def __init__(self, **kwargs):
self.LowDepCut = float(kwargs["low_dep_cut"])
self.CorrectWinLen = int(kwargs["correct_win_len"])
self.CorrectShiftLen = int(kwargs["correct_shift_len"])
chroms = SaveLoad(os.path.abspath(kwargs["chromstat"]))
s_chrom = str(kwargs["chrom"]).split(",") if kwargs["chrom"] else None
self.chrom_stat = chroms.load()
self.samples = sorted(self.chrom_stat.keys())
self.contigs = sorted(self.chrom_stat[self.samples[0]].keys(), key=lambda x: _chrom_valued(x))
if s_chrom is not None and len(s_chrom):
self.contigs = filter(lambda x: x in s_chrom, self.contigs)
self.indir = os.path.abspath(kwargs["indir"])
self.bed = dict()
regions = defaultdict(list)
bed = open(os.path.abspath(kwargs["region"]), 'r')
for line in bed:
if line.startswith("#"):
continue
rows = line.strip().split("\t")
if len(rows) < 3:
continue
chrom = str(rows[0])
if chrom not in self.contigs:
continue
start = int(rows[1])
stop = int(rows[2])
regions[chrom].extend(range(start, stop + 1))
for chrom in self.contigs:
self.bed[chrom] = sorted(regions[chrom])
def __init__(self, **kwargs):
self.LowDepCut = float(kwargs["low_dep_cut"])
self.CorrectWinLen = int(kwargs["correct_win_len"])
self.CorrectShiftLen = int(kwargs["correct_shift_len"])
chroms = SaveLoad(os.path.abspath(kwargs["chromstat"]))
s_chrom = str(kwargs["chrom"]).split(",") if kwargs["chrom"] else None
self.chrom_stat = chroms.load()
self.samples = sorted(self.chrom_stat.keys())
self.contigs = sorted(self.chrom_stat[self.samples[0]].keys(),
key=lambda x: _chrom_valued(x))
if s_chrom is not None and len(s_chrom):
self.contigs = filter(lambda x: x in s_chrom, self.contigs)
self.indir = os.path.abspath(kwargs["indir"])
self.bed = dict()
regions = defaultdict(list)
bed = open(os.path.abspath(kwargs["region"]), 'r')
for line in bed:
if line.startswith("#"):
continue
rows = line.strip().split("\t")
if len(rows) < 3:
continue
chrom = str(rows[0])
if chrom not in self.contigs:
continue
start = int(rows[1])
stop = int(rows[2])
regions[chrom].extend(range(start, stop + 1))
for chrom in self.contigs:
self.bed[chrom] = sorted(regions[chrom])
def bedAnalysis(**kwargs):
global pos_gc, win_gc
bed = os.path.abspath(kwargs["bed"])
reference = os.path.abspath(kwargs["reference"])
db = os.path.abspath(kwargs["db"])
outdir = os.path.abspath(kwargs["outdir"])
winlen = int(kwargs["winlen"]) if "winlen" in kwargs else 200
siftlen = int(kwargs["siftlen"]) if "siftlen" in kwargs else 20
depth_f = [os.path.abspath(i) for i in kwargs["depthfile"].split(",") if os.path.isfile(i)]
model = RegionAnalysis(reference, db)
bed_gc_out = SaveLoad(os.path.join(outdir, "win.gc"))
pos_gc_out = SaveLoad(os.path.join(outdir, "pos.gc"))
chrom_stat = SaveLoad(os.path.join(outdir, "chrom.stat"))
with smart_open(bed) as f_in:
for line in f_in:
rows = line.strip().split("\t")
chrom = str(rows[0])
if chrom not in pos_gc:
pos_gc[chrom] = dict()
start = int(rows[1])
stop = int(rows[2]) + 1
try:
model.analysis(chrom, start, stop, winlen, siftlen)
except ValueError:
continue
bed_gc_out.save(win_gc)
pos_gc_out.save(pos_gc)
chrom_stat.save(model.chrom_stat(depth_f))
model.__del__()
return bed_gc_out.fname, pos_gc_out.fname, chrom_stat.fname
def run(self, debug=False):
pool = Pool(
processes=cpu(use_mem=3221225472, cpu_limit=len(self.contigs)))
for chrom in self.contigs:
pool.apply_async(self.win_correct, args=(chrom, ))
pool.close()
pool.join()
for chrom in self.contigs:
cnvdata = dict()
