示例#1
0
 def test005_findBestCandidateTar2(self):
     from dnaSequencing import findBestCandidate
     tar2 = 'CATTATTATGAGGTTTCCCTCCCTAAACTT'
     can2 = [
         'CCACGGGAATCCATAGTCAGAAATAGTATC', 'ACGACCGTTAACCACATTACCCCGTGGTCG',
         'ACCCCTAGCCGGCCGATAGAGTGTAAGGAT', 'CGTCGACAGACCACGTTATTTCATTCGGCG',
         'CCCTAGCCGGCCGATAGAGTGTAAGGATAG', 'TATGAACTTCGGCGGGTACATATGGACTAT',
         'AGTCAGTGTAAGGTTAACTCCGCATTAGAA', 'AGGCTATGCGCAAGAAAAGCCATACTTCTT',
         'CTGTCTTCGCCGGGCTCTATTACGGTCGCT', 'AGGGCCTGGAGACAGTCAGTGTAAGGTTAA',
         'AACGGAGACGCTTTGCCGTACGACTGACCC', 'CACGGTTATGGCTTCTAGCGGTCTTCACCC',
         'AGGCGTCCCTCCTTAGAGGCCAGGTGTCCG', 'GTTTGCGTCTGGAGGATGAAGCACTATACG',
         'CTGTGTATGAACTTCGGCGGGTACATATGG', 'CGGTCTTCACCCCCCCAGGCAAGTAGCTTC',
         'TAATGTCCATGGTGATACCCCTAGCCGGCC', 'CACCCCCCCAGGCAAGTAGCTTCACGCTGA',
         'GCGTTTCAGAGCATTAATCGGGGGCCGTGT', 'CCCGACACCGGCCTTGCAGGCTATGCGCAA',
         'GACCCCAAGGGGCGATATTGCACGACCGTT', 'TCGAGCGATAATTGGTGTTCGTTACAGCGT',
         'GGATAGCAGACCCCCACCTTCGTAAAACAA', 'CCCTCCTTAGAGGCCAGGTGTCCGAACTTC',
         'TCAGAAATAGTATCACTCCTTATTCCGACT', 'CCCGTGTTAGGCGTCCCTCCTTAGAGGCCA',
         'GTCTCTTGCGCTTAAATAATCCAGCATCGC', 'CTCCCGTCGACAGACCACGTTATTTCATTC',
         'CAGACCACGTTATTTCATTCGGCGTTTCTC', 'TAGTATCACTCCTTATTCCGACTCAGAAAG',
         'CGGACGACCTCTAGGATGTACTACCCTACT', 'ACCGAGAACCGCGGTTATAATTTCACATTA',
         'CAGTGTAAGGTTAACTCCGCATTAGAAGCC', 'ATGGCTTCTAGCGGTCTTCACCCCCCCAGG',
         'CGAGAACCGCGGTTATAATTTCACATTATT', 'GCATCGCCTAGCAAAGCAGCTTACGTTCAG',
         'CAAATCTCACTAATGTCCATGGTGATACCC', 'GGGAATCCATAGTCAGAAATAGTATCACTC',
         'GTTTGCGTCTGGAGGATGAAGCACTATACG'
     ]
     self.assertTupleEqual(findBestCandidate(tar2, can2),
                           ('TATGAACTTCGGCGGGTACATATGGACTAT', 1))
示例#2
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 def test003_findBestCandidateTar0(self):
     from dnaSequencing import findBestCandidate
     tar0 = 'TTATAGTGATATACGTGCTTAGGTAGTGCAGAGACACAACTTATAGAGTGAGGCCAGCTCACGAGCTCTAGAAGCCCAAA'
     can0 = [
         'TATTGTGCTCTATAGCTCCAGGCACATCCCTTGACGGATTGGGGACTGTCTTGACGAAAGTTCGGAGGTAGAAAAGTCCA',
         'GACGACACCCTGGCAAAGGTCACGTCATGGGTGGAGTACTTATACCGGCAGCAGAGCGATCTGCTACCTATCTTCATGAT',
         'CACGAGCTCTAGAAGCCCAAACTGTGACGCAATTGCCGGGCTAAAACTATGCTAAGAAATCCCCATTACCAGAGTCTTAG',
