Exemplo n.º 1
0
  def test_score(self):
    _mirs = utils.load_fasta('tests/input/hsa-miR-30a-3p.fa')
    _mrnas = utils.load_fasta('tests/input/NM_024573.fa')
    obj = miRmap(seq_mrn=_mrnas['NM_024573'],
                 seq_mir=_mirs['hsa-miR-30a-3p'])
    obj.routine()

    self.assertAlmostEqualList(obj._target_scan.tgs_aus,
                               [-0.05019, -0.11319], places=4)
    self.assertAlmostEqualList(obj._target_scan.tgs_pairing3ps,
                               [0.00312, 0.05150], places=4)
    self.assertAlmostEqualList(obj._target_scan.tgs_positions,
                               [-0.01526, -0.03190], places=4)
    self.assertAlmostEqualList(obj._prob_binomial.prob_binomials,
                               [0.07013, 0.83698], places=4)

    try:
      self.assertAlmostEqualList(obj._thermodynamic.dg_duplexs,
                                 [-7.50000, -7.70000], places=4)
      self.assertAlmostEqualList(obj._thermodynamic.dg_bindings,
                                 [-8.48000, -8.79000], places=4)
      self.assertAlmostEqualList(obj._thermodynamic.dg_opens,
                                 [14.10000, 14.10000], places=4)
    except AttributeError:
      #: Validate if python-only model is used.
      self.assertEqual(obj.model, 'python_only_seed')
Exemplo n.º 2
0
  def test_load_fasta(self):
    with self.assertRaises(IOError):
      utils.load_fasta("NONEXISTENT.fa")

    fa = utils.load_fasta('tests/input/NM_024573.fa')

    fa_content = {
      'NM_024573': (
        'CUUGAUUUAGGAGCUCUCAGUUGCAUAGAAAGAUCUGGUGAGCACCUUUUCAUCCCCAGAAAAGGAGCAC'
        'GUGAAUUGAGUCGCCUGGCGGCUCUGUACGCGCUCAGGGAAGCUUAGCUUCUUGGUGCCCAUCUACGUGC'
        'ACUGGAUGAUUUUUCUUUUGAACAUUUUGCCCCACUACACUGUUUUGGGGAUAGCUGGGUUAAGCAAGUU'
        'AAAGAUAUUUACAUUUAUAUUGGAAUUUUAGCAACUUUUUUUCAGGUUAAAUAUAUAAUUUCAAGUGCUU'
        'UUAAUGAACUUAUUUUUAAUUGGCUAGGGAGCAAAAAAUAAGUGAGUUCUGCUUUUAGUUAGUUAACCUU'
        'GUUCUUUUCUUAAAUAGUACACUGCAUGGUAUUUAAUAUUCCAGGAAGCAUGGGAUUUUAUUUUGCUUGA'
        'UUUUGGGCACAUGAAAUAAUAGCUCUAGGAAAAUGCGCAUCUUAAUGACUCUUUGUAAAGAGAGGCAUUU'
        'CUUACAACUGUGAUGUUUGCUUACAUAAAAGUUACCUCAUAAGUUAAUUCUAACUUUUAUUCUUGAAUUU'
        'UAUUUCAUUUCAAUAGCUUGUUUCAUUUGCACGCCUUUGUAUUUUGAUUGACCUGUAGAAUGGAUGUUAG'
        'GAAACUCAAAAUUGAACACAGUGAAACAAAUGGUAUUUGAAGAAAUGUAAUAUCUUUUAUAUUCUAUUUA'
        'UGAUAUCCAUAAUCAAAUGAGAUUAUUUUACCACAUAAAUGUUUUAAAUAUCAGAUUUUUAGUUUGCAGU'
        'UUUAGGAAAAUGCUUUAGAUAGAAAAGGUUCUUAUGCAUUGAAUUUGGAGUACUACCAACAAUGAAUGAA'
        'UUUAUUUUUUAUAUUCUUACACAUUUUAUUGGUCAUUGUCACAGAUAGUAAAUACUAAAAAUUUCAGGUC'
        'AGUUUGUUUUGAAACUGAAAUUGGAAAUAAAUCUGGAAAUGUUUUGUUGCACUAAAAUAAUAAAAUGAAU'
        'UGUACUG'
      )
    }

    self.assertIsInstance(fa, dict)
    self.assertEqual(fa.keys(), fa_content.keys())
    self.assertEqual(fa['NM_024573'], fa_content['NM_024573'])
Exemplo n.º 3
0
 def setUp(self):
   _mirs = utils.load_fasta('tests/input/hsa-miR-30a-3p.fa')
   _mrnas = utils.load_fasta('tests/input/NM_024573.fa')
   args = {
     'target_seq': _mrnas['NM_024573'],
     'mirna_seq': _mirs['hsa-miR-30a-3p'],
   }
   self.seed = seed.mmSeed(**args)
   self.seed.find_potential_targets_with_seed()