def bamAddRG(editRemap, editBamReads, templateBamFile, outBamFile):
# editRemapBam_addRG_File = tempOutDir + "/edit.remap.addRG.bam"
head = editRemap.header
head["RG"] = templateBamFile.header["RG"]
addRGBam = pysam.AlignmentFile(outBamFile, 'wb', header=head)
RG = _getRGs(templateBamFile)
for read in editRemap.fetch():
readName = read.query_name
strand = getReadStrand(read)
if readName in editBamReads:
orig = editBamReads[readName][strand]
else:
orig = None
newRead = readAddRG(read, orig, RG)
# print newRead
addRGBam.write(newRead)
addRGBam.close()
def deal_haplotype(bam_file, haplotype, reffasta, haplotype_prefix, mindepth,
minmutreads, minmapq, diffcover, is_single,
is_multmapfilter, aligner, aligner_index, **kwargs):
reads_dict = OrderedDict()
bam = pysam.AlignmentFile(bam_file, 'rb')
reads = bam.fetch(reference=haplotype.chrom,
start=haplotype.start,
end=haplotype.end + 1)
depth = 0
for read in reads:
depth += 1
if read.reference_start is not None and not read.is_secondary and bin(
read.flag & 2048) != bin(2048):
if read.query_name not in reads_dict:
reads_dict[read.query_name] = {}
strand = getReadStrand(read)
reads_dict[read.query_name][strand] = read
# judge depth and mut reads whether qualified
if depth < int(mindepth):
print "depth less than min depth!"
return False, "haplotype in position %s:%s-%s: depth less than min depth(%s)" % (
haplotype.chrom, haplotype.start, haplotype.end, mindepth)
else:
mut_reads_num = int(depth * haplotype.freq)
if mut_reads_num < int(minmutreads):
print "mutation reads num less than minmutreads!"
return False, "haplotype in position %s:%s-%s: mut reads less than min mut reads(%s)" % (
haplotype.chrom, haplotype.start, haplotype.end, minmutreads)
print "start pick reads"
# print str(haplotype)
res = pick_reads(bam, reads_dict, mut_reads_num, is_single, minmapq,
is_multmapfilter)
if res[0] is False:
return False, "haplotype in position %s:%s-%s: %s" % (
haplotype.chrom, haplotype.start, haplotype.end, res[1])
chosen_reads, mate_reads = res
print "end pick reads"
# edit
my_chosen_reads = {}
my_mate_reads = {}
tmp_bam_file = haplotype_prefix + ".chosen.edited.bam"
tmp_bam = pysam.AlignmentFile(tmp_bam_file, 'wb', template=bam)
chosen_reads_num = 0
real_mut_reads_num = 0
for readName, readInfo in chosen_reads.items():
my_chosen_reads[readName] = {}
tmp_dict = {}
tmp_dict2 = {}
for strand, read in readInfo.items():
my_read = Read(read)
res = editRead(my_read, reffasta, haplotype.mutList)
if res is False:
continue
real_mut_reads_num += 1
sequence, quality, shift = res
read.query_sequence = sequence
read.query_qualities = quality
tmp_dict[strand] = my_read
tmp_dict2[strand] = read
if is_single:
for strand in tmp_dict:
my_chosen_reads[readName][strand] = tmp_dict[strand]
tmp_bam.write(tmp_dict2[strand])
chosen_reads_num += 1
else:
if len(tmp_dict) == 0:
continue
elif len(tmp_dict) == 1 and readName in mate_reads:
for strand in tmp_dict:
my_chosen_reads[readName][strand] = tmp_dict[strand]
tmp_bam.write(tmp_dict2[strand])
chosen_reads_num += 1
mate_read = mate_reads[readName]
my_mate_reads[readName] = Read(mate_read)
tmp_bam.write(mate_read)
elif len(tmp_dict) == 2:
for strand in tmp_dict:
my_chosen_reads[readName][strand] = tmp_dict[strand]
tmp_bam.write(tmp_dict2[strand])
chosen_reads_num += 1
tmp_bam.close()
# alignment and judge coverdiff whether qualified
chosen_bam_file = haplotype_prefix + ".chosen.remap.bam"
genome_index = aligner_index
remap(genome_index, tmp_bam_file, chosen_bam_file, aligner, is_single)
chosen_bam = pysam.AlignmentFile(chosen_bam_file)
if judge_coverdiff(bam, depth, chosen_bam, chosen_reads_num, haplotype,
float(diffcover)):
return my_chosen_reads, my_mate_reads, real_mut_reads_num, depth
else:
return False, "haplotype in position %s:%s-%s: coverdiff is less than minDiffCover" % (
haplotype.chrom, haplotype.start, haplotype.end)
def reads_replace(bam_file, total_chosen_reads, seqer, flow_order, lib_key,
barcode, tag, out_dir, aligner, aligner_index, is_single):
bam = pysam.AlignmentFile(bam_file)
edit_bam_reads = {}
for read in bam.fetch():
read_name = read.query_name
if read_name in total_chosen_reads:
strand = getReadStrand(read)
if read_name not in edit_bam_reads:
edit_bam_reads[read_name] = {}
if strand in total_chosen_reads[read_name]:
my_read = total_chosen_reads[read_name][strand]
read.query_sequence = my_read.query_sequence
read.query_qualities = my_read.query_qualities
if seqer == "life":
read = deal_life_reads(read, flow_order, lib_key, barcode)
if tag:
read = add_tag(read)
edit_bam_reads[read_name][strand] = read
else:
edit_bam_reads[read_name][strand] = read
# write edited reads into edit.bam
edit_bam_file = os.path.join(out_dir, "edit.bam")
edit_bam = pysam.AlignmentFile(edit_bam_file, 'wb', template=bam)
for read_name, readInfo in edit_bam_reads.items():
for strand, read in readInfo.items():
edit_bam.write(read)
edit_bam.close()
# write not edited reads into exclude.bam
exclude_bam_file = os.path.join(out_dir, "exclude.bam")
exclude_bam = pysam.AlignmentFile(exclude_bam_file, 'wb', template=bam)
for read in bam.fetch():
read_name = read.query_name
if read_name not in edit_bam_reads:
exclude_bam.write(read)
exclude_bam.close()
# remap the edited reads
header = os.path.join(out_dir, 'bam.header')
os.system('samtools view -H %s|grep "^@RG" > %s' % (bam_file, header))
head = open(header, 'r').readline().rstrip()
if not head:
head = None
edit_remap_bam_file = os.path.join(out_dir, "edit.remap.bam")
remap(aligner_index,
edit_bam_file,
edit_remap_bam_file,
aligner,
is_single,
header=head)
edit_remap_bam_sorted_prefix = os.path.join(out_dir, "edit.remap.sort")
edit_remap_bam_sorted_file = os.path.join(out_dir, "edit.remap.sort.bam")
bamSort(edit_remap_bam_file, edit_remap_bam_sorted_prefix)
bamIndex(edit_remap_bam_sorted_file)
if tag:
edit_remap_addtag_file = os.path.join(out_dir, "edit.remap.sort.bam")
bam_add_tag(edit_remap_bam_sorted_file, edit_remap_addtag_file)
else:
edit_remap_addtag_file = edit_remap_bam_sorted_file
return edit_remap_addtag_file, exclude_bam_file