def main():
parser = argparse.ArgumentParser()
parser.add_argument("--unit",
help="Unit of tandem repeat. Default: random")
parser.add_argument("--unit-len",
help="Unit length used in case no unit is provided",
type=int,
default=200)
parser.add_argument("--multiplicity",
help="Multiplicity of the repeat to generate",
required=True,
type=int)
parser.add_argument("--div-rate",
help="Average divergence rate between blocks",
type=float,
required=True)
parser.add_argument("-o", "--output",
help="Output directory",
required=True)
parser.add_argument("--seed", help="Seed", type=int)
params = parser.parse_args()
if params.seed is not None:
np.random.seed(params.seed)
if params.unit is None:
unit = gen_random_seq(length=params.unit_len)
else:
unit = read_bio_seq(params.unit)
tr, left_flanked_tr, flanked_tr, all_muts = generate_mutations(unit, params.multiplicity, params.div_rate)
output_results(tr, left_flanked_tr, flanked_tr, all_muts, params.output)
def get_units(input_dir):
units = {}
for f in os.scandir(input_dir):
if f.is_dir():
polished_fn = os.path.join(f.path, 'polished_2.fasta')
unit = read_bio_seq(polished_fn)
units[os.path.basename(f.path)] = unit
return units
def write_dot(self, outdir, reffn=None, refhpc=False,
compact=False, export_pdf=True):
if reffn is not None:
# TODO make a parameter
exact_matcher_bin = '/Poppy/abzikadze/DR/bin/exact_matcher'
ref = read_bio_seq(reffn)
if refhpc:
ref = compress_homopolymer(ref)
reffn_outfn = os.path.join(outdir, 'ref.fasta')
write_bio_seqs(reffn_outfn, {'ref': ref})
exact_matcher_outfn = os.path.join(outdir, 'edge_matching.tsv')
edges_fn = os.path.join(
outdir, f'dbg_{self.init_k}-{self.init_k+self.niter}.fasta')
exact_matcher_cmd = \
f'{exact_matcher_bin} --output {exact_matcher_outfn} ' \
f'--reference {reffn_outfn} --query {edges_fn}'
logger.info(f'Running exact matcher. Cmd: {exact_matcher_cmd}')
exact_matcher_cmd = exact_matcher_cmd.split(' ')
subprocess.call(exact_matcher_cmd)
mult = defaultdict(lambda: [0, 0])
with open(exact_matcher_outfn) as f:
f.readline()
for line in f:
line = line.strip().split('\t')
_, index, pos, strand = line
index, pos = int(index), int(pos)
strand = strand != '+' # strand == '-' => 0
mult[index][strand] += 1
outfile = os.path.join(outdir,
f'dbg_{self.init_k}-{self.init_k+self.niter}')
graph = nx.MultiDiGraph()
for node in self.nx_graph.nodes():
graph.add_node(node, label=f'{node} len={self.node2len[node]}')
for edge in self.nx_graph.edges(keys=True):
index = self.edge2index[edge]
seq = self.edge2seq[index] if not compact else None
seqlen = len(self.edge2seq[index])
label = f'index={index}\nlen={seqlen}'
if reffn is not None:
# print(mult[index], mult_est[index])
# assert mult[index] == 0 or mult[index] >= mult_est[index]
if mult[index] == [0, 0]:
logger.info(f'Warning: edge {index} has [0, 0] coverage')
label += f'\nmult_real={mult[index]}'
graph.add_edge(*edge,
label=label,
seq=seq)
dotfile = f'{outfile}.dot'
nx.drawing.nx_pydot.write_dot(graph, dotfile)
if export_pdf and self.nx_graph.size() < 500:
pdffile = f'{outfile}.pdf'
# https://stackoverflow.com/a/3516106
cmd = ['dot', '-Tpdf', dotfile, '-o', pdffile]
call(cmd)
def read_polishing(self, read_unit_filenames):
min_pos = min(read_unit_filenames.keys())
max_pos = max(read_unit_filenames.keys())
polished_seqs = {}
final_sequences = {}
for i in range(1, self.params.num_iters + 1):
for pos, (units_fn, longest_read_unit_fn) in read_unit_filenames.items():
pos_dir = os.path.dirname(units_fn)
