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SVInter.py
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355 lines (343 loc) · 20.4 KB
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from __future__ import print_function
import pickle
import warnings
warnings.filterwarnings("ignore")
from SVSignature import SignatureDeletion, SignatureInsertion, SignatureInversion, SignatureDuplicationTandem, SignatureTranslocation
def feature_record(alignment_current, alignment_next, ins_tra_flag=False, mode='general'):
distance_on_read = alignment_next['q_start'] - alignment_current['q_end']
if not alignment_current['is_reverse']:
distance_on_reference = alignment_next['ref_start'] - alignment_current['ref_end']
if alignment_next['is_reverse']: # INV:+-
if alignment_current['ref_end'] > alignment_next['ref_end']:
distance_on_reference = alignment_next['ref_end'] - alignment_current['ref_start']
else:
distance_on_reference = alignment_current['ref_end'] - alignment_next['ref_start']
else:
distance_on_reference = alignment_current['ref_start'] - alignment_next['ref_end']
if not alignment_next['is_reverse']: # INV:-+
if alignment_current['ref_end'] > alignment_next['ref_end']:
distance_on_reference = alignment_next['ref_end'] - alignment_current['ref_start']
else:
distance_on_reference = alignment_current['ref_end'] - alignment_next['ref_start']
deviation = distance_on_read - distance_on_reference
chr_ = 1 if alignment_current['ref_id'] == alignment_next['ref_id'] else 0
orientation = 1 if alignment_current['is_reverse'] == alignment_next['is_reverse'] else 0
if mode == 'general':
soft_clipped_length = 0
for operation, length in alignment_current['cigar_tuple']:
if operation == 4:
soft_clipped_length += length
soft_clipped_ratio = soft_clipped_length / alignment_current['infer_read_length']
atgc_seq = alignment_current['atgc_seq']
a_freq = atgc_seq.count('A') / len(atgc_seq)
t_freq = atgc_seq.count('T') / len(atgc_seq)
g_freq = atgc_seq.count('G') / len(atgc_seq)
c_freq = atgc_seq.count('C') / len(atgc_seq)
dup_freq = (atgc_seq.count('AAAAA') + atgc_seq.count('TTTTT') + atgc_seq.count('GGGGG') + atgc_seq.count(
'CCCCC')) / len(atgc_seq)
feature_data = {
'chr': chr_,
'orientation': orientation,
'dis_read': distance_on_read,
'dis_ref': distance_on_reference,
'deviation': deviation,
'map_quality': (alignment_current['mapping_quality'] + alignment_next['mapping_quality']) / 2,
'soft_clipped_ratio': soft_clipped_ratio,
'FLAG': alignment_current['FLAG'],
'infer_read_length': alignment_current['infer_read_length'],
'bin': alignment_current['bin'],
'A': alignment_current['q_start'],
'B': alignment_current['q_end'],
'C': alignment_current['ref_id'],
'D': alignment_current['ref_start'],
'E': alignment_current['ref_end'],
'soft_clipped_length': soft_clipped_length,
'NM': alignment_current['NM'],
'a_freq': a_freq,
't_freq': t_freq,
'g_freq': g_freq,
'c_freq': c_freq,
'dup_freq': dup_freq,
}
return [feature_data, (alignment_current, alignment_next, ins_tra_flag)]
else:
return (alignment_current, alignment_next, chr_, orientation, distance_on_read, distance_on_reference,
deviation, ins_tra_flag)
def feature_read_segement(primary, supplementaries, mode = 'general'):
read_name = primary.query_name
alignments = [primary] + supplementaries
alignment_list = []
sg_list = []
for alignment in alignments:
if alignment.is_reverse:
q_start = alignment.infer_read_length() - alignment.query_alignment_end
q_end = alignment.infer_read_length() - alignment.query_alignment_start
else:
q_start = alignment.query_alignment_start
q_end = alignment.query_alignment_end
if alignment.has_tag('NM'):
