fixup
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55
meta_data_analysis/surface_res3.py
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55
meta_data_analysis/surface_res3.py
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#!/usr/bin/python
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# Surface calculation
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#
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from pylab import *
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from Bio.SeqUtils import ProtParamData
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from Bio.SeqUtils.ProtParam import ProteinAnalysis
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from Bio import SeqIO
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from Bio.Alphabet.IUPAC import IUPACProtein
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import pprint as pp
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import pandas as pd
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import numpy as np
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infile='/home/tanu/git/Data/pyrazinamide/input/original/3pl1.fasta.txt'
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window=9
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offset=round((window/2)-0.5)
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fh = open(infile)
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for record in SeqIO.parse(fh, "fasta"):
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id = record.id
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seq = record.seq
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num_residues = len(seq)
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fh.close()
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sequence = str(seq)
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X = ProteinAnalysis(sequence)
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values=(X.protein_scale(ProtParamData.kd,window))
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print('Sequence Length:', num_residues)
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print('Post-Analysis Length:',len(values))
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print('Window Length:',window)
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print('Window Offset:',offset)
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dfSeq=pd.DataFrame({'seq':list(sequence)})
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dfVals=pd.DataFrame({'values':values})
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# FIXME:
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# These need to be offset by 'offset' from the start and finish
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# so that the sequence letters line up with the value calculated
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df=pd.concat([dfSeq,dfVals], ignore_index=True, axis=1)
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print(df)
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#df=pd.DataFrame(list(sequence), values)
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#plot(185, values, linewidth=1.0)
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#axis(xmin = 1, xmax = num_residues)
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#xlabel("Residue Number")
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#ylabel("Hydrophobicity")
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#title("K&D Hydrophobicity for " + id)
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#show()
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