nbarg = os.path.join(self.indir, "%s.nbinom.arg" % chrom)
if os.path.isfile(nbarg):
f_in = smart_open(nbarg)
trials, best_probability, devi = f_in.readline().strip().split(
"\t")
f_in.close()
if not debug:
os.remove(nbarg)
else:
continue
for sample in self.samples:
cnvdata[sample] = CNVdata()
cnvdata[sample].trials = int(trials)
cnvdata[sample].best_probability = float(best_probability)
cnvdata[sample].min_devi = float(devi)
cnvdata[sample].ploid = int(
self.chrom_stat[sample][chrom].ploid)
cnvdata[sample].regions = list()
cnvdata[sample].data = list()
dep_data = os.path.join(
self.indir, sample, "%s.W%dS%d.fixdep.gz" %
(chrom, self.CorrectWinLen, self.CorrectShiftLen))
if not os.path.isfile(dep_data):
continue
with smart_open(dep_data) as f_in:
for line in f_in:
if line.startswith("#"):
continue
chrom, start, stop, deps = line.strip().split("\t")
start = int(start)
stop = int(stop)
deps = int(deps)
cnvdata[sample].regions.append([chrom, start, stop])
cnvdata[sample].data.append(deps)
c_stat = SaveLoad(os.path.join(self.indir, "%s.cnv.args" % chrom))
c_stat.save(cnvdata)
def run(self, debug=False):
pool = Pool(processes=cpu(use_mem=3221225472, cpu_limit=len(self.contigs)))
for chrom in self.contigs:
pool.apply_async(self.win_correct, args=(chrom,))
pool.close()
pool.join()
for chrom in self.contigs:
cnvdata = dict()
nbarg = os.path.join(self.indir, "%s.nbinom.arg" % chrom)
if os.path.isfile(nbarg):
f_in = smart_open(nbarg)
trials, best_probability, devi = f_in.readline().strip().split("\t")
f_in.close()
if not debug:
os.remove(nbarg)
else:
continue
for sample in self.samples:
cnvdata[sample] = CNVdata()
cnvdata[sample].trials = int(trials)
cnvdata[sample].best_probability = float(best_probability)
cnvdata[sample].min_devi = float(devi)
cnvdata[sample].ploid = int(self.chrom_stat[sample][chrom].ploid)
cnvdata[sample].regions = list()
cnvdata[sample].data = list()
dep_data = os.path.join(self.indir, sample,
"%s.W%dS%d.fixdep.gz" % (chrom, self.CorrectWinLen, self.CorrectShiftLen))
if not os.path.isfile(dep_data):
continue
with smart_open(dep_data) as f_in:
for line in f_in:
if line.startswith("#"):
continue
chrom, start, stop, deps = line.strip().split("\t")
start = int(start)
stop = int(stop)
deps = int(deps)
cnvdata[sample].regions.append([chrom, start, stop])
cnvdata[sample].data.append(deps)
c_stat = SaveLoad(os.path.join(self.indir, "%s.cnv.args" % chrom))
c_stat.save(cnvdata)
def __init__(self, **kwargs):
self.outdir = os.path.abspath(kwargs["indir"])
self.win_len = int(kwargs["correct_win_len"]) or 30
self.shift_len = int(kwargs["correct_shift_len"]) or 25
self.contral_wins = int(100.0 / self.shift_len + 0.5) + 1
chroms = str(kwargs["chrom"]).split(",") if kwargs["chrom"] else None
samples = str(kwargs["sample"]).split(",") if kwargs["sample"] else None
all_samples = set()
contigs = list()
self.cnvdata = defaultdict(dict)
self.sample_win_data = defaultdict(dict)
for cnv_data in glob(os.path.join(self.outdir, "chr*.cnv.args")):
chrom = ".".join(os.path.basename(cnv_data).split(".")[0:-2])
if chroms is not None and chrom not in chroms:
continue
cnvdata = SaveLoad(cnv_data)
cnvdata = cnvdata.load()
contigs.append(chrom)
for sample in cnvdata.keys():
dep_f = os.path.join(self.outdir, sample, "%s.W%iS%i.fixdep.gz" % (chrom, self.win_len, self.shift_len))
if os.path.isfile(dep_f) and os.path.isfile(dep_f + '.tbi'):
self.sample_win_data[chrom][sample] = dep_f