nm = alignment.get_tag('NM')
else:
nm = 0
new_alignment_dict = {'read_name': read_name,
'q_start': q_start,
'q_end': q_end,
'ref_id': alignment.reference_id,
'ref_start': alignment.reference_start,
'ref_end': alignment.reference_end,
'is_reverse': alignment.is_reverse,
'mapping_quality': alignment.mapping_quality,
'cigar_tuple': alignment.cigartuples,
'FLAG': alignment.flag,
'infer_read_length': alignment.infer_read_length(),
'NM': nm,
'bin': alignment.bin,
'atgc_seq': alignment.query_sequence,
}
alignment_list.append(new_alignment_dict)
sorted_alignment_list = sorted(alignment_list, key=lambda aln: (aln['q_start'], aln['q_end']))
for index in range(len(sorted_alignment_list) - 1):
sg_list.append(feature_record(sorted_alignment_list[index], sorted_alignment_list[index + 1], mode=mode))
if len(alignment_list) >= 3 and sorted_alignment_list[0]['ref_id'] != sorted_alignment_list[1]['ref_id']:
sg_list.append(feature_record(sorted_alignment_list[0], sorted_alignment_list[-1], ins_tra_flag=True, mode=mode))
return sg_list
def analyze_read_segments(bam, segement_data, options, mode = 'general'):
sv_signatures = []
if mode == 'general':
feature_list = [list(sublist[0].values()) for sublist in segement_data]
sig_list = [sublist[1] for sublist in segement_data]
model = pickle.load(open('model/model_sim_indel_rf_test_.pkl', 'rb'))
pred_type_list = model.predict(feature_list)
for pred_type, feature_data, split_data in zip(pred_type_list, feature_list, sig_list):
alignment_current = split_data[0]
alignment_next = split_data[1]
read_name = alignment_current['read_name']
ref_chr = bam.getrname(alignment_current['ref_id'])
orientation = feature_data[1]
deviation = feature_data[4]
if pred_type == 1 or split_data[2]: # INS
if not alignment_current['is_reverse']:
start = (alignment_current['ref_end'] + alignment_next['ref_start']) // 2 if not split_data[2] else min(alignment_current['ref_end'], alignment_next['ref_start'])
else:
start = (alignment_current['ref_start'] + alignment_next['ref_end']) // 2 if not split_data[2] else min(alignment_current['ref_start'], alignment_next['ref_end'])
end = start + deviation
if end - start < options.min_sv_size:
continue
insertion_seq = alignment_current['atgc_seq'][
alignment_current['q_end']:alignment_current['q_end'] + deviation]
sv_sig = (ref_chr, start, end, "suppl", read_name, insertion_seq)
sv_signatures.append(SignatureInsertion(*sv_sig))
elif pred_type == 0: # DEL
if not alignment_current['is_reverse']:
start = alignment_current['ref_end']
else:
start = alignment_next['ref_end']
end = start - deviation
if end - start < options.min_sv_size:
continue
sv_sig = (ref_chr, start, end, "suppl", read_name)
sv_signatures.append(SignatureDeletion(*sv_sig))
elif pred_type == 2:
# if distance_on_reference <= -options.min_sv_size: # DUP
if not alignment_current['is_reverse']:
start = alignment_next['ref_start']
end = alignment_current['ref_end']
else:
start = alignment_current['ref_start']
end = alignment_next['ref_end']
if end - start < options.min_sv_size:
continue
sv_sig = (ref_chr, start, end, "suppl", read_name)
sv_signatures.append(SignatureDuplicationTandem(*sv_sig))
elif pred_type == 3: # INV
if not alignment_current['is_reverse']: # +-
if alignment_next['ref_start'] - alignment_current['ref_end'] >= -options.segment_overlap_tolerance:
# if options.min_sv_size <= distance_on_reference <= options.max_sv_size:
start = alignment_current['ref_end']
end = alignment_next['ref_end']
sv_sig = (ref_chr, start, end, "suppl", read_name, "left_fwd")
elif alignment_current['ref_start'] - alignment_next['ref_end'] >= -options.segment_overlap_tolerance:
