Mercurial > repos > mheinzl > fsd_regions
annotate fsd_regions.py @ 0:b82fdb006304 draft
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
author | mheinzl |
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date | Thu, 10 May 2018 07:28:39 -0400 |
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children | 9ce2b4089c1b |
rev | line source |
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0
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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1 #!/usr/bin/env python |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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2 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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3 # Family size distribution of tags which were aligned to the reference genome |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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4 # |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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5 # Author: Monika Heinzl, Johannes-Kepler University Linz (Austria) |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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6 # Contact: monika.heinzl@edumail.at |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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7 # |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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8 # Takes at least one TABULAR file with tags before the alignment to the SSCS |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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9 # and a TXT with tags of reads that overlap the regions of the reference genome as input. |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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10 # The program produces a plot which shows the distribution of family sizes of the tags from the input files and |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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11 # a CSV file with the data of the plot. |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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12 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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13 # USAGE: python FSD_regions_1.6_FINAL.py --inputFile filenameSSCS --inputName1 filenameSSCS --ref_genome filenameRefGenome --sep "characterWhichSeparatesCSVFile" --output_csv outptufile_name_csv --output_pdf outptufile_name_pdf |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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14 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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15 import numpy |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
mheinzl
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16 import matplotlib.pyplot as plt |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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17 import argparse |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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18 import sys |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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19 import os |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
mheinzl
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20 from matplotlib.backends.backend_pdf import PdfPages |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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21 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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22 def readFileReferenceFree(file, delim): |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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23 with open(file, 'r') as dest_f: |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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24 data_array = numpy.genfromtxt(dest_f, skip_header=0, delimiter=delim, comments='#', dtype='string') |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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25 return(data_array) |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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26 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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27 def make_argparser(): |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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28 parser = argparse.ArgumentParser(description='Family Size Distribution of tags which were aligned to regions of the reference genome') |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
mheinzl
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29 parser.add_argument('--inputFile', |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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30 help='Tabular File with three columns: ab or ba, tag and family size.') |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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31 parser.add_argument('--inputName1') |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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32 parser.add_argument('--ref_genome', |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
mheinzl
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33 help='TXT File with tags of reads that overlap the region.') |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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34 parser.add_argument('--output_csv', default="data.csv", type=str, |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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35 help='Name of the pdf and csv file.') |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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36 parser.add_argument('--output_pdf', default="data.pdf", type=str, |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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37 help='Name of the pdf and csv file.') |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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38 parser.add_argument('--sep', default=",", |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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39 help='Separator in the csv file.') |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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40 return parser |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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41 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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42 def compare_read_families_refGenome(argv): |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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43 parser = make_argparser() |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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44 args = parser.parse_args(argv[1:]) |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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45 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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46 firstFile = args.inputFile |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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47 name1 = args.inputName1 |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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48 name1 = name1.split(".tabular")[0] |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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49 refGenome = args.ref_genome |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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50 title_file = args.output_pdf |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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51 title_file2 = args.output_csv |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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52 sep = args.sep |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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53 