def main():
"""
Calculate the average coverage of one or more beta files.
Print the results.
"""
args = parse_args()
sites = GenomicRegion(args).sites
blocks_df = load_blocks_file(args.bed_file) if args.bed_file else None
params = [(beta, sites, blocks_df, False) for beta in args.betas]
# covs = [beta_cov(*p) for p in params]
# return
p = Pool(args.threads)
covs = p.starmap(beta_cov, params)
p.close()
p.join()
for cov, beta_path in zip(covs, args.betas):
print('{}\t{:.2f}'.format(pretty_name(beta_path), cov))
if args.plot:
plot_hist([pretty_name(b) for b in args.betas], covs)
def main():
"""
Generage homog files. Given a blocks file and pat[s],
count the number of U,X,M reads for each block for each file
"""
args = parse_args()
if args.nr_bits not in (8 , 16):
raise IllegalArgumentError('nr_bits must be in {8, 16}')
if args.rlen < 3:
raise IllegalArgumentError('rlen must be >= 3')
if args.thresholds is not None:
th = args.thresholds.split(',')
if not len(th) == 2: # and th[0].is_number():
raise IllegalArgumentError('Invalid thresholds')
th = float(th[0]), float(th[1])
if not (1 > th[1] > th[0] > 0):
raise IllegalArgumentError('Invalid thresholds')
# make sure homog tool is valid:
validate_local_exe(homog_tool)
pats = args.input_files
validate_file_list(pats, '.pat.gz')
outdir, prefix = parse_outdir_prefix(args)
# load blocks:
blocks_df = load_blocks_file(args.blocks_file)
is_nice, msg = is_block_file_nice(blocks_df)
if not is_nice:
homog_log(msg)
raise IllegalArgumentError(f'Invalid blocks file: {args.blocks_file}')
for pat in sorted(pats):
homog_process(pat, blocks_df, args, outdir, prefix)
def load_blocks(self):
# load blocks file and filter it by CpG and bg length
df = load_blocks_file(self.args.blocks_path)
orig_nr_blocks = df.shape[0]
# filter by lenCpG
df['lenCpG'] = df['endCpG'] - df['startCpG']
df = df[df['lenCpG'] >= self.args.min_cpg]
df = df[df['lenCpG'] <= self.args.max_cpg]
# filter by len in bp
df['len'] = df['end'] - df['start']
df = df[df['len'] >= self.args.min_bp]
df = df[df['len'] <= self.args.max_bp]
df.reset_index(drop=True, inplace=True)
# print stats
if self.verbose:
eprint(f'loaded {orig_nr_blocks:,} blocks')
if df.shape[0] != orig_nr_blocks:
eprint(f'droppd to {df.shape[0]:,} ')
return df
def break_to_chunks(self):
""" Break range of sites to chunks of size 'step',
while keeping chromosomes separated """
# print a warning in case chunk size is too small
step = self.args.chunk_size
if step < self.args.max_cpg:
msg = '[wt segment] WARNING: chunk_size is small compared to max_cpg and/or max_bp.\n' \
' It may cause wt segment to fail. It\'s best setting\n' \
' chunk_size > min{max_cpg, max_bp/2}'
eprint(msg)
if self.args.bed_file:
df = load_blocks_file(self.args.bed_file)[['startCpG',
'endCpG']].dropna()
# make sure bed file has no overlaps or duplicated regions
is_nice, msg = is_block_file_nice(df)
if not is_nice:
msg = '[wt segment] ERROR: invalid bed file.\n' \
f' {msg}\n' \
f' Try: sort -k1,1 -k2,2n {self.args.bed_file} | ' \
'bedtools merge -i - | wgbstools convert --drop_empty -p -L -'
eprint(msg)
raise IllegalArgumentError('Invalid bed file')
if df.shape[0] > 2 * 1e4:
msg = '[wt segment] WARNING: bed file contains many regions.\n' \
' Segmentation will take a long time.\n' \
f' Consider running w/o -L flag and intersect the results\n'
eprint(msg)
else: # No bed file provided
gr = GenomicRegion(self.args)
# whole genome - make a dummy "bed file" of the full chromosomes
if gr.is_whole():
cf = self.genome.get_chrom_cpg_size_table()
cf['endCpG'] = np.cumsum(cf['size']) + 1
cf['startCpG'] = cf['endCpG'] - cf['size']
df = cf[['startCpG', 'endCpG']]
# one region
else:
df = pd.DataFrame(columns=['startCpG', 'endCpG'],
data=[gr.sites])