# if -options.max_sv_size <= distance_on_reference <= -options.min_sv_size:
start = alignment_next['ref_end']
end = alignment_current['ref_end']
sv_sig = (ref_chr, start, end, "suppl", read_name, "left_rev")
else:
continue
else: # -+
if alignment_next['ref_start'] - alignment_current['ref_end'] >= -options.segment_overlap_tolerance:
# if options.min_sv_size <= distance_on_reference <= options.max_sv_size:
start = alignment_current['ref_start']
end = alignment_next['ref_start']
sv_sig = (ref_chr, start, end, "suppl", read_name, "right_fwd")
elif alignment_current['ref_start'] - alignment_next['ref_end'] >= -options.segment_overlap_tolerance:
# if -options.max_sv_size <= distance_on_reference <= -options.min_sv_size:
start = alignment_next['ref_start']
end = alignment_current['ref_start']
sv_sig = (ref_chr, start, end, "suppl", read_name, "right_rev")
else:
continue
if end - start < options.min_sv_size:
continue
sv_signatures.append(SignatureInversion(*sv_sig))
elif pred_type == 4: # TRA
ref_chr_next = bam.getrname(alignment_next['ref_id'])
if orientation == 1:
# if distance_on_read <= options.segment_gap_tolerance:
if not alignment_current['is_reverse']: # ++
if ref_chr < ref_chr_next:
start = alignment_current['ref_end']
end = alignment_next['ref_start']
else:
ref_chr, ref_chr_next = ref_chr_next, ref_chr
start = alignment_next['ref_start']
end = alignment_current['ref_end']
sv_sig = (ref_chr, start, 'fwd', ref_chr_next, end, 'fwd', "suppl", read_name)
else: # --
if ref_chr < ref_chr_next:
start = alignment_current['ref_start']
end = alignment_next['ref_end']
else:
ref_chr, ref_chr_next = ref_chr_next, ref_chr
start = alignment_next['ref_end']
end = alignment_current['ref_start']
sv_sig = (ref_chr, start, 'rev', ref_chr_next, end, 'rev', "suppl", read_name)
else:
# if distance_on_read <= options.segment_gap_tolerance:
if not alignment_current['is_reverse']: # +-
if ref_chr < ref_chr_next:
start = alignment_current['ref_end']
end = alignment_next['ref_end']
else:
ref_chr, ref_chr_next = ref_chr_next, ref_chr
start = alignment_next['ref_end']
end = alignment_current['ref_end']
sv_sig = (ref_chr, start, 'fwd', ref_chr_next, end, 'rev', "suppl", read_name)
else: # -+
if ref_chr < ref_chr_next:
start = alignment_current['ref_start']
end = alignment_next['ref_start']
else:
ref_chr, ref_chr_next = ref_chr_next, ref_chr
start = alignment_next['ref_start']
end = alignment_current['ref_start']
sv_sig = (ref_chr, start, 'rev', ref_chr_next, end, 'fwd', "suppl", read_name)
sv_signatures.append(SignatureTranslocation(*sv_sig))
return sv_signatures
else:
for sv_sig in segement_data:
alignment_current = sv_sig[0]
alignment_next = sv_sig[1]
read_name = alignment_current['read_name']
ref_chr = bam.getrname(alignment_current['ref_id'])
chr_, orientation, distance_on_read, distance_on_reference, deviation, long_ins = sv_sig[2:]
if chr_ == 1:
if orientation == 1:
if distance_on_reference >= -options.min_sv_size or long_ins: # INS
if deviation > 0: # INS
if not alignment_current['is_reverse']:
start = (alignment_current['ref_end'] + alignment_next['ref_start']) // 2 if not long_ins else min(alignment_current['ref_end'], alignment_next['ref_start'])
else:
start = (alignment_current['ref_start'] + alignment_next['ref_end']) // 2 if not long_ins else min(alignment_current['ref_start'], alignment_next['ref_end'])
end = start + deviation
if end - start < options.min_sv_size:
continue
insertion_seq = alignment_current['atgc_seq'][
alignment_current['q_end']:alignment_current['q_end'] + deviation]
sv_sig = (ref_chr, start, end, "suppl", read_name, insertion_seq)
sv_signatures.append(SignatureInsertion(*sv_sig))
