>dataset yst01g >instances 0,-702,GCGTGCTTGTGTAG 6,-427,CTTCACAACCACTG 7,-257,GTGTGGGTGTGAGG 7,-588,ACGCACAATCACTC 3,-195,GTGTGTTTGTGTAT 8,-749,CTGCAAGAACACCC 4,-437,CGACAAAAACACTG 1,-284,GTGGGATCGTGAAG 8,-406,ATACACAACCACTG 7,-808,CACCAAACACACAC 5,-470,CATCACAATCACAT 4,-711,CTTCAAAAAAACTC 3,-26,CCCAACAAACCCCC The above motif has the most significant group specificity score (1.28E-10) but only a moderate MAP score (6). We are thus less confident about this prediction. >dataset yst02g >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset yst03m >instances 0,-403,TTAGGTACTGCT 2,-377,TTATGAGCTGCA 3,-294,TGTGGTGCTGTT 3,-224,TTGGGGGCTGGA 4,-244,AGCAGCTCCCAA 4,-177,TGAGGAGCTGCT 6,-181,TTGGGAGTTGCT 7,-407,TTTTGCACTGCT 7,-269,TTGTGGACTGCA The above motif has the most significant group specificity score (8.55E-11) but only a moderate MAP score (6.5). We are thus less confident about this prediction. >dataset yst04r >instances 0,-641,CGCGAATCCT 0,-361,TGGAATGGCG 1,-339,CTGGCATCCA 2,-652,CGGGATTCCT 2,-189,CGGCCTTCCT 3,-487,CGAGCTTCCA 3,-229,CGTGATTCCT 4,-920,CTTGATTCCA 4,-476,TGGAATCCCG 4,-458,CTGGCATCCA 5,-642,CGGGCTTCCA 5,-595,CGGGATTCCT The above motif has the most significant group specificity score (4.19E-9) and a high MAP score (12). >dataset yst05r >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset yst06g >instances We didn't find any significant motif. >dataset yst07m >instances 0,-323,GTCTTCGCGT 0,-78,TGCTTCGGGT 2,-121,ACGGGAAGAA 3,-166,TGCTTCCGGT 4,-489,TGCTTCGGGT 4,-113,TTCTTCGGAT 4,-99,TTCTTCCGGT 5,-326,GCCGGAAGAA The above motif has both the most significant MAP (8.52E-10) and group specificity (12) scores. >dataset yst08r >instances first motif: 0,-468,CACCCAAACAC 0,-20,CACACAAACAC 2,-797,GCGACTGGGTG 2,-633,CACCCATACCT 3,-653,CACCCAGACAT 4,-786,GGGCATGGGCG 4,-614,CACACAAACAC 4,-453,CACCCACGCGC 4,-422,CGCACACGCCC 4,-409,CACCCAGACCT 4,-388,GGGCATGGGTA 4,-175,GTGTTTGCGCG 6,-446,CACCCAATCCC 6,-424,CCCCCACACAC 6,-333,CACCCAAGCAC 7,-900,CACCCAAACAT 7,-436,CACCCACACAT 7,-420,CACCCAGACCG 8,-910,GGGTATGGGGT 8,-416,CACCCAATCAC 8,-72,CACGCATACAT 9,-473,AACCCAGACAC 1,-431,ACACCGCACGCC 1,-325,TGGTTGTATTGA 1,-40,TCATAACACCAA 2,-639,ACACTGCACCCA 2,-479,TTCGTGTGATGA 3,-581,GGCGTGTGATGT 3,-383,TGAGTGCTTTGT 3,-324,TGCTTGTGATGT 3,-37,ACAAGACACCAA 4,-932,TGCTTGTTTTGT 4,-459,AGACCACACCCA 4,-383,TGGGTACAATGT 5,-636,TGGTTGTAATGT 6,-452,ACATCACACCCA 6,-339,TCAAAACACCCA 8,-904,GGGGTATACTGT 8,-826,TGGTTGTGATGT 8,-422,ACAAAGCACCCA 8,-87,CCATTACACGCA The above two motifs both have high MAP (28 and 12) and group specificity scores (2.96E-7 and 8.72E-7). >dataset yst09g >instances 2,-545,AGCCGTGGACG 2,-156,AGCCGCCGACA 4,-249,AGCCGCGCAAG 