if samples is not None and sample not in samples:
continue
all_samples.add(sample)
self.cnvdata[sample][chrom] = cnvdata[sample]
self.samples = sorted(all_samples)
self.contigs = sorted(contigs, key=lambda x: _chrom_valued(x))
databases = os.path.abspath(kwargs["dbdir"])
t_db = os.path.abspath(kwargs["transdb"]) if "transdb" in kwargs else os.path.join(databases, "transdb",
"ncbi_anno_rel104.dbref.db")
for db in glob(os.path.join(databases, "*", "*.cnvdb.config")):
db = os.path.abspath(db)
dbname = os.path.basename(os.path.dirname(db))
_AnnotationDB[dbname].add(db)
self.reference = os.path.abspath(kwargs["reference"]) if kwargs["reference"] else \
os.path.join(databases, 'aln_db/hg19/hg19_chM_male_mask.fa')
self.DBAnno = CNVAnnotation(self.reference, _AnnotationDB)
self.HGVS = HGVS(t_db)
def gc_correct(**kwargs):
depthf = os.path.abspath(kwargs["input"])
if not os.path.isfile(depthf) or not os.path.isfile(depthf + '.tbi'):
return
sample = str(kwargs['sample']) if kwargs['sample'] else os.path.basename(depthf).split(".")[0]
outdir = os.path.join(os.path.abspath(kwargs['outdir']), sample)
if not os.path.exists(outdir):
os.makedirs(outdir)
out = os.path.join(outdir, "%s.Fixdep.tsv" % sample)
wins = SaveLoad(os.path.abspath(kwargs["wingc"]))
wingc = wins.load()
poss = SaveLoad(os.path.abspath(kwargs["posgc"]))
posgc = poss.load()
chroms = SaveLoad(os.path.abspath(kwargs["chromstat"]))
chrom_stat = chroms.load()
f_out = smart_open(out, 'w')
f_out.writelines("#Chrom\tPos\tFixDepth\n")
gc_depth = list()
dep_f = pysam.TabixFile(depthf)
for rows, gc_content in sorted(wingc.iteritems(), key=lambda x: (_chrom_valued(x[0][0]), x[0][1])):
chrom = rows[0]
start = rows[1]
stop = rows[2] - 1
if chrom not in chrom_stat[sample] or chrom_stat[sample][chrom] < 1:
continue
try:
depths = [int(line.strip().split("\t")[-1]) for line in dep_f.fetch(chrom, start, stop)]
win_mean_dep = min(sum(depths) / float(len(depths)), 6.0 * chrom_stat[sample][chrom].average)
win_mean_dep *= 2.0 / chrom_stat[sample][chrom].ploid
except Exception:
win_mean_dep = 0.0
gc_depth.append([gc_content, win_mean_dep])
gc_depth = DescribeArray(gc_depth, col=1)
gcdep = gc_depth.array[gc_depth.array[:, 1] > 0.05 * gc_depth.median]
prd = unique_rows(lowess(gcdep[:, 1], gcdep[:, 0], frac=0.25))
mdp = np.median(prd[:, 1])
if mdp <= 0.0:
raise ValueError("Sample %s depth file Error !" % depthf)
lgc = gcl = max(10000, int(prd[:, 0].max() * 10000))
loe = [-0.0001, ] * gcl
gcj = 0
for gc, dp in prd:
gcj = int(round(gc, 4) * 10000)
if gcj < gcl:
gcl = gcj
loe[gcj] = mdp / float(dp) if dp > 0 else 1.0
for gc in xrange(gcl):
loe[gc] = min(loe[gcl], 10.0)
for i in xrange(gcl + 1, gcj):
if loe[i] < 0:
ls = i - 1
lv = loe[i - 1]
rs = i + 1
while loe[rs] < 0 and rs < len(loe):
rs += 1
rv = loe[rs]
loe[i] = min((lv + (rs - float(ls)) * rv) / (rs - float(ls) + 1.0), 10.0)
for i in xrange(gcj + 1, lgc):
loe[i] = min(loe[gcj], 10.0)
for line in dep_f.fetch():
rows = line.strip().split("\t")
chrom = str(rows[0])
pos = int(rows[1])
deps = int(rows[-1])
try:
fixdeps = int(deps * loe[int(round(posgc[chrom][pos], 4) * 10000)])
except KeyError:
continue
f_out.writelines("\t".join(map(str, [chrom, pos, fixdeps])) + '\n')
f_out.close()
dep_f.close()
_ = pysam.tabix_index(out, seq_col=0, start_col=1, end_col=1, force=True)
def gc_correct(**kwargs):
depthf = os.path.abspath(kwargs["input"])
if not os.path.isfile(depthf) or not os.path.isfile(depthf + '.tbi'):
return