elif deviation < 0: # DEL
if not alignment_current['is_reverse']:
start = alignment_current['ref_end']
else:
start = alignment_next['ref_end']
end = start - deviation
sv_sig = (ref_chr, start, end, "suppl", read_name)
sv_signatures.append(SignatureDeletion(*sv_sig))
else:
continue
else:
# if distance_on_reference <= -options.min_sv_size: #
if not alignment_current['is_reverse']:
start = alignment_next['ref_start']
end = alignment_current['ref_end']
else:
start = alignment_current['ref_start']
end = alignment_next['ref_end']
sv_sig = (ref_chr, start, end, "suppl", read_name)
sv_signatures.append(SignatureDuplicationTandem(*sv_sig))
else: # INV
if not alignment_current['is_reverse']: # +-
if alignment_next['ref_start'] - alignment_current[
'ref_end'] >= -options.segment_overlap_tolerance:
# if options.min_sv_size <= distance_on_reference <= options.max_sv_size:
start = alignment_current['ref_end']
end = alignment_next['ref_end']
sv_sig = (ref_chr, start, end, "suppl", read_name, "left_fwd")
elif alignment_current['ref_start'] - alignment_next[
'ref_end'] >= -options.segment_overlap_tolerance:
# if -options.max_sv_size <= distance_on_reference <= -options.min_sv_size:
start = alignment_next['ref_end']
end = alignment_current['ref_end']
sv_sig = (ref_chr, start, end, "suppl", read_name, "left_rev")
else:
continue
else: # -+
if alignment_next['ref_start'] - alignment_current[
'ref_end'] >= -options.segment_overlap_tolerance:
# if options.min_sv_size <= distance_on_reference <= options.max_sv_size:
start = alignment_current['ref_start']
end = alignment_next['ref_start']
sv_sig = (ref_chr, start, end, "suppl", read_name, "right_fwd")
elif alignment_current['ref_start'] - alignment_next[
'ref_end'] >= -options.segment_overlap_tolerance:
# if -options.max_sv_size <= distance_on_reference <= -options.min_sv_size:
start = alignment_next['ref_start']
end = alignment_current['ref_start']
sv_sig = (ref_chr, start, end, "suppl", read_name, "right_rev")
else:
continue
sv_signatures.append(SignatureInversion(*sv_sig))
else: # TRA
ref_chr_next = bam.getrname(alignment_next['ref_id'])
if orientation == 1:
# if distance_on_read <= options.segment_gap_tolerance:
if not alignment_current['is_reverse']: # ++
if ref_chr < ref_chr_next:
start = alignment_current['ref_end']
end = alignment_next['ref_start']
else:
ref_chr, ref_chr_next = ref_chr_next, ref_chr
start = alignment_next['ref_start']
end = alignment_current['ref_end']
sv_sig = (ref_chr, start, 'fwd', ref_chr_next, end, 'fwd', "suppl", read_name)
else: # --
if ref_chr < ref_chr_next:
start = alignment_current['ref_start']
end = alignment_next['ref_end']
else:
ref_chr, ref_chr_next = ref_chr_next, ref_chr
start = alignment_next['ref_end']
end = alignment_current['ref_start']
sv_sig = (ref_chr, start, 'rev', ref_chr_next, end, 'rev', "suppl", read_name)
else:
# if distance_on_read <= options.segment_gap_tolerance:
if not alignment_current['is_reverse']: # +-
if ref_chr < ref_chr_next:
start = alignment_current['ref_end']
end = alignment_next['ref_end']
else:
ref_chr, ref_chr_next = ref_chr_next, ref_chr
start = alignment_next['ref_end']
end = alignment_current['ref_end']
sv_sig = (ref_chr, start, 'fwd', ref_chr_next, end, 'rev', "suppl", read_name)
else: # -+
if ref_chr < ref_chr_next:
start = alignment_current['ref_start']
end = alignment_next['ref_start']
else:
ref_chr, ref_chr_next = ref_chr_next, ref_chr
start = alignment_next['ref_start']
end = alignment_current['ref_start']
sv_sig = (ref_chr, start, 'rev', ref_chr_next, end, 'fwd', "suppl", read_name)
sv_signatures.append(SignatureTranslocation(*sv_sig))
return sv_signatures