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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54 if type(sep) is not str or len(sep) > 1: |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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55 print("Error: --sep must be a single character.") |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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56 exit(3) |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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57 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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58 with open(title_file2, "w") as output_file, PdfPages(title_file) as pdf: |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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59 data_array = readFileReferenceFree(firstFile, "\t") |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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60 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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61 mut_array = readFileReferenceFree(refGenome, " ") |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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62 length_regions = len(mut_array) |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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63 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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64 seq = numpy.array(data_array[:, 1]) |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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65 tags = numpy.array(data_array[:, 2]) |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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66 quant = numpy.array(data_array[:, 0]).astype(int) |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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67 group = numpy.array(mut_array[:, 0]) |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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68 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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69 all_ab = seq[numpy.where(tags == "ab")[0]] |
b82fdb006304
planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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70 all_ba = seq[numpy.where(tags == "ba")[0]] |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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71 quant_ab = quant[numpy.where(tags == "ab")[0]] |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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72 quant_ba = quant[numpy.where(tags == "ba")[0]] |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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73 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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74 seqDic_ab = dict(zip(all_ab, quant_ab)) |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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75 seqDic_ba = dict(zip(all_ba, quant_ba)) |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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76 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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77 seq_mut = numpy.array(mut_array[:, 1]) |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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78 |
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planemo upload for repository https://github.com/monikaheinzl/galaxyProject/tree/master/tools/fsd_regions commit 6055f8c5c052f528ff85fb5e0d43b4500830637a
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79 groupUnique, group_index = numpy.unique(group, return_index=True) |
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80 groupUnique = groupUnique[numpy.argsort(group_index)] |
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81 |
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82 lst_ab = [] |
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83 for i in seq_mut: |
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84 lst_ab.append(seqDic_ab.get(i)) |
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85 |
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86 lst_ba = [] |
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87 for i in seq_mut: |
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88 lst_ba.append(seqDic_ba.get(i)) |
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89 |
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90 quant_ab = numpy.array(lst_ab) |
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91 quant_ba = numpy.array(lst_ba) |
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92 |
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93 quantAfterRegion = [] |
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94 for i in groupUnique: |
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95 dataAB = quant_ab[numpy.where(group == i)[0]] |
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96 dataBA = quant_ba[numpy.where(group == i)[0]] |
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97 bigFamilies = numpy.where(dataAB > 20)[0] |
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98 dataAB[bigFamilies] = 22 |
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99 bigFamilies = numpy.where(dataBA > 20)[0] |
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100 dataBA[bigFamilies] = 22 |
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101 |
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102 quantAll = numpy.concatenate((dataAB, dataBA)) |
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103 quantAfterRegion.append(quantAll) |
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104 |
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105 maximumX = numpy.amax(numpy.concatenate(quantAfterRegion)) |
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106 minimumX = numpy.amin(numpy.concatenate(quantAfterRegion)) |
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107 |
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108 ### PLOT ### |
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109 plt.rc('figure', figsize=(11.69, 8.27)) # A4 format |
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110 plt.rcParams['axes.facecolor'] = "E0E0E0" # grey background color |
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111 plt.rcParams['xtick.labelsize'] = 12 |
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112 plt.rcParams['ytick.labelsize'] = 12 |
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113 plt.rcParams['patch.edgecolor'] = "black" |
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114 fig = plt.figure() |
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115 plt.subplots_adjust(bottom=0.3) |
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116 |
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117 colors = ["#6E6E6E", "#0431B4", "#5FB404", "#B40431", "#F4FA58", "#DF7401", "#81DAF5"] |
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118 |
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119 col = [] |
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120 for i in range(0, len(groupUnique)): |
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121 col.append(colors[i]) |
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122 |
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123 counts = plt.hist(quantAfterRegion, bins=range(minimumX, maximumX + 1), stacked=False, label=groupUnique, |
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124 align="left", alpha=1, color=col, edgecolor="black", linewidth=1) |
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125 ticks = numpy.arange(minimumX - 1, maximumX, 1) |
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126 |
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127 ticks1 = map(str, ticks) |
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128 ticks1[len(ticks1) - 1] = ">20" |
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129 plt.xticks(numpy.array(ticks), ticks1) |
