def main():
"""
Collapse beta file to blocks binary file, of the same beta format
"""
args = parse_args()
files = args.input_files
validate_file_list(files, '.beta')
validate_out_dir(args.out_dir)
if not args.force:
files = filter_existing_files(files, args.out_dir, args.lbeta)
# load blocks:
# b2b_log('load blocks...')
df = load_blocks_file(args.blocks_file)
is_nice, msg = is_block_file_nice(df)
if not is_nice:
b2b_log(msg)
p = Pool(args.threads)
params = [(b, df, is_nice, args.lbeta, args.out_dir, args.bedGraph)
for b in files]
arr = p.starmap(collapse_process, params)
p.close()
p.join()
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 main():
"""
Plot histogram of reads lengths (in sites) of pat file
Output to stdout the histogram values if requested
"""
args = parse_args()
validate_file_list(args.pat_paths, '.pat.gz')
multi_FragLen(args)
def main():
"""
Convert bed[.gz] file[s] to beta file[s].
bed file should be of the format (tab-separated):
chr start end #meth #total
"""
args = parse_args()
validate_file_list(args.bed_paths)
bed2betas(args)
def main():
"""
Mix samples from K different pat files.
Output a single mixed pat.gz[.csi] file - sorted, bgzipped and indexed -
with an informative name.
"""
args = parse_args()
validate_file_list(args.pat_files, 'pat.gz', 2)
mult_mix(args)
return
def main():
"""
Compare between pairs of beta files, by plotting a 2d histogram
for every pair.
Drop sites with low coverage (< cov_thresh argument),
for performance and robustness.
"""
args = parse_args()
validate_file_list(args.betas, '.beta', min_len=2)
compare_all_paires(args)
def main(args):
validate_file_list(args.input_files, '.pat.gz')
# drop duplicated files, while keeping original order
input_files = drop_dup_keep_order(args.input_files)
gr = GenomicRegion(args)
print(gr)
for pat_file in input_files:
print(splitextgz(op.basename(pat_file))[0]) # print file name
PatVis(args, pat_file).print_results()
def main():
"""
Convert beta file[s] to Illumina-450K format.
Output: a csv file with ~480K rows, for the ~480K Illumina sites,
and with columns corresponding to the beta files.
all values are in range [0, 1], or NA.
Only works for hg19.
"""
args = parse_args()
validate_file_list(args.input_files, '.beta')
betas2csv(args)
def validate_args(self):
# validate integers
if self.min_cpg < 0:
raise IllegalArgumentError('min_cpg must be non negative')
if self.max_cpg < 1:
raise IllegalArgumentError('max_cpg must larger than 0')
if self.min_bp < 0:
raise IllegalArgumentError('min_bp must be non negative')
if self.max_bp < 2:
raise IllegalArgumentError('max_bp must larger than 1')
if self.chunk_size < 1:
raise IllegalArgumentError('chunk_size must larger than 1')
# validate the [0.0, 1.0] fractions
for key in ('na_rate_tg', 'na_rate_bg', 'delta', 'tg_quant', \
'bg_quant', 'unmeth_thresh', 'meth_thresh', \
'unmeth_mean_thresh', 'meth_mean_thresh'):
if not (1.0 >= getattr(self, key) >= 0):
eprint(
f'Invalid value for {key} ({val}): must be in ({low}, {high})'
)
raise IllegalArgumentError()
# validate hyper hypo:
if self.only_hyper and self.only_hypo:
eprint(f'at most one of (only_hyper, only_hypo) can be specified')
raise IllegalArgumentError()
# validate input files
for key in ('blocks_path', 'groups_file'):
val = getattr(self, key)
if val is None:
eprint(f'[wt fm] missing required parameter: {key}')
raise IllegalArgumentError()
validate_single_file(val)
# change path to absolute path
setattr(self, key, op.abspath(val))
# validate betas
if (self.betas is None and self.beta_list_file is None) or \
(self.betas is not None and self.beta_list_file is not None):
eprint(
f'[wt fm] Exactly one of the following must be specified: betas, beta_list_file'
)
raise IllegalArgumentError()
if self.beta_list_file:
validate_single_file(self.beta_list_file)
with open(self.beta_list_file, 'r') as f:
self.betas = [l.strip() for l in f.readlines()]
validate_file_list(self.betas)
def main():
"""
Convert beta file[s] to bigwig file[s].
Assuming bedGraphToBigWig is installed and in PATH
"""
args = parse_args()
validate_file_list(args.beta_paths, '.beta')
if not check_executable('bedGraphToBigWig', verbose=True):
return
b = BetaToBigWig(args)
for beta in args.beta_paths:
b.run_beta_to_bw(beta)
def groups_load_wrap(groups_file, betas):
if groups_file is not None:
validate_single_file(groups_file)
validate_file_list(betas)
gf = load_gfile_helper(groups_file)
else:
# otherwise, generate dummy group file for all binary files in input_dir
# first drop duplicated files, while keeping original order
betas = drop_dup_keep_order(betas.copy())
fnames = [op.splitext(op.basename(b))[0] for b in betas]
gf = pd.DataFrame(columns=['fname'], data=fnames)
gf['group'] = gf['fname']
gf['full_path'] = match_prefix_to_bin(gf['fname'], betas, '.beta')
return gf
def merge_betas(betas, opath):
"""
Merge all betas by summing their values element-wise, while keeping the dimensions
:param betas: list of beta files
:param opath: merged beta file
"""
validate_file_list(betas, force_suff='.beta')
data = load_beta_data(betas[0]).astype(np.int)
for b in betas[1:]:
data += load_beta_data(b)
# Trim / normalize to range [0, 256)
data = trim_to_uint8(data)
# Dump
data.tofile(opath)
return data
def parse_betas_input(args):
"""
parse user input to get the list of beta files to segment
Either args.betas is a list of beta files,
or args.beta_file is a text file in which each line is a beta file
return: list of beta files
"""
if args.betas:
betas = args.betas
elif args.beta_file:
validate_single_file(args.beta_file)
with open(args.beta_file, 'r') as f:
betas = [
b.strip() for b in f.readlines()
if b.strip() and not b.startswith('#')
]
if not betas:
raise IllegalArgumentError(
f'no beta files found in file {args.beta_file}')
validate_file_list(betas)
return betas
def __init__(self, pats, outpath, labels, args):
self.args = args
self.pats = pats
validate_file_list(self.pats, force_suff='.pat.gz')
self.outpath = outpath
self.labels = labels
def main(args):
validate_file_list(args.input_files) #, '.beta')
try:
BetaVis(args)
except BrokenPipeError:
catch_BrokenPipeError()
def load_group_file(groups_file, betas):
validate_single_file(groups_file)
validate_file_list(betas)
gf = load_gfile_helper(groups_file)
gf['full_path'] = match_prefix_to_bin(gf['fname'], betas, '.beta')
return gf
