def test_get_charged_mass(self):
  
      pep = test_shared.runpep2
      transitions = test_shared.runtransitions2
      precursors = test_shared.runprecursors_obj2
      par = self.par
      q3_high = self.q3_high
      q3_low = self.q3_low

      precursors = [ (p.q1, p.modified_sequence, p.transition_group) for p in precursors]
      colldensity = c_getnonuis.calculate_density( 
        tuple(transitions), precursors, q3_low, q3_high, par.q3_window, par.ppm)
      self.assertEqual(colldensity, [1916, 1800, 2601, 3127, 4525, 4975, 3155, 3091, 2127, 3494, 4519, 5546, 4505, 4429, 5604])
示例#2
0
            precursors = [
                p for p in allprecursors if p[2] != pep['peptide_key']
                and p[4] > ssrcalc_low and p[4] < ssrcalc_high
            ]
    elif not use_db:
        # Use the rangetree
        # correct rounding errors, s.t. we get the same results as before!
        # use the rangetree
        ssrcalc_low = ssrcalc - par.ssrcalc_window + 0.001
        ssrcalc_high = ssrcalc + par.ssrcalc_window - 0.001
        precursor_ids = tuple(
            c_rangetree.query_tree(q1_low, ssrcalc_low, q1_high, ssrcalc_high))
        precursors = [
            parentid_lookup[myid[0]] for myid in precursor_ids
            #dont select myself
            if parentid_lookup[myid[0]][2] != pep['peptide_key']
        ]
    #now calculate collisions in this area of the space
    colldensity = c_getnonuis.calculate_density(transitions, precursors,
                                                q3_low, q3_high, par.q3_window,
                                                par.ppm)
    assert MAX_UIS == 1
    nonuseable = len([c for c in colldensity if c > 0])
    prepare.append((nonuseable, nr_transitions, p_id, 1, exp_key))
    progressm.update(1)

cursor.executemany(
    'insert into %s' % restable + ' (non_useable_UIS, total_UIS, \
                  parent_key, uisorder, exp_key) values (%s,%s,%s,%s,%s)',
    prepare)
示例#3
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            precursors = [p for p in allprecursors if p[2] != pep['peptide_key'] ]
        else:
            ssrcalc_low = ssrcalc - par.ssrcalc_window 
            ssrcalc_high = ssrcalc + par.ssrcalc_window 
            precursors = [p for p in allprecursors if p[2] != pep['peptide_key'] 
                         and p[4] > ssrcalc_low and p[4] < ssrcalc_high ]
    elif not use_db:
        # Use the rangetree
        # correct rounding errors, s.t. we get the same results as before!
        # use the rangetree
        ssrcalc_low = ssrcalc - par.ssrcalc_window + 0.001
        ssrcalc_high = ssrcalc + par.ssrcalc_window - 0.001
        precursor_ids = tuple(c_rangetree.query_tree( q1_low, ssrcalc_low, 
                                                     q1_high,  ssrcalc_high )  )
        precursors = [parentid_lookup[myid[0]] for myid in precursor_ids
                            #dont select myself 
                           if parentid_lookup[myid[0]][2]  != pep['peptide_key']]
    #now calculate collisions in this area of the space
    colldensity = c_getnonuis.calculate_density( 
        transitions, precursors, q3_low, q3_high, par.q3_window, par.ppm)
    assert MAX_UIS == 1
    nonuseable = len( [c for c in colldensity if c >0 ] )
    prepare.append( (nonuseable, nr_transitions, p_id , 1, exp_key) )
    progressm.update(1)


cursor.executemany('insert into %s' % restable + ' (non_useable_UIS, total_UIS, \
                  parent_key, uisorder, exp_key) values (%s,%s,%s,%s,%s)' , prepare)