def test_read_pslx(self):
mapping = {}
for record in SeqIO.parse(get_data('blat_input.fa'), 'fasta'):
mapping[record.id] = record.seq
header, rows = Blat.read_pslx(get_data('blat_output.pslx'), mapping)
self.assertEqual(11067, len(rows))
expect_pslx_header = [
'match',
'mismatch',
'repmatch',
'ncount',
'qgap_count',
'qgap_bases',
'tgap_count',
'tgap_bases',
'strand',
'qname',
'qsize',
'qstart',
'qend',
'tname',
'tsize',
'tstart',
'tend',
'block_count',
'block_sizes',
'qstarts',
'tstarts',
'qseqs',
'tseqs',
]
self.assertEqual(expect_pslx_header, header)
def test_pslx_row_to_pysam_single_block(self):
pslx_row = {
'score':
20,
'tseqs': ['AATACCAAATACATGATATA'],
'tstarts': [3432307],
'tstart':
3432307,
'block_sizes': [20],
'qname':
'seq1',
'tname':
'Y',
'qstarts': [93],
'strand':
'+',
'qseqs': ['AATACCATACATGATATA'],
'percent_ident':
100.0,
'qseq_full':
'AGCCTCCCAAGTAGCTGGGACTACAGGCGCCCGCCACTACGCCCGGCTAATTTTTTGTATTTTTAGTAGAGACGGGGTTTCACCGTTTT'
'AGCCAGGATGGTCTCGATCTCCTGACCTCATGATCCGCCCGCCTCGGC',
}
read = Blat.pslx_row_to_pysam(pslx_row, self.cache, None)
self.assertEqual(23, read.reference_id)
self.assertEqual(Interval(93, 112), query_coverage_interval(read))
def test_pslx_row_to_pysam_revcomp_deletion(self, cache):
pslx_row = {
'block_count':
2,
'tstarts': [2205, 2281],
'block_sizes': [50, 34],
'qname':
'seq1',
'tname':
'reference3',
'qstarts': [0, 50],
'strand':
'-',
'qseq_full':
'CTGAGCATGAAAGCCCTGTAAACACAGAATTTGGTGAGTGGCAGGTGCCATCATGTTTCATTCTGCCTGAGAGCAGTCTACCTA',
'score':
1,
'qseqs': [
'TAGGTAGACTGCTCTCAGGCAGAATGAAACATGATGGCACCTGCCACTCA',
'CCAAATTCTGTGTTTACAGGGCTTTCATGCTCAG',
],
'tseqs': [
'TAGGTAGACTGCTCTCAGGCAGAATGAAACATGATGGCACCTGCCACTCA',
'CCAAATTCTGTGTTTACAGGGCTTTCATGCTCAG',
],
}
read = Blat.pslx_row_to_pysam(pslx_row, cache, REFERENCE_GENOME)
assert read.reference_id == 3
assert query_coverage_interval(read) == Interval(0, 83)
assert read.reference_start == 2205
assert read.cigar == [(CIGAR.EQ, 51), (CIGAR.D, 26), (CIGAR.EQ, 33)]
assert read.query_sequence[
0:50] == 'TAGGTAGACTGCTCTCAGGCAGAATGAAACATGATGGCACCTGCCACTCA'
assert read.query_sequence[50:] == 'CCAAATTCTGTGTTTACAGGGCTTTCATGCTCAG'
def test_pslx_row_to_pysam_duplication(self):
reference = {
'14':
MockObject(seq=MockLongString(