polished_seq_fn = os.path.join(pos_dir, f'polished_{i}.fasta')
polished_seq = read_bio_seq(polished_seq_fn)
polished_seqs[pos] = polished_seq
final_sequence = \
[polished_seqs[pos] for pos in range(min_pos, max_pos + 1)]
final_sequence = ''.join(final_sequence)
final_sequences[i] = final_sequence
return final_sequences
def __init__(self, params):
self.params = params
if not os.path.isfile(params.unit):
raise FileNotFoundError(f"File {params.unit} is not found")
self.unit = read_bio_seq(params.unit)
self.ncrf_report = NCRF_Report(params.ncrf)
self.motif_alignments = self.ncrf_report.get_motif_alignments()
smart_makedirs(params.outdir)
self.read_placement = read_reported_positions(params.read_placement)
self.max_pos = self.params.max_pos
self.min_pos = self.params.min_pos
if self.max_pos == math.inf:
self.max_pos = 0
for r_id, pos in self.read_placement.items():
if pos is None:
continue
ma = self.motif_alignments[r_id]
self.max_pos = max(self.max_pos, pos + len(ma))
def main():
params = parse_args()
outdir = os.path.dirname(params.output)
smart_makedirs(outdir)
reads_ncrf_report = NCRF_Report(params.reads_ncrf)
unit_seq = read_bio_seq(params.unit)
kmer_counts_reads, most_frequent_kmers = \
get_most_frequent_kmers(reads_ncrf_report,
k=params.k,
unit_seq=unit_seq)
new_unit = get_polished_unit(k=params.k,
most_frequent_kmers=most_frequent_kmers,
kmer_counts_reads=kmer_counts_reads,
unit_seq=unit_seq)
write_bio_seqs(params.output, {'DXZ1*': new_unit})
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--ncrf", help="Input NCRF", required=True)
parser.add_argument("--seq", help="Input sequence", required=True)
parser.add_argument("--buf",
help="Buffer on the sides to include",
type=int,
default=20)
parser.add_argument("--outdir", help="Output dir", required=True)
params = parser.parse_args()
smart_makedirs(params.outdir)
ncrf_report = NCRF_Report(params.ncrf)
input_seq = read_bio_seq(params.seq)
all_mas = ncrf_report.get_motif_alignments()
for seq_id, mas in all_mas.items():
record = ncrf_report.records[seq_id]
units = {}
coords = {}
al_start = record.r_st
alignment = record.r_al.replace('-', '')
start = 0
for ma in mas:
ma_st = ma.start
ma_en = ma.end
seq_al = record.r_al[ma_st:ma_en]
seq = seq_al.replace('-', '')
end = start + len(seq)
seq_st = input_seq[al_start + start - params.buf:al_start + start]
seq_en = input_seq[al_start + end:end + al_start + params.buf]
seq = seq_st + seq + seq_en
ma_id = f'{seq_id}|st_{start + al_start}|en_{end - 1 + al_start}'
units[ma_id] = seq
coords[ma_id] = (start + al_start, end + al_start)
# print(input_seq[start+al_start:end+al_start])
# print(seq[params.buf:-params.buf])
assert input_seq[start + al_start - len(seq_st):end + al_start +
len(seq_en)] == seq
start = end
outfile = os.path.join(params.outdir, f'{seq_id}.fasta')
write_bio_seqs(outfile, units)
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--reads",
help="Path to centromeric reads in fasta format",
required=True)
parser.add_argument("--repeat",
help="Path to the unit sequence",
required=True)
parser.add_argument("-t",
"--threads",
help="Number of threads",
type=int,
default=30)
parser.add_argument("-o",
"--outdir",
help="Output directory",
required=True)
parser.add_argument("--ncrf-bin",
help="Path to binary of NCRF",
default='NCRF')
params = parser.parse_args()
smart_makedirs(params.outdir)
repeat = read_bio_seq(params.repeat)
reads = read_bio_seqs(params.reads)
reads_split = chunks2(list(reads.keys()), params.threads)
