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#!/usr/bin/env python |
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# -*- coding: utf-8 -*- |
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""" |
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""" |
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from __future__ import print_function |
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import argparse |
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import glob |
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View Code Duplication |
def get_parser(): |
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parser = argparse.ArgumentParser( |
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description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) |
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#parser.add_argument('-', "--", help="", default="") |
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parser.add_argument("-v", "--verbose", |
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action="store_true", help="be verbose") |
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parser.add_argument("-d", "--debug", |
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action="store_true", help="be verbose") |
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parser.add_argument("seq", help="")#, nargs='+') |
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parser.add_argument("--edge", help="e.g., cWW_cHS") |
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return parser |
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def hr(t): |
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l = len(t) |
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half = int(l/2) |
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print('-' * (40 - half) + ' ' + t + ' ' + '-' * (40 - half)) |
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def fopen(filename, verbose=0): |
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import subprocess |
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cmd = 'mdfind -name "' + filename + '"' |
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if verbose: |
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print(cmd) |
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out = subprocess.Popen(cmd, stdout=subprocess.PIPE, shell=True).stdout.read().decode() |
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first_hit = out.split('\n')[0] |
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return open(first_hit) |
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if __name__ == '__main__': |
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parser = get_parser() |
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args = parser.parse_args() |
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edge = args.edge |
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seq = args.seq |
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import pandas as pd |
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df = pd.read_csv("../triples/triple-db.csv") |
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triple = edge + '_' + seq |
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x = df[df['triple'] == triple] |
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r3 = fopen('Triple_' + edge + '_' + seq + '_rpr.pdb.3dcnn.csv').read() |
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print(triple + ':', round(int(x['instances']) / 18, 2), r3.split(',')[1].strip()) |
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mmagnus /
rna-tools
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