'TTCTTCCATGCCCCCTAATCATGGCCACATTGTATCAGCCTGAGCATGAGCAACAGCACCATGGCCACATACGGGAATGGGCCTCATTGGTGTAATATTTGGCAGATTCTCTCCACACCCCCCGTGGCGGTCTGGCTTACTGTTAAGAAGGGTAACCTTAAAAAATACATTTCCCACTCCAGAAAATACTCATATGTGGCCTGTTAGCAGCACAAGAAGGGTGAAAGCAATGCCCATTCCTGCCTCCCTCCCCCTGCTCACCTCCACGTCCCTGTTTGCCCCTTTGTAGGTGAAGTGAGTATATTCAGCGTCTTCATGGCAGGGGAGAGGGTGTATTAATCCGTCTATGTCCGCTGGAAAGGCAGTCTCTGAGCGGGCCACAAGGGTTCAGCCATGGCCCATCCAATAACCTTTTTGATGACTTGGATGAAGAGACAAACATTCCAACCACATTCAAAGATCCAGACCTCCAAAGTGTGGCTCATTTGGTAGATAATGGAATTATATTTGGAAAGCATTTCCCGCAGCTGGGATGATGGGTCAAAAACAGATAGCATTTTACCAGATCATATTTGTGTGTGTGTGTGTGCGCGCGTGTGTGTGTGTGTGTGTGTGTGTTTTAAATTCAGTTTCCCAACTACAGGATG',
offset=73014463,
))
}
pslx_row = {
'block_count': 2,
'tstarts': [73014606, 73014747],
'block_sizes': [141, 30],
'qname': '',
'tname': '14',
'qstarts': [0, 239],
'strand': '+',
'qseq_full':
'AAGAAGGGTAACCTTAAAAAATACATTTCCCACTCCAGAAAATACTCATATGTGGCCTGTTAGCAGCACAAGAAGGGTGAAAGCAATGCCCATTCCTGCCTCCCTCCCCCTGCTCACCTCCACGTCCCTGTTTGCCCCTTTACTCATATGTGGCCTGTTAGCAGCACAAGAAGGGTGAAAGCAATGCCCATTCCTGCCTCCCTCCCCCTGCTCACCTCCACGTCCCTGTTTGCCCCTTTGTAGGTGAAGTGAGTATATTCAGCGTCTTC',
'score': 1,
}
read2 = Blat.pslx_row_to_pysam(pslx_row, self.cache, reference)
self.assertEqual(13, read2.reference_id)
self.assertEqual(73014606, read2.reference_start)
self.assertEqual([(CIGAR.M, 141), (CIGAR.I, 98), (CIGAR.M, 30)],
_cigar.convert_for_igv(read2.cigar))
self.assertEqual(Interval(0,
len(pslx_row['qseq_full']) - 1),
query_coverage_interval(read2))
def test_pslx_row_to_pysam_gapped_alignment_with_reference(self):
pslx_row = {
'block_count':
1,
'tstarts': [950, 7233],
'block_sizes': [47, 100],
'qname':
'seq1',
'tname':
'fake',
'qstarts': [0, 47],
'strand':
'+',
'qseq_full':
'ATCTAATAACTTGATCAATA'
'TCTGTGATTATATTTTCATT'
'GCCTTCC'
'AATTTTGCAGATTATAAGAT'
'CAATAGATATTTATTGTAAA'
'ATGCACAAATAGTGCAACAT'
'TTCTTAAAGTAGACCGTGAA'
'ATACTTCATGTTGCCATGTT',
'score':
1,
}
read = Blat.pslx_row_to_pysam(pslx_row, self.cache, REFERENCE_GENOME)
self.assertEqual(0, read.reference_id)
self.assertEqual(Interval(0, 146), query_coverage_interval(read))
self.assertEqual(950, read.reference_start)
self.assertEqual([(CIGAR.EQ, 53), (CIGAR.D, 6236), (CIGAR.EQ, 94)],
read.cigar)
def test_pslx_row_to_pysam_gapped_alignment(self, cache):
pslx_row = {
'block_count':
1,
'tstarts': [950, 7233],
'block_sizes': [47, 100],
'qname':
'seq1',
'tname':
'fake',
'qstarts': [0, 47],
'strand':
'+',
'qseq_full':
'ATCTAATAACTTGATCAATA'
'TCTGTGATTATATTTTCATT'
'GCCTTCC'
'AATTTTGCAGATTATAAGAT'
'CAATAGATATTTATTGTAAA'
'ATGCACAAATAGTGCAACAT'
'TTCTTAAAGTAGACCGTGAA'
'ATACTTCATGTTGCCATGTT',
'score':
1,
}
read = Blat.pslx_row_to_pysam(pslx_row, cache, None)
assert read.reference_id == 0