         'TGAGCCGTTGGGCAGTTAACGGATTTTACTCGTCGCTGCCTGAAGTGCCAAATTTACCAAAAACCGGATAACTTCATGCA',
         'CTTATAGAGTGAGGCCAGCTCACGAGCTCTAGAAGCCCAAATTGCTACTGTGCCGCTGCGCACCGCATGATCGCAGTCAG',
         'TTAGAGGAATTGGACGGCACTCGGACACAAGCTCACGCCCCATACTTTAGCACCGAATATCGACTAAGCATAGTTGATCT',
         'AGCAAGAGTTGGTATCTCTAGGGGCTTCTCCGGACGCAACGACGCGTCTGACAGTTCAGGTTGTTATGACCCGGGTGTGA',
         'CTATGGTTAGGCAACTTCCACGCTATCCCTCGACCACGGCTCGTGGAGCCGTACCGGTGTATTTTGTTGCTGCTAATATT',
         'GTAGCACGCAGTTCGAGTCACCCGGAAGCAGCGAAACGTTCGGCAACTACAAACTCCAATCTTGTATTCGGGTGCCTTTT',
         'CGATTGTCTGTGTTCTGCATGAGCACAATAAGTACAAGTCGAACTGGTATTTACTAAAGTCCGCATATTGTACGGTACGT'
     ]
     self.assertTupleEqual(findBestCandidate(tar0, can0), (
         'CTTATAGAGTGAGGCCAGCTCACGAGCTCTAGAAGCCCAAATTGCTACTGTGCCGCTGCGCACCGCATGATCGCAGTCAG',
         41))
示例#3
0
 def test004_findBestCandidateTar1(self):
     from dnaSequencing import findBestCandidate
     tar1 = 'GTCGCGTTCAGGCGCATTAAGTTAGTCGGA'
     can1 = [
         'TCAGGCGCATTAAGTTAGTCGGAGCACACG', 'TGCTCTGGTCGCGTTCAGGCGCATTAAGTT',
         'GCGCATTAAGTTAGTCGGAGCACACGATAG', 'GATGGGATTCCACTGCTCTGGTCGCGTTCA',
         'AGATGGGATTCCACTGCTCTGGTCGCGTTC', 'CGTTCAGGCGCATTAAGTTAGTCGGAGCAC',
         'CTAAGATGGGATTCCACTGCTCTGGTCGCG', 'TACATGAAGCGCTACGTCTTATTGCGCTGG',
         'TCGGAGCACACGATAGTGTACATGAAGCGC', 'TCGCGTTCAGGCGCATTAAGTTAGTCGGAG',
         'ACGATAGTGTACATGAAGCGCTACGTCTTA', 'GATGGGATTCCACTGCTCTGGTCGCGTTCA',
         'TTCAGGCGCATTAAGTTAGTCGGAGCACAC', 'AGTTAGTCGGAGCACACGATAGTGTACATG',
         'TCGGAGCACACGATAGTGTACATGAAGCGC', 'TAGTGTACATGAAGCGCTACGTCTTATTGC',
         'GATTCCACTGCTCTGGTCGCGTTCAGGCGC', 'TGTACATGAAGCGCTACGTCTTATTGCGCT',
         'TGCTCTGGTCGCGTTCAGGCGCATTAAGTT', 'TTAGTCGGAGCACACGATAGTGTACATGAA',
         'TACATGAAGCGCTACGTCTTATTGCGCTGG', 'GATTCCACTGCTCTGGTCGCGTTCAGGCGC',
         'AGTCGGAGCACACGATAGTGTACATGAAGC', 'TAGTGTACATGAAGCGCTACGTCTTATTGC',
         'CACTAAGATGGGATTCCACTGCTCTGGTCG', 'GATAGTGTACATGAAGCGCTACGTCTTATT',
         'TGGTCGCGTTCAGGCGCATTAAGTTAGTCG', 'AAGTTAGTCGGAGCACACGATAGTGTACAT',
         'AGTGTACATGAAGCGCTACGTCTTATTGCG', 'AAGATGGGATTCCACTGCTCTGGTCGCGTT',
         'GGCGCATTAAGTTAGTCGGAGCACACGATA', 'AAGATGGGATTCCACTGCTCTGGTCGCGTT',
         'ACACGATAGTGTACATGAAGCGCTACGTCT', 'CACTAAGATGGGATTCCACTGCTCTGGTCG',
         'AAGTTAGTCGGAGCACACGATAGTGTACAT', 'GTTCAGGCGCATTAAGTTAGTCGGAGCACA',
         'CTGCTCTGGTCGCGTTCAGGCGCATTAAGT', 'GGGATTCCACTGCTCTGGTCGCGTTCAGGC',
