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dedup.py
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50 lines (41 loc) · 2.09 KB
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import sys
import getopt
import gzip
from classes import ConData, file_to_con_data, DupConData, hist_num_to_string
def dedup(argv):
# default parameters
min_separation = 1000
max_distance = 1000
# progress display parameters
display_max_num_dups = 10
# read arguments
try:
opts, args = getopt.getopt(argv[1:], "s:d:")
except getopt.GetoptError as err:
sys.stderr.write("[E::" + __name__ + "] unknown command\n")
return 1
if len(args) == 0:
sys.stderr.write("Usage: dip-c dedup [options] <in.con>\n")
sys.stderr.write("Options:\n")
sys.stderr.write(" -s INT min separation (bp) for intra-chromosomal contacts [" + str(min_separation) + "]\n")
sys.stderr.write(" -d INT max distance (bp, L-inf norm) for merging duplicates [" + str(max_distance) + "]\n")
return 1
for o, a in opts:
if o == "-s":
min_separation = int(a)
elif o == "-d":
max_distance = int(a)
# read CON file
con_file = gzip.open(args[0], "rb") if args[0].endswith(".gz") else open(args[0], "rb")
con_data = file_to_con_data(con_file)
sys.stderr.write("[M::" + __name__ + "] read " + str(con_data.num_cons()) + " putative contacts (" + str(round(100.0 * con_data.num_phased_legs() / con_data.num_cons() / 2, 2)) + "% legs phased)\n")
# dedup and clean
dup_con_data = DupConData(con_data)
dup_con_data.dedup(max_distance)
con_data.clean_separation(min_separation)
# show stats and output
sys.stderr.write("[M::" + __name__ + "] merged duplicates into " + str(dup_con_data.num_cons()) + " putative contacts (legs: " + str(round(100.0 * dup_con_data.num_phased_legs() / dup_con_data.num_cons() / 2, 2)) + "% phased, " + str(round(100.0 * dup_con_data.num_conflict_legs() / dup_con_data.num_cons() / 2, 2)) + "% conflict); statistics:\n")
sys.stderr.write("#dups\t#cons\n")
sys.stderr.write(hist_num_to_string(dup_con_data.dup_stats(display_max_num_dups)) + "\n")
sys.stdout.write(dup_con_data.to_string() + "\n")
return 0