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1 #!/usr/bin/env python
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2
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3 ##interrogate umelt service at Univ of Utah
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4 import sys
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5 import urllib
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6 import urllib2
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7 import xml.etree.ElementTree as ET
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8 import numpy as np
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9 import scipy as sp
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10 from scipy import interpolate
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11 from scipy.interpolate import interp1d
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12
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13
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14 url='https://www.dna.utah.edu/db/services/cgi-bin/udesign.cgi'
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15 timeout_sec=500 ## default for timeout
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16
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17 # Query UW melt prediction service for a single sequence, returning default array for helicity, assuming within temperature range of 65-95
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18 def getmelt(input_seq):
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19 values = {'seq' : input_seq, 'rs':0, 'dmso':0,'cation': 20 ,'mg': 2} # Note the buffer conditions
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20 data = urllib.urlencode(values)
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21 req = urllib2.Request(url, data)
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22 try:
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23 response = urllib2.urlopen(req,timeout=timeout_sec)
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24 except urllib2.HTTPError, e:
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25 print 'The server couldn\'t fulfill the request.'
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26 print 'Error code: ', e.code
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27 except urllib2.URLError, e:
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28 print 'We failed to reach a server.'
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29 print 'Reason: ', e.reason
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30 else:
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31 melt_data = response.read()
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32 tree = ET.fromstring(melt_data)
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33 helicity = [amp.find('helicity').text.split() for amp in tree.findall('amplicon')]
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34 hels = np.array(helicity[0], dtype=np.float32).transpose()
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35 return hels
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36
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37 # helicity[0] used because the default retreived data is a list of 3 lists (for WT, mu and hets). The 3 lists are identical for our data (no IUPAC) so only [0] is used.
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38
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39 def getTm(hel_array):
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40 temps=np.arange(65,100.5,0.5) # Temperature range of 65-100.5