Mercurial > repos > jay > pdaug_peptide_length_distribution
annotate PDAUG_Uversky_Plot/PDAUG_Uversky_Plot.py @ 0:3f9bdcf83244 draft
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
author | jay |
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date | Wed, 28 Oct 2020 02:02:04 +0000 |
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3f9bdcf83244
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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1 import matplotlib |
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2 matplotlib.use('Agg') |
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3 import os |
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4 import sys |
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5 sys.path.insert(0, os.path.abspath('..')) |
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6 from quantiprot.utils.io import load_fasta_file |
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7 from quantiprot.utils.feature import Feature, FeatureSet |
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8 from quantiprot.utils.sequence import compact |
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9 from quantiprot.metrics.aaindex import get_aa2charge, get_aa2hydropathy |
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"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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10 from quantiprot.metrics.basic import average, average_absolute |
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"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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11 from matplotlib import pyplot as plt |
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12 |
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13 |
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14 |
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15 def Run_Uverskey(Fasta1, Fasta2, OutFile): |
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16 |
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17 |
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18 amyload_seq = load_fasta_file(Fasta1) |
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19 disprot_seq = load_fasta_file(Fasta2) |
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20 |
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21 net_abs_charge = Feature(get_aa2charge(default=0)).then(average_absolute) |
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22 mean_hydropathy = Feature(get_aa2hydropathy(default=0)).then(average) |
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23 |
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24 uversky_fs = FeatureSet("uversky") |
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25 uversky_fs.add(mean_hydropathy, name="mean_hydropathy") |
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"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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26 uversky_fs.add(net_abs_charge, name="net_abs_charge") |
3f9bdcf83244
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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27 |
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28 amyload_uversky_seq = uversky_fs(amyload_seq) |
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"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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29 disprot_uversky_seq = uversky_fs(disprot_seq) |
3f9bdcf83244
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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30 |
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31 |
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"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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32 amyload_data_x = amyload_uversky_seq.columns(feature="mean_hydropathy")[0] |
3f9bdcf83244
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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33 amyload_data_y = amyload_uversky_seq.columns(feature="net_abs_charge")[0] |
3f9bdcf83244
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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34 plt.plot(amyload_data_x, amyload_data_y,'.', label="Amyload") |
3f9bdcf83244
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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35 |
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36 disprot_data = compact(disprot_uversky_seq).columns() |
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37 plt.plot(disprot_data[0], disprot_data[1],'.', label="Disprot") |
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38 |
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39 plt.plot([-0.78, 0.835], [0.0, 0.5],'k') |
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40 plt.xlabel("mean hydrophobicity") |
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41 plt.ylabel("net abs charge") |
3f9bdcf83244
"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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42 plt.legend() |
3f9bdcf83244
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43 |
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44 plt.savefig(OutFile) |
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48 if __name__=="__main__": |
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49 |
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50 import argparse |
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51 |
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52 parser = argparse.ArgumentParser() |
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53 parser.add_argument("-f1", "--Fasta1", required=True, default=None, help="pep file") |
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54 parser.add_argument("-f2", "--Fasta2", required=True, default=None, help="out put file name for str Descriptors") |
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55 parser.add_argument("--OutFile", required=False, help="HTML out file", default="out.png") |
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"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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59 args = parser.parse_args() |
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"planemo upload for repository https://github.com/jaidevjoshi83/pdaug commit a9bd83f6a1afa6338cb6e4358b63ebff5bed155e"
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61 Run_Uverskey(args.Fasta1, args.Fasta2, args.OutFile) |