reads_chunks_fn = {}
for i in range(len(reads_split)):
reads_chunk = {k: reads[k] for k in reads_split[i]}
outdir = os.path.join(params.outdir, 'split_reads')
smart_makedirs(outdir)
reads_fn = os.path.join(outdir, f'split_reads_{i}.fasta')
reads_chunks_fn[i] = reads_fn
write_bio_seqs(reads_fn, reads_chunk)
ps = []
ncrf_reports_fn = []
for i, fn in reads_chunks_fn.items():
outdir = os.path.join(params.outdir, 'ncrf_report')
smart_makedirs(outdir)
ncrf_report_fn = os.path.join(outdir, f'report_{i}.ncrf')
with open(ncrf_report_fn, 'w') as f:
p1 = Popen(['cat', fn], stdout=PIPE)
p2 = Popen([params.ncrf_bin, f'unit:{repeat}'],
stdin=p1.stdout,
stdout=f)
ps.append(p2)
ncrf_reports_fn.append(ncrf_report_fn)
for p in ps:
p.wait()
final_report_fn = os.path.join(params.outdir, 'report.ncrf')
with open(final_report_fn, 'w') as f:
cmd1 = ['cat'] + ncrf_reports_fn
p1 = Popen(cmd1, stdout=PIPE)
cmd2 = f"grep -v -E end-of-file".split(' ')
p2 = Popen(cmd2, stdin=p1.stdout, stdout=f)
p2.wait()
cmd = f'sed -i s/unit/{repeat}/g {final_report_fn}'
call(cmd.split(' '))
def polish(scaffolds,
pseudounits,
read_pseudounits,
reads,
monomers,
outdir,
n_iter,
n_threads,
flye_bin='flye'):
def get_template(scaffold, st, en):
return ''.join(monomers[m_id] for m_id in scaffold[st:en + 1])
monomers = {
m_id[0]: monomer
for m_id, monomer in monomers.items() if m_id[-1] != "'"
}
smart_makedirs(outdir)
for i, (scaffold,
scaf_pseudounits) in enumerate(zip(scaffolds, pseudounits)):
scaf_outdir = os.path.join(outdir, f'scaffold_{i}')
smart_makedirs(scaf_outdir)
polished_scaffold = []
for j, (s_st, s_en) in enumerate(scaf_pseudounits):
pseudounit_outdir = os.path.join(scaf_outdir, f'pseudounit_{j}')
smart_makedirs(pseudounit_outdir)
# template = get_template(scaffold, s_st, s_en)
# template_id = f'scaffold_{i}_template_{j}_{scaffold[s_st:s_en+1]}'
# write_bio_seqs(template_fn, {template_id: template})
pseudounit_reads = {}
for r_id, (r_st, r_en, strand) in read_pseudounits[i][j].items():
read_segm_id = f's_{i}_t_{j}_{r_id[0]}_{r_st}_{r_en+1}'
pseudounit_read = reads[r_id[0]][r_st:r_en + 1]
if strand == '-':
pseudounit_read = RC(pseudounit_read)
pseudounit_reads[read_segm_id] = pseudounit_read
reads_fn = os.path.join(pseudounit_outdir, 'reads.fasta')
write_bio_seqs(reads_fn, pseudounit_reads)
template_fn = os.path.join(pseudounit_outdir, 'template.fasta')
template_id, template_read = "", None
r_units_lens = [len(read) for read in pseudounit_reads.values()]
med_len = statistics.median_high(r_units_lens)
for r_id in sorted(pseudounit_reads.keys()):
read = pseudounit_reads[r_id]
if len(read) == med_len:
template_id = r_id
template_read = read
break
assert len(pseudounit_reads[template_id]) == med_len
assert len(template_read) == med_len
write_bio_seqs(template_fn, {template_id: template_read})
cmd = [
flye_bin, '--nano-raw', reads_fn, '--polish-target',
template_fn, '-i', n_iter, '-t', n_threads, '-o',
pseudounit_outdir
]
cmd = [str(x) for x in cmd]
print(' '.join(cmd))
subprocess.check_call(cmd)
try:
polished_pseudounit_fn = \
os.path.join(pseudounit_outdir,
f'polished_{n_iter}.fasta')
polished_pseudounit = read_bio_seq(polished_pseudounit_fn)
polished_scaffold.append(polished_pseudounit)
except FileNotFoundError:
polished_scaffold.append(template)
polished_scaffold = ''.join(polished_scaffold)
polished_scaffold_fn = os.path.join(scaf_outdir, f'scaffold_{i}.fasta')
write_bio_seqs(polished_scaffold_fn,
{f'scaffold_{i}_niter_{n_iter}': polished_scaffold})