         'GTCGGAGCACACGATAGTGTACATGAAGCG', 'GGAGCACACGATAGTGTACATGAAGCGCTA',
         'ACTAAGATGGGATTCCACTGCTCTGGTCGC', 'GATAGTGTACATGAAGCGCTACGTCTTATT',
         'CATTAAGTTAGTCGGAGCACACGATAGTGT', 'GATGGGATTCCACTGCTCTGGTCGCGTTCA',
         'AGTGTACATGAAGCGCTACGTCTTATTGCG', 'TCGGAGCACACGATAGTGTACATGAAGCGC',
         'ACACGATAGTGTACATGAAGCGCTACGTCT', 'ACTGCTCTGGTCGCGTTCAGGCGCATTAAG',
         'ACGATAGTGTACATGAAGCGCTACGTCTTA', 'GCACACGATAGTGTACATGAAGCGCTACGT',
         'GATAGTGTACATGAAGCGCTACGTCTTATT', 'TCGCGTTCAGGCGCATTAAGTTAGTCGGAG',
         'CTGCTCTGGTCGCGTTCAGGCGCATTAAGT', 'GTACATGAAGCGCTACGTCTTATTGCGCTG',
         'ATTAAGTTAGTCGGAGCACACGATAGTGTA', 'CACACGATAGTGTACATGAAGCGCTACGTC',
         'GGGATTCCACTGCTCTGGTCGCGTTCAGGC', 'TGCTCTGGTCGCGTTCAGGCGCATTAAGTT',
         'TCTGGTCGCGTTCAGGCGCATTAAGTTAGT', 'AGATGGGATTCCACTGCTCTGGTCGCGTTC',
         'ATAGTGTACATGAAGCGCTACGTCTTATTG', 'AGGCGCATTAAGTTAGTCGGAGCACACGAT',
         'ACGATAGTGTACATGAAGCGCTACGTCTTA', 'AGGCGCATTAAGTTAGTCGGAGCACACGAT',
         'TCAGGCGCATTAAGTTAGTCGGAGCACACG', 'CGCGTTCAGGCGCATTAAGTTAGTCGGAGC',
         'GGATTCCACTGCTCTGGTCGCGTTCAGGCG', 'TGGGATTCCACTGCTCTGGTCGCGTTCAGG',
         'TAAGATGGGATTCCACTGCTCTGGTCGCGT', 'ACGATAGTGTACATGAAGCGCTACGTCTTA',
         'GAGCACACGATAGTGTACATGAAGCGCTAC', 'ATTCCACTGCTCTGGTCGCGTTCAGGCGCA',
         'GCTCTGGTCGCGTTCAGGCGCATTAAGTTA', 'AGCACACGATAGTGTACATGAAGCGCTACG',
         'GCGTTCAGGCGCATTAAGTTAGTCGGAGCA', 'CGCGTTCAGGCGCATTAAGTTAGTCGGAGC',
         'GTCGGAGCACACGATAGTGTACATGAAGCG', 'GATTCCACTGCTCTGGTCGCGTTCAGGCGC',
         'TAAGATGGGATTCCACTGCTCTGGTCGCGT', 'GATTCCACTGCTCTGGTCGCGTTCAGGCGC',
         'TAGTCGGAGCACACGATAGTGTACATGAAG', 'AAGTTAGTCGGAGCACACGATAGTGTACAT',
         'TCGGAGCACACGATAGTGTACATGAAGCGC', 'ACGATAGTGTACATGAAGCGCTACGTCTTA',
         'TAGTCGGAGCACACGATAGTGTACATGAAG', 'TTAGTCGGAGCACACGATAGTGTACATGAA',
         'CACACGATAGTGTACATGAAGCGCTACGTC', 'GCACACGATAGTGTACATGAAGCGCTACGT',
         'TCGGAGCACACGATAGTGTACATGAAGCGC', 'AGCACACGATAGTGTACATGAAGCGCTACG',
         'ACACGATAGTGTACATGAAGCGCTACGTCT', 'CACACGATAGTGTACATGAAGCGCTACGTC',
         'AGATGGGATTCCACTGCTCTGGTCGCGTTC', 'CGTTCAGGCGCATTAAGTTAGTCGGAGCAC',
         'TAGTGTACATGAAGCGCTACGTCTTATTGC', 'GATGGGATTCCACTGCTCTGGTCGCGTTCA',
         'TAGTCGGAGCACACGATAGTGTACATGAAG', 'TGGTCGCGTTCAGGCGCATTAAGTTAGTCG',