assert query_coverage_interval(read) == Interval(0, 146)
assert read.reference_start == 950
assert read.cigar == [(CIGAR.M, 47), (CIGAR.D, 6236), (CIGAR.M, 100)]
def test_overlapping_blat_blocks_error(self):
row = {
'strand': '+',
'qname': 'seq23',
'tname': '7',
'block_sizes': [54, 53, 36, 80, 29],
'qstarts': [0, 55, 108, 143, 223],
'tstarts': [61279112, 61279166, 61397315, 61990208, 62366144],
'score': 207,
'percent_ident': 91.3,
'qseq_full': (
'CAAAAGGAAATACCTTCACATAAATTCTAGACGGAAGCAATCTGAGAAACTTTTATTGTGATTTGTGCATTCACTTCACAGAGTTAAAACTTTCTTTTGATT'
'GAGCAGTTTGAAACTCTGTTTTTGTAGAATCTGCAAGTGGACATTTGGAGCGCTTTGAGGCCTATGGTGGAAAAGGAAATATCTTCACAGGAAAACTAGATA'
'GAAGTATTCTGAGAAACTTCTTTGTGATGTATGCAGTCATATCTCAGA')
}
cache = Mock(reference_id=MockFunction(6))
with self.assertRaises(AssertionError):
Blat.pslx_row_to_pysam(row, cache, None)
def test_pslx_row_to_pysam_full_reverse(self):
pslx_row = {
'match':
128,
'mismatch':
0,
'repmatch':
0,
'ncount':
0,
'qgap_count':
0,
'qgap_bases':
0,
'tgap_count':
0,
'tgap_bases':
0,
'strand':
'-',
'qname':
'seq1',
'tname':
'reference3',
'tsize':
3711,
'block_sizes': [128],
'qstarts': [117],
'tstarts': [2187],
'qseqs': [
'TGAGCAGAGCTATATATTTAGGTAGACTGCTCTCAGGCAGAATGAAACATGATGGCACCTGCCACTCACGACCAGGAACCAAACAGGAAAGAATCCAAATTCTGTGTTTACAGGGCTTTCATGCTCAG'
],
'tseqs': [
'TGAGCAGAGCTATATATTTAGGTAGACTGCTCTCAGGCAGAATGAAACATGATGGCACCTGCCACTCACGACCAGGAACCAAACAGGAAAGAATCCAAATTCTGTGTTTACAGGGCTTTCATGCTCAG'
],
'_index':
1,
'score':
128,
'percent_ident':
100.0,
'qseq_full':
'CTGAGCATGAAAGCCCTGTAAACACAGAATTTGGATTCTTTCCTGTTTGGTTCCTGGTCGTGAGTGGCAGGTGCCATCATGTTTCATTCTGCCTGAGAGCAGTCTACCTAAATATATAGCTCTGCTCACAGTTTCCCTGCAATGCATAATTAAAATAGCACTATGCAGTTGCTTACACTTCAGATAATGGCTTCCTACATATTGTTGGTTATGAAATTTCAGGGTTTTCATTTCTGTATGTTAAT',
}
read = Blat.pslx_row_to_pysam(pslx_row, self.cache, None)
self.assertEqual(3, read.reference_id)
self.assertEqual([(CIGAR.S, 117), (CIGAR.M, 128)], read.cigar)
self.assertEqual(2187, read.reference_start)
self.assertEqual(Interval(117, 244), query_coverage_interval(read))
def test_simple(self):
row = {
'match': 142,
'mismatch': 0,
'repmatch': 0,
'ncount': 0,
'qgap_count': 0,
'qgap_bases': 0,
'tgap_count': 0,
'tgap_bases': 0,
'strand': '-',
'qname': 'seq1',
'qsize': 204,
'qstart': 0,
'qend': 142,
'tname': '17',
'tsize': 81195210,
'tstart': 32673408,
'tend': 32673550,
'block_count': 1,
'block_sizes': [142],
'qstarts': [62],
'tstarts': [32673408],
'_index': 880,
'score': 142,
'percent_ident': 100.0,
'qseq_full': (
