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import os
import itertools
import math
from multiprocessing import Pool
from pybedtools import BedTool as bt
def calculate_jaccard_pairs(base_dir):
cutoff_folders = [d for d in os.listdir(base_dir) if (not d.startswith(".") and
os.path.isdir(os.path.join(base_dir, d)))]
all_jaccard_pair_index = []
for cutoff_folder in cutoff_folders:
print("processing", cutoff_folder)
cutoff_folder_path = os.path.join(base_dir, cutoff_folder)
bed_files = [f for f in os.listdir(cutoff_folder_path) if ".bed." in f]
distal_bed_files = [os.path.join(cutoff_folder_path, b) for b in bed_files if "_distal_" in b]
proximal_bed_files = [os.path.join(cutoff_folder_path, b) for b in bed_files if "_proximal_" in b]
all_pairs = list(itertools.combinations(distal_bed_files, 2)) + \
list(itertools.combinations(proximal_bed_files, 2))
pool = Pool()
result_pool = pool.map_async(calculate_jaccard_index, all_pairs)
results = result_pool.get()
return all_jaccard_pair_index
def calculate_jaccard_index(file_paths):
file_one, file_two = sorted(file_paths)
bed_file_one = bt(file_one)
bed_file_two = bt(file_two)
jaccard = bed_file_one.jaccard(bed_file_two)
jaccard_index = jaccard['jaccard']
if math.isnan(jaccard_index):
jaccard_index = -1 # Jaccard index values range between 0 and 1 (inclusive), so NaN will be represented by -1
proxdis = file_one.split("_")[-2]
cutoff = file_one.split("_")[-1]
return file_one.split("/")[-1], file_two.split("/")[-1], proxdis, cutoff, str(jaccard_index)
if __name__ == "__main__":
base_dir = "test"
all_jaccard_pairs = calculate_jaccard_pairs(base_dir)
with open("all_jaccard_pairs.csv", "w") as f:
f.write("\n".join([",".join(p) for p in all_jaccard_pairs]))
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