6,-734,CTTGGGCGGCT 8,-983,CATCAGCGGCA 9,-598,CCTGCGCGGCT 10,-611,AGCCGCCAAAA 11,-483,AGCCGCCGGAG 12,-244,AGCCGCCGAAA 14,-552,CCTGCGCAGCT 14,-248,CATCGGCGGCA 15,-447,AGCCGCCGACG 15,-305,CTTCGGTGGCA The above motif has both high MAP (11) and group specificity (2.17E-8) scores. >dataset yst10m >instances 0,-880,CTTAAAAAAGACATCT 0,-772,CTTACAAATGATGTTT 0,-743,ACACTTCTGCTTTTCG 0,-529,CTAATAGATGAAATCT 1,-886,GATATAAAAGATGTGC 1,-116,CGGAAAGAAGATCTAT 2,-825,CAAAAAAAAGAACTCC 3,-734,AAACATCTTCTGTTGG 3,-472,GTTATAGAAGAATTAC 4,-987,CCAAGAGAAGAGATTT 4,-326,CTTATAGAAGAGGTCC The above motif has the most significant group specificity score (5.02E-7) but only a moderate MAP score (7.3). We are thus less confident about this prediction, especially with the small input set. >dataset dm01g >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset dm02r >instances The input set is too small to generate motifs with significant scores. >dataset dm03m >instances 0,-1691,TTTCCGGCTGC 0,-1352,ATTGCCTTAAA 0,-608,TTGAAGGCAGC 0,-312,TTTAAGGAAGC 0,-35,TTTAAGGCTGC 1,-1983,TTTAACGCAGC 1,-162,TTAAAGGAGGC 2,-1974,GTGGCCTTAAA 2,-1364,GTCGCCTTAAA 2,-47,GCGGCCTGAAA The above motif has the most significant group specificity score (3.00E-4) and moderate MAP score (5.8). We are less confident about this prediction. >dataset dm04g >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset dm05g >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset dm06r >instances The input set is too small to generate motifs with significant scores. >dataset dm07m >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset dm08m >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset mus01r >instances 0,-456,GCTTTTCCTCAGT 0,-399,GCTATTCTTCCAT 0,-288,AGCTAAGAATAGC 0,-217,AAGAAAGAATAGG 0,-168,GCTATTCTTAGAT 2,-310,AGCTAAGAAAAGC The above motif has the most significant MAP score (11) and a moderate group specificity score (6.61E-5). >dataset mus02r >instances We didn't find any significant motif. >dataset mus03g >instances 0,-455,ACAGTGCCCAGGCCGT 0,-140,GTGTTGCCCAGGCAGT 0,-123,ACTACCTGGAAAAGCT 1,-370,GGTTTTCCCAGCAGAT 1,-83,AATTTTCCCAGCTTAT 2,-130,ATTTTGCGCAAGACAT 2,-118,ACATTTCCCAAGTCCT 2,-88,ACAGCTTGGATAAGCT 3,-304,ACCTTCCCCAGCTTCT 3,-211,AGTTTGCCCAGGACAG The above motif has the most significant MAP score (6.44E-7) and a relatively high MAP score (9.6). Given the small size of the input set, we are less confident about this prediction. >dataset mus04m >instances 0,-755,AGGAAGGGCGG 0,-414,CAGCTAATCCT 1,-850,CACCCCATCCT 1,-769,CCACTCACCCC 1,-570,AGGCTGAGTGG 1,-101,CCCCCAAACCC 2,-878,AGGCTTGGTTG 3,-987,GGGATGAGCGG 3,-78,GGGCTGGGCGG 4,-641,AGGATGAGCTG 5,-526,AGGCTGAGCGG 5,-289,CCACTCAACCT 