sample = str(kwargs['sample']) if kwargs['sample'] else os.path.basename(
depthf).split(".")[0]
outdir = os.path.join(os.path.abspath(kwargs['outdir']), sample)
if not os.path.exists(outdir):
os.makedirs(outdir)
out = os.path.join(outdir, "%s.Fixdep.tsv" % sample)
wins = SaveLoad(os.path.abspath(kwargs["wingc"]))
wingc = wins.load()
poss = SaveLoad(os.path.abspath(kwargs["posgc"]))
posgc = poss.load()
chroms = SaveLoad(os.path.abspath(kwargs["chromstat"]))
chrom_stat = chroms.load()
f_out = smart_open(out, 'w')
f_out.writelines("#Chrom\tPos\tFixDepth\n")
gc_depth = list()
dep_f = pysam.TabixFile(depthf)
for rows, gc_content in sorted(wingc.iteritems(),
key=lambda x:
(_chrom_valued(x[0][0]), x[0][1])):
chrom = rows[0]
start = rows[1]
stop = rows[2] - 1
if chrom not in chrom_stat[sample] or chrom_stat[sample][chrom] < 1:
continue
try:
depths = [
int(line.strip().split("\t")[-1])
for line in dep_f.fetch(chrom, start, stop)
]
win_mean_dep = min(
sum(depths) / float(len(depths)),
6.0 * chrom_stat[sample][chrom].average)
win_mean_dep *= 2.0 / chrom_stat[sample][chrom].ploid
except Exception:
win_mean_dep = 0.0
gc_depth.append([gc_content, win_mean_dep])
gc_depth = DescribeArray(gc_depth, col=1)
gcdep = gc_depth.array[gc_depth.array[:, 1] > 0.05 * gc_depth.median]
prd = unique_rows(lowess(gcdep[:, 1], gcdep[:, 0], frac=0.25))
mdp = np.median(prd[:, 1])
if mdp <= 0.0:
raise ValueError("Sample %s depth file Error !" % depthf)
lgc = gcl = max(10000, int(prd[:, 0].max() * 10000))
loe = [
-0.0001,
] * gcl
gcj = 0
for gc, dp in prd:
gcj = int(round(gc, 4) * 10000)
if gcj < gcl:
gcl = gcj
loe[gcj] = mdp / float(dp) if dp > 0 else 1.0
for gc in xrange(gcl):
loe[gc] = min(loe[gcl], 10.0)
for i in xrange(gcl + 1, gcj):
if loe[i] < 0:
ls = i - 1
lv = loe[i - 1]
rs = i + 1
while loe[rs] < 0 and rs < len(loe):
rs += 1
rv = loe[rs]
loe[i] = min((lv + (rs - float(ls)) * rv) / (rs - float(ls) + 1.0),
10.0)
for i in xrange(gcj + 1, lgc):
loe[i] = min(loe[gcj], 10.0)
for line in dep_f.fetch():
rows = line.strip().split("\t")
chrom = str(rows[0])
pos = int(rows[1])
deps = int(rows[-1])
try:
fixdeps = int(deps * loe[int(round(posgc[chrom][pos], 4) * 10000)])
except KeyError:
continue
f_out.writelines("\t".join(map(str, [chrom, pos, fixdeps])) + '\n')
f_out.close()
dep_f.close()
_ = pysam.tabix_index(out, seq_col=0, start_col=1, end_col=1, force=True)
def bedAnalysis(**kwargs):
global pos_gc, win_gc
bed = os.path.abspath(kwargs["bed"])
reference = os.path.abspath(kwargs["reference"])
db = os.path.abspath(kwargs["db"])
outdir = os.path.abspath(kwargs["outdir"])
winlen = int(kwargs["winlen"]) if "winlen" in kwargs else 200
siftlen = int(kwargs["siftlen"]) if "siftlen" in kwargs else 20
depth_f = [
os.path.abspath(i) for i in kwargs["depthfile"].split(",")
if os.path.isfile(i)
]
model = RegionAnalysis(reference, db)
bed_gc_out = SaveLoad(os.path.join(outdir, "win.gc"))
pos_gc_out = SaveLoad(os.path.join(outdir, "pos.gc"))
chrom_stat = SaveLoad(os.path.join(outdir, "chrom.stat"))
with smart_open(bed) as f_in:
for line in f_in:
rows = line.strip().split("\t")
chrom = str(rows[0])
if chrom not in pos_gc:
pos_gc[chrom] = dict()
start = int(rows[1])
stop = int(rows[2]) + 1
try:
model.analysis(chrom, start, stop, winlen, siftlen)
except ValueError:
continue
bed_gc_out.save(win_gc)
pos_gc_out.save(pos_gc)
chrom_stat.save(model.chrom_stat(depth_f))
model.__del__()
return bed_gc_out.fname, pos_gc_out.fname, chrom_stat.fname