'ACATGTGCACAACGTGCAGGTTTGTTACATATGTATACATGTGCCATGTTGGTTTGCTGCACCCATTAACTCGTCCTAGTTTATTACTAGTCTTCAGACATC'
'CAGAAAATAGAGTAAGATACTAGGTAGACATAACACCTAGATACATCCGTAAGGCATTTGTTTCCTATCACATGGCCCATTCTAGCTTAACACCCACCAACT'
)}
refseq = {'17': Mock(seq=MockLongString(
'ACTAGGTGTTATGTCTACCTAGTATCTTACTCTATTTTCTGGATGTCTGAAGACTAGTAATAAACTAGGACGAGTTAATGGGTGCAGCAAACCAACATGGCACATG'
'TATACATATGTAACAAACCTGCACGTTGTGCACATGTACCCTAAAACTTAAAGTATAAAAAAAAATTTCACTGAGCATAAGACTTCAGACACAAAAGAGTGCATGC'
'CATATAATTCCATTTATGTGAATTTCAAGAACAATCAGTGATGACAGAAGTCAAAGTAGTGGTCACCTCTGGAAGGTGGGACATTGACC',
32673407))}
cache = Mock(reference_id=MockFunction(16))
read = Blat.pslx_row_to_pysam(row, cache, refseq)
self.assertEqual(16, read.reference_id)
self.assertEqual('17', read.reference_name)
self.assertEqual(row['qseq_full'], reverse_complement(read.query_sequence))
self.assertEqual([(CIGAR.S, 62), (CIGAR.EQ, 142)], read.cigar)
def test_pslx_row_to_pysam_simple_with_reference(self):
pslx_row = {
'tstarts': [950],
'block_sizes': [53],
'qname':
'seq1',
'tname':
'fake',
'qstarts': [0],
'strand':
'+',
'score':
0,
'qseq_full':
'ATCTAATAACTTGATCAATA'
'TCTGTGATTATATTTTCATT'
'GCCTTCCAATTTT',
}
read = Blat.pslx_row_to_pysam(pslx_row, self.cache, REFERENCE_GENOME)
self.assertEqual(0, read.reference_id)
self.assertEqual(Interval(0, 52), query_coverage_interval(read))
self.assertEqual(950, read.reference_start)
self.assertEqual(1003, read.reference_end)
self.assertEqual([(CIGAR.EQ, 53)], read.cigar)
def test_pslx_row_to_pysam_simple_with_reference(self, cache):
pslx_row = {
'tstarts': [950],
'block_sizes': [53],
'qname':
'seq1',
'tname':
'fake',
'qstarts': [0],
'strand':
'+',
'score':
0,
'qseq_full':
'ATCTAATAACTTGATCAATA'
'TCTGTGATTATATTTTCATT'
'GCCTTCCAATTTT',
}
read = Blat.pslx_row_to_pysam(pslx_row, cache, REFERENCE_GENOME)
assert read.reference_id == 0
assert query_coverage_interval(read) == Interval(0, 52)
assert read.reference_start == 950
assert read.reference_end == 1003
assert read.cigar == [(CIGAR.EQ, 53)]
def test_pslx_row_to_pysam_revcomp_deletion(self):
pslx_row = {
'block_count':
2,
'tstarts': [2205, 2281],
'block_sizes': [50, 34],
'qname':
'seq1',
'tname':
'reference3',
'qstarts': [0, 50],
'strand':
'-',
'qseq_full':
'CTGAGCATGAAAGCCCTGTAAACACAGAATTTGGTGAGTGGCAGGTGCCATCATGTTTCATTCTGCCTGAGAGCAGTCTACCTA',
'score':
1,
'qseqs': [
'TAGGTAGACTGCTCTCAGGCAGAATGAAACATGATGGCACCTGCCACTCA',
'CCAAATTCTGTGTTTACAGGGCTTTCATGCTCAG'
],
'tseqs': [
'TAGGTAGACTGCTCTCAGGCAGAATGAAACATGATGGCACCTGCCACTCA',