         'AGTCGGAGCACACGATAGTGTACATGAAGC', 'CCACTGCTCTGGTCGCGTTCAGGCGCATTA',
         'CTCTGGTCGCGTTCAGGCGCATTAAGTTAG', 'TGCTCTGGTCGCGTTCAGGCGCATTAAGTT',
         'TGCTCTGGTCGCGTTCAGGCGCATTAAGTT', 'TAAGATGGGATTCCACTGCTCTGGTCGCGT',
         'TGCTCTGGTCGCGTTCAGGCGCATTAAGTT', 'GCATTAAGTTAGTCGGAGCACACGATAGTG',
         'GCGTTCAGGCGCATTAAGTTAGTCGGAGCA', 'ATTCCACTGCTCTGGTCGCGTTCAGGCGCA',
         'GTGTACATGAAGCGCTACGTCTTATTGCGC', 'ATAGTGTACATGAAGCGCTACGTCTTATTG',
         'TAAGATGGGATTCCACTGCTCTGGTCGCGT', 'GTTCAGGCGCATTAAGTTAGTCGGAGCACA',
         'GATTCCACTGCTCTGGTCGCGTTCAGGCGC', 'TAGTGTACATGAAGCGCTACGTCTTATTGC',
         'AGCACACGATAGTGTACATGAAGCGCTACG', 'ATGGGATTCCACTGCTCTGGTCGCGTTCAG',
         'GTTAGTCGGAGCACACGATAGTGTACATGA', 'TAAGTTAGTCGGAGCACACGATAGTGTACA',
         'TGTACATGAAGCGCTACGTCTTATTGCGCT', 'TTAGTCGGAGCACACGATAGTGTACATGAA',
         'GGTCGCGTTCAGGCGCATTAAGTTAGTCGG', 'AGTCGGAGCACACGATAGTGTACATGAAGC',
         'GGTCGCGTTCAGGCGCATTAAGTTAGTCGG', 'GAGCACACGATAGTGTACATGAAGCGCTAC',
         'AGTTAGTCGGAGCACACGATAGTGTACATG', 'ACACGATAGTGTACATGAAGCGCTACGTCT',
         'GCACACGATAGTGTACATGAAGCGCTACGT', 'CTCTGGTCGCGTTCAGGCGCATTAAGTTAG',
         'GCTCTGGTCGCGTTCAGGCGCATTAAGTTA', 'AGTGTACATGAAGCGCTACGTCTTATTGCG',
         'GTTCAGGCGCATTAAGTTAGTCGGAGCACA', 'TCAGGCGCATTAAGTTAGTCGGAGCACACG',
         'GCACTAAGATGGGATTCCACTGCTCTGGTC'
     ]
     self.assertTupleEqual(findBestCandidate(tar1, can1),
                           ('TCGCGTTCAGGCGCATTAAGTTAGTCGGAG', 29))
示例#4
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 def test007_noMatches(self):
     from dnaSequencing import findBestCandidate
     self.assertTupleEqual(findBestCandidate('aaa', ['bbb', 'ccc']),
                           ('', 0))
示例#5
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 def test002_findBestCandidateTarEasy(self):
     from dnaSequencing import findBestCandidate
     tar_easy = 'ABCDEFG'
     can_easy = ['GHHHHHH', 'FGHHHHH', 'EFGHHHH', 'CDEFGHH', 'DEFGHHH']
     self.assertTupleEqual(findBestCandidate(tar_easy, can_easy),
                           ('CDEFGHH', 5))
示例#6
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 def test006_findBestCandidateWithEmptyLines(self):
     from dnaSequencing import findBestCandidate
     tar = 'ABCDEFG'
     can = ['', '', 'EFGHHHH', 'CDEFGHH', 'DEFGHHH']
     self.assertTupleEqual(findBestCandidate(tar, can), ('CDEFGHH', 5))