6,-354,AGGGTTGGCTG 6,-38,CCGCCCACCCT The above motif has both relatively high MAP (9.8) and group specificity (5.74E-7) scores. >dataset mus05r >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset mus06g >instances 0,-379,AGGTCAGACA 0,-148,GCGACAGAGA 0,-107,GGGTCAGACC 1,-491,AGGACAGTGA 1,-326,TCTCTGTCCT 1,-260,GGAACAGACC 1,-225,GGGACAGACC 2,-182,GCGACAGACC 2,-106,TCTCTGTCCC The above motif has the most significant MAP score (11) but only a moderate group specificity score (1.19E-4). We are thus less confident about this prediction. >dataset mus07g >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset mus08m >instances 0,-984,CTGCTCCAATATA 0,-824,TATATGGGCGAAG 0,-499,CTGCTACCATTTT 1,-1251,AATATTGCTGGAG 1,-850,AATAAGGTGGCAG 1,-628,CATCGCCAATATA 1,-499,TAAATTGAAGTAG 2,-1430,CTCTGGCAATATA 2,-895,CTGCAGCAATATA 2,-763,CTTCCTCAAAATT The above motif has the most significant group specificity score (5.98E-5) and a moderate MAP score (6.3). We are less confident about this prediction. >dataset mus09r >instances The input set is too small to generate motifs with significant scores. >dataset mus10g >instances 1,-740,TCTTTTCTTT 2,-851,GAAGAAAAGA 3,-984,GAAGAAAAGA 3,-897,GGAGAAAAGT 3,-887,GAAGAAAGGA 3,-296,GGAGACAAGA 5,-976,TCTTTTATCC 5,-49,TCTTGTCTCC 6,-75,CCTTTTCTTC 7,-818,TCTTTTCTTC 7,-288,AAAGAAAAGA 9,-817,TCTTTTCTCC 9,-20,CCTTTTCTCC 10,-787,GGAGAGAAGA 12,-997,GGATAAAAGA 12,-949,GAAGAAAAAA 12,-452,TCCTTTCTCC 12,-377,GAAGACAGGA The above motif has high MAP (22) and group specificity (2.67E-6) scores. >dataset mus11m >instances 0,-80,GAGAGCCCCA 1,-358,GAGGGGCACC 2,-48,TGTGGCCATC 3,-221,GTGGGGCCCC 3,-115,GAGAGGCCCA 4,-364,GAGGGGCCCT 4,-326,GGGGGCCCTC 4,-63,GGTGGCCATC 6,-205,GAGGACCCCA 7,-388,GACGGCCCCC 8,-45,GGGGGCCGTC 9,-243,GAGAGGCCCA 10,-497,TGGGCTCCTC 10,-309,GATGGGCCCA 10,-269,GAGGGGCACC 10,-174,GAGGAGCCCA 10,-73,GTGGGGCCCC The above motif has the most significant group specificity score (9.35E-11) and a high MAP score (11). >dataset mus12m >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset hm01g >instances We didn't find any significant motif. >dataset hm02r >instances 0,-593,CCCAGGACAC 0,-383,CCCAGCACAC 0,-272,GCCAGGACAC 0,-183,GTGGTCTGGG 0,-83,CCCAGCACAC 0,-38,CTCAGCACAG 1,-564,GTGGGCTGAG 2,-880,GTGTTTTGAG 3,-541,CTCAGCACAG 3,-181,CCCAAAACAC 4,-826,GTGTTCTGAG 4,-431,CCCAACACAC 6,-937,CCCAGCACAC 6,-896,GTGTGCTGAT 7,-291,CCCAGCACCC 7,-183,GTGTGCAGAG 7,-103,GTGTGCAGGC 8,-838,GGGTGCTGGG 8,-599,GCCAGCACAC The above motif has the most significant group specificity score (7.92E-8) and a high MAP score (16). >dataset hm03r >instances 0,-1243,TGTGGATAAAAGA 0,-522,GGTGGAGCAAAAA 0,-93,TGTGGCTTAAAGA 1,-1166,TGTGGATAAAAGA 