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130 count = numpy.bincount(map(int, quant_ab)) # original counts |
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131 |
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132 legend = "max. family size =\nabsolute frequency=\nrelative frequency=\n\ntotal nr. of reads=" |
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133 plt.text(0.15, 0.105, legend, size=11, transform=plt.gcf().transFigure) |
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134 |
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135 legend = "AB\n{}\n{}\n{:.5f}\n\n{:,}" \ |
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136 .format(max(map(int, quant_ab)), count[len(count) - 1], float(count[len(count) - 1]) / sum(count), |
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137 sum(numpy.array(data_array[:, 0]).astype(int))) |
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138 plt.text(0.35, 0.105, legend, size=11, transform=plt.gcf().transFigure) |
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139 |
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140 count2 = numpy.bincount(map(int, quant_ba)) # original counts |
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141 |
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142 legend = "BA\n{}\n{}\n{:.5f}" \ |
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143 .format(max(map(int, quant_ba)), count2[len(count2) - 1], float(count2[len(count2) - 1]) / sum(count2)) |
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144 plt.text(0.45, 0.15, legend, size=11, transform=plt.gcf().transFigure) |
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145 |
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146 legend1 = "total nr. of tags=" |
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147 legend2 = "total numbers * \n{:,}".format(length_regions) |
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148 plt.text(0.6, 0.2, legend1, size=11, transform=plt.gcf().transFigure) |
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149 plt.text(0.75, 0.2, legend2, size=11, transform=plt.gcf().transFigure) |
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150 legend4 = "* In the plot, both family sizes of the ab and ba strands were used.\nWhereas the total numbers indicate only the single count of the tags per region.\n" |
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151 plt.text(0.1, 0.02, legend4, size=11, transform=plt.gcf().transFigure) |
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152 |
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153 space = numpy.arange(0, len(groupUnique), 0.02) |
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154 for i, s, count in zip(groupUnique, space, quantAfterRegion): |
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155 plt.text(0.6, 0.05 + s, "{}=\n".format(i), size=11, transform=plt.gcf().transFigure) |
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156 plt.text(0.75, 0.05 + s, "{:,}\n".format(len(count) / 2), size=11, transform=plt.gcf().transFigure) |
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157 |
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158 plt.legend(loc='upper right', fontsize=14, bbox_to_anchor=(0.9, 1), frameon=True) |
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159 plt.title(name1, fontsize=14) |
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160 plt.xlabel("No. of Family Members", fontsize=12) |
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161 plt.ylabel("Absolute Frequency", fontsize=12) |
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162 plt.grid(b=True, which="major", color="#424242", linestyle=":") |
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163 plt.margins(0.01, None) |
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164 |
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165 # plt.savefig("{}_regions.pdf".format(title_file), bbox_inch="tight") |
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166 pdf.savefig(fig, bbox_inch="tight") |
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167 plt.close() |
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168 |
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169 output_file.write("Dataset:{}{}\n".format(sep, firstFile)) |
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170 output_file.write("{}AB{}BA\n".format(sep, sep)) |
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171 output_file.write("max. family size:{}{}{}{}\n".format(sep, max(map(int, quant_ab)), sep, max(map(int, quant_ba)))) |
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172 output_file.write("absolute frequency:{}{}{}{}\n".format(sep, count[len(count) - 1], sep, count2[len(count2) - 1])) |
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173 output_file.write("relative frequency:{}{:.3f}{}{:.3f}\n\n".format(sep, float(count[len(count) - 1]) / sum(count), sep, float(count2[len(count2) - 1]) / sum(count2))) |
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174 output_file.write("total nr. of reads{}{}\n".format(sep, sum(numpy.array(data_array[:, 0]).astype(int)))) |
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175 output_file.write("\n\nValues from family size distribution\n") |
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176 output_file.write("{}".format(sep)) |
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177 for i in groupUnique: |
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178 output_file.write("{}{}".format(i,sep)) |
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179 output_file.write("\n") |
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180 j=0 |
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181 for fs in counts[1][0:len(counts[1])-1]: |
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182 if fs == 21: |
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183 fs = ">20" |
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184 else: |
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185 fs = "={}".format(fs) |
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186 output_file.write("FS{}{}".format(fs,sep)) |
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187 for n in range(len(groupUnique)): |
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188 output_file.write("{}{}".format(int(counts[0][n][j]), sep)) |
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189 output_file.write("\n") |
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190 j+=1 |
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191 output_file.write("sum{}".format(sep)) |
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192 for i in counts[0]: |
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193 output_file.write("{}{}".format(int(sum(i)), sep)) |
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194 output_file.write("\n") |
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195 output_file.write("\n\nIn the plot, both family sizes of the ab and ba strands were used.\nWhereas the total numbers indicate only the single count of the tags per region.\n") |
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196 output_file.write("Region{}total nr. of tags per region\n".format(sep)) |
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197 for i, count in zip(groupUnique, quantAfterRegion): |
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198 output_file.write("{}{}{}\n".format(i,sep,len(count) / 2)) |
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199 output_file.write("sum of tags{}{}\n".format(sep,length_regions)) |
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200 |
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201 print("Files successfully created!") |
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202 #print("Files saved under {}.pdf and {}.csv in {}!".format(title_file, title_file, os.getcwd())) |
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203 |
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204 if __name__ == '__main__': |
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205 sys.exit(compare_read_families_refGenome(sys.argv)) |