'CCAAATTCTGTGTTTACAGGGCTTTCATGCTCAG'
]
}
read = Blat.pslx_row_to_pysam(pslx_row, self.cache, REFERENCE_GENOME)
self.assertEqual(3, read.reference_id)
self.assertEqual(Interval(0, 83), query_coverage_interval(read))
self.assertEqual(2205, read.reference_start)
self.assertEqual([(CIGAR.EQ, 51), (CIGAR.D, 26), (CIGAR.EQ, 33)],
read.cigar)
self.assertEqual('TAGGTAGACTGCTCTCAGGCAGAATGAAACATGATGGCACCTGCCACTCA',
read.query_sequence[0:50])
self.assertEqual('CCAAATTCTGTGTTTACAGGGCTTTCATGCTCAG',
read.query_sequence[50:])
def test_pslx_row_to_pysam_inversion(self):
s = 'CTGAGCATGAAAGCCCTGTAAACACAGAATTTGGATTCTTTCCTGTTTGGTTCCTGGTCGTGAGTGGCAGGTGCCATCATGTTTCATTCTGCCTGAGAGCAGTCTACCTAAATATATAGCTCTGCTCACAGTTTCCCTGCAATGCATAATTAAAATAGCACTATGCAGTTGCTTACACTTCAGATAATGGCTTCCTACATATTGTTGGTTATGAAATTTCAGGGTTTTCATTTCTGTATGTTAAT'
# first part of the inversion
pslx_row = {
'block_count':
1,
'tstarts': [1114],
'block_sizes': [120],
'qname':
'seq1',
'tname':
'reference3',
'qstarts': [125],
'strand':
'+',
'qseq_full':
s,
'score':
1,
'qseqs': [
'TCACAGTTTCCCTGCAATGCATAATTAAAATAGCACTATGCAGTTGCTTACACTTCAGATAATGGCTTCCTACATATTGTTGGTTATGAAATTTCAGGG'
'TTTTCATTTCTGTATGTTAAT'
],
'tseqs': [
'TCACAGTTTCCCTGCAATGCATAATTAAAATAGCACTATGCAGTTGCTTACACTTCAGATAATGGCTTCCTACATATTGTTGGTTATGAAATTTCAGGG'
'TTTTCATTTCTGTATGTTAAT'
],
}
read1 = Blat.pslx_row_to_pysam(pslx_row, self.cache, REFERENCE_GENOME)
self.assertEqual(3, read1.reference_id)
self.assertEqual(Interval(125, 244), query_coverage_interval(read1))
self.assertEqual(1114, read1.reference_start)
self.assertEqual([(CIGAR.S, 125), (CIGAR.EQ, 120)], read1.cigar)
# second part of the inversion
pslx_row = {
'block_count':
1,
'tstarts': [2187],
'block_sizes': [128],
'qname':
'seq1',
'tname':
'reference3',
'qstarts': [117],
'strand':
'-',
'qseq_full':
s,
'score':
1,
'qseqs': [
'TGAGCAGAGCTATATATTTAGGTAGACTGCTCTCAGGCAGAATGAAACATGATGGCACCTGCCACTCACGACCAGGAACCAAACAGGAAAGAATCCAAAT'
'TCTGTGTTTACAGGGCTTTCATGCTCAG'
],
'tseqs': [
'TGAGCAGAGCTATATATTTAGGTAGACTGCTCTCAGGCAGAATGAAACATGATGGCACCTGCCACTCACGACCAGGAACCAAACAGGAAAGAATCCAAAT'
'TCTGTGTTTACAGGGCTTTCATGCTCAG'
],
}
read2 = Blat.pslx_row_to_pysam(pslx_row, self.cache, REFERENCE_GENOME)
self.assertEqual(3, read2.reference_id)
self.assertEqual(2187, read2.reference_start)
self.assertEqual([(CIGAR.S, 117), (CIGAR.EQ, 128)], read2.cigar)
self.assertEqual(Interval(117, 244), query_coverage_interval(read2))
self.assertEqual(read1.query_sequence,
reverse_complement(read2.query_sequence))