1,-89,TGTGGCTTAAAGA 2,-371,TGTGGATTCAAAA 2,-89,TGTGGCTTAAAAA 3,-184,TGTGGAGAAAACA 4,-462,TGTGGGTGCAAAT 5,-732,TTTTTTCACCACC 5,-273,AGTGGGTCCAACA 6,-234,TGTGGGTCATAGA 7,-1149,TTTGGCTGCAACA 7,-465,TGTGGTTACTAAA The above motif has the most significant group specificity score (3.35E-7) and a high MAP score (12). >dataset hm04m >instances 1,-519,AAAAATCCCGC 2,-85,GCGGGCTTTTT 3,-672,AAAATTCCCCC 3,-334,AAAATTCCAGC 4,-1633,GCTGGCGTTTT 4,-1228,AAAAAACCCGC 6,-741,GCGGGAGATTT 7,-1791,GCGGGTGTTTA 7,-1478,TAAAGTCCACC 7,-878,AAAATTCCCCC 8,-1132,AAAATTCCAGC 8,-611,TAAACTCCCGC 9,-321,GCCGGAATTTT 11,-1993,AAAACTCCCCC 12,-1007,AAAAATCCCGC The above motif has the most significant group specificity score (5.89E-13) but only a moderate MAP score (6.7). We are thus less confident about this prediction. >dataset hm05r >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset hm06g >instances We didn't find any significant motif. >dataset hm07m >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset hm08m >instances 3,-240,ATGACGTCAA 6,-143,TTGACGTCAT 8,-98,GTGACATCAA 10,-114,ATGACATCAC 11,-81,GTGACGTCAC 5,-182,GTGACGTCAC 6,-125,TTGACGTCAG 4,-182,ATGACGTCCA 13,-405,ATGACAGCAA 6,-105,TTGATGTCCT 4,-271,ATGAGATCAC The above motif has both high MAP (9.2) and group specificity (2.16E-9) scores. >dataset hm09g >instances We didn't find any significant motif. >dataset hm10m >instances 0,-447,CTTCTATTTTTT 0,-371,AGAAAAGGAGTG 0,-304,CCTCCCTTCTCC 0,-76,AAAAAATGGCTC 1,-381,CGCCCCTTCTCC 1,-205,AGAAAAGGGGTT 2,-396,CTCCCCTTCTTT 2,-329,CCCCCATTCTCT 3,-206,AGTAAAGGGCAG 3,-177,AGAAAAAAGCGG 3,-136,AGAGAAGAGCCC 4,-90,CTTCTCTTCTCT 4,-44,CGGCCTTTTTCC 5,-239,CGTCCATTTTCC 5,-119,CGGCCATTTATT 5,-93,GGAAAAGAGGGG The above motif has the most significant MAP score (16) but only a moderate group specificity score (1.62E-6). We are thus less confident about this prediction. >dataset hm11g >instances We didn't find any significant motif. >dataset hm12r >instances The input set is too small to generate motifs with significant scores. >dataset hm13r >instances We didn't find any significant motif. >dataset hm14r >instances The input set is too small to generate motifs with significant scores. >dataset hm15r >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset hm16g >instances We didn't find any significant motif. >dataset hm17g >instances 0,-78,GGGAATTTCC 1,-78,GGGAATTTCC 2,-80,GGGAATTTCC 3,-169,GGAAATTCCG 4,-261,GGAGATTCCT 4,-138,GGAAATTCCC 6,-269,GGGAATCTCC 7,-74,GGGATTTTCC 8,-81,GGGAATTTCC 9,-135,GGGGATTTCC The above motif has the most significant group specificity score (6.97E-11) and a high MAP score (25). >dataset hm18m >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset hm19g >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset hm20r >instances first motif: 0,-1556,AGACAGAACTG 2,-1767,CATCGCTGGGT 3,-1034,CAGTTCTGTCT 4,-1330,AGCCAGGAATG 5,-895,CAGCTCTGGCT 7,-671,ACCCAGGACTG 7,-454,CATCCCTGGGT 11,-1252,AGCCAGAAATG 14,-349,CAGCACTGGCT 14,-67,AGCCAGAACTG 16,-1071,CAGCACTGTGT 17,-1960,ACCCAGGACTG 17,-483,CATTGCTGTGT 20,-732,CAGCCCTGGCT 20,-558,AGACAGCACTG 25,-1519,CATTACTGGGT 26,-1058,AGACAGGAATG 28,-1135,CATTTCTGTGT 28,-331,CAGTGCTGTGT 30,-969,ACCCAGGACTG 31,-474,CAGCCCTGGGT 34,-489,CAGCGCTGGGT second motif: 4,-1780,CTGTCTCTGAG 4,-1613,CTGTGTCTGAG 5,-1831,GACAGACACAG 7,-240,GACAGACCCAA 11,-1257,CACAGAGCCAG 13,-1323,CTGTGTCTGTC 15,-1699,CTGGCTCTGTG 15,-1578,CACAGACACAA 15,-903,GACAGATCCAG 16,-1079,GTCAGAAACAG 17,-647,TTGTTTCTGAC 17,-580,GACAGAAACAG 18,-1983,TTGTATCTGAC 19,-74,CACAGAAACAG 20,-931,GACAGAACCAG 21,-489,GTCAGAGACAG 28,-1130,CTGTGTCTGTC 31,-1782,CTGGGTCTGAG 32,-1262,TTGGATCTGTC 32,-1015,CACAGACCCAA 34,-512,GACAGATCCAG The above two motifs both have high MAP (10 and 9.8) and group specificity scores (3.55E-9 and 1.07E-8). >dataset hm21g >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset hm22m >instances We didn't find any significant motif. >dataset hm23r >instances We didn't find any significant motif. This is probably due to the small size of the input set. >dataset hm24m >instances first motif: 2,-200,AGCCTTCTCA 2,-417,AGACTTCTCA 4,-198,GGAGACGGCT 3,-357,AGACGTCTCC 0,-132,TGAGAAGTCC 6,-293,GGACTTCTCA 2,-298,AGCCTGCTCC 4,-353,CGAGAAGGCT 1,-25,TGAGACGGCC 5,-205,GGAGCCGGCT 3,-345,AGACTTATCC 0,-83,AGCCTTCTGC 6,-65,GGAGACGTCG 4,-217,TGAGACGGTT 5,-59,TGAGCAGGCG 7,-153,GGAGCCGTTT second motif: 3,-90,GCGCGAAATG 4,-435,CTGCGTAAAG 4,-389,GTCCGAAAAA 4,-342,GTGCGAAAAA 5,-37,TATTTCGCGG 5,-14,GCGCGTAATG 6,-84,CTGCGAAAAG 6,-52,CTTTTCGCGC 7,-361,GTGCGGAAAG 7,-284,CCCCGAAAAG 7,-269,TCGCGTAAAG 7,-98,TATTTCGGGC 7,-51,CTTTTCCCGC The above two motifs both have (relatively) high MAP (12 and 7.9) and group specificity (9.49E-9 and 1.77E-7) scores. >dataset hm25g >instances The input set is too small to generate motifs with significant scores. >dataset hm26m >instances 2,-133,CCTTGGGAAGCCC 5,-433,GGGCTTCCCAGGG 1,-423,GGGCTTCCTCTGC 6,-717,GGGCTTCCATCGC 8,-761,CGGCTTCCGCCGG 4,-584,GGGCCTCCTGGGG 5,-344,CCTCCGGCAGCCC 6,-178,CCTTTGGAGGCCC 2,-361,CCCACGGCAGCCC 2,-399,CTCCAGGAAGCCC 3,-910,CGGCTTCCTTAGC 1,-823,GCGACGGCAGCCC 2,-425,GGGCCTCCGCCGC 1,-926,CGGCTGCCGTCGG 5,-835,CGGCCTCCGCAGG 0,-820,GAGCTTCCGCTGG 3,-875,CGGCTTCGGCGGG 8,-241,CCAGCCGCAGCCC 1,-83,CTTCTCGAAGCCC 7,-166,GGGCCTCCGCTAC 1,-640,CCCCAGGAGGCTG The above motif has high MAP (21) and group specificity (3.07E-7) scores.