 4.17e-03 25 Seq85 1.57e-02 25 Seq86 1.44e-02 25 Seq87 6.36e-04 10_[+1(3.97e-05)]_5 Seq88 1.47e-01 25 Seq89 1.12e-03 10_[+1(6.99e-05)]_5 Seq90 2.37e-01 25 Seq91 1.12e-03 11_[+1(6.99e-05)]_4 Seq92 2.08e-03 25 Seq93 9.82e-01 25 Seq94 9.18e-02 25 Seq95 5.14e-02 25 Seq96 4.17e-03 25 Seq97 2.76e-01 25 Seq98 4.11e-02 25 Seq99 3.60e-02 25 Seq100 9.71e-01 25 Seq101 7.03e-02 25 Seq102 1.67e-02 25 Seq103 1.15e-01 25 Seq104 3.17e-02 25 Seq105 7.74e-02 25 Seq106 1.18e-02 25 Seq107 2.24e-01 25 Seq108 2.50e-01 25 Seq109 3.17e-02 25 Seq110 8.45e-02 25 Seq111 8.45e-02 25 Seq112 1.12e-03 11_[+1(6.99e-05)]_4 Seq113 5.78e-02 25 Seq114 1.18e-02 25 Seq115 1.23e-04 10_[+1(7.71e-06)]_5 Seq116 2.08e-03 25 Seq117 3.60e-02 25 Seq118 1.08e-01 25 Seq119 2.10e-02 25 Seq120 1.03e-02 25 Seq121 4.17e-03 25 Seq122 2.37e-01 25 Seq123 9.95e-02 25 Seq124 9.95e-02 25 Seq125 8.45e-02 25 -------------------------------------------------------------------------------- ******************************************************************************** ******************************************************************************** Stopped because requested number of motifs (1) found. ******************************************************************************** CPU: kodomo ********************************************************************************