# build a DataFrame of chunks, with a "tag"/label field,
# so we know which chunks to merge later on.
rf = pd.DataFrame()
tags = []
starts = []
ends = []
for ind, row in df.iterrows():
start, end = row
bords = list(range(start, end, step)) + [end]
tags += [f'{start}-{end}'] * (len(bords) - 1)
starts += bords[:-1]
ends += bords[1:]
return tags, starts, ends
def beta2table_generator(betas,
blocks,
groups_file,
min_cov,
threads,
chunk_size=None,
verbose=False):
validate_single_file(blocks)
gf = groups_load_wrap(groups_file, betas)
blocks_df = load_blocks_file(blocks)
if chunk_size is None:
chunk_size = blocks_df.shape[0]
for start in range(0, blocks_df.shape[0], chunk_size):
subset_blocks = blocks_df.iloc[start:start + chunk_size].copy()
yield get_table(subset_blocks, gf, min_cov, threads, verbose)
def __init__(self, args):
eprint('mixing...')
self.args = args
self.gr = GenomicRegion(args)
self.pats = args.pat_files
self.dest_cov = args.cov
self.bed = load_blocks_file(args.bed_file) if args.bed_file else None
self.stats = pd.DataFrame(
index=[splitextgz(op.basename(f))[0] for f in self.pats])
self.nr_pats = len(self.pats)
self.labels = self.validate_labels(args.labels)
self.dest_rates = self.validate_rates(args.rates)
self.covs = self.read_covs()
self.adj_rates = self.adjust_rates()
self.prefix = self.generate_prefix(args.out_dir, args.prefix)
def read_covs(self):
covs = []
for pat in self.pats:
suff = '.lbeta' if self.args.lbeta else '.beta'
beta = pat.replace('.pat.gz', suff)
if not op.isfile(beta):
eprint('No {} file compatible to {} was found. Generate it...'.
format(suff, pat))
pat2beta(pat, op.dirname(pat), args=self.args, force=True)
if self.bed is not None:
cov = beta_cov_by_bed(beta, self.bed)
elif self.args.bed_cov: # todo: this is messy. fix it. Better read coverage from pat file.
cov = beta_cov_by_bed(beta,
load_blocks_file(self.args.bed_cov))
else:
cov = beta_cov(beta, self.gr.sites, print_res=True)
covs.append(cov)
self.add_stats_col('OrigCov', covs)
return covs
def view_bed(pat, args):
# assume columns 4-5 of args.bed_file are startCpG, endCpG:
bpath = args.bed_file
# validate blocks file. If it's long, and starts with "chr1", use gunzip instead of tabix.
df = load_blocks_file(bpath, nrows=1e6)
if df.shape[0] == 1e6 and df.iloc[0, 0] in ('1', 'chr1'):
tabix_cmd = f'gunzip -c {pat} '
else:
# extended blocks:
tabix_cmd = 'gunzip -c' if bpath.endswith('.gz') else 'cat'
tabix_cmd += f' {bpath} | {cview_extend_blocks_script} | tabix -R - {pat} '
view_flags = set_view_flags(args)
cmd = tabix_cmd + f' | {cview_tool} {view_flags} --blocks_path {bpath}'
if args.sub_sample is not None: # sub-sample reads
validate_local_exe(pat_sampler)
cmd += f' | {pat_sampler} {args.sub_sample} '
cmd += f' | sort -k2,2n -k3,3 | {collapse_pat_script} - '
if args.out_path is not None:
cmd += f' > {args.out_path}'
subprocess_wrap_sigpipe(cmd)
def betas2table(betas, blocks, groups_file, min_cov, threads=8, verbose=False):
validate_single_file(blocks)
gf = groups_load_wrap(groups_file, betas)
blocks_df = load_blocks_file(blocks)
return get_table(blocks_df, gf, min_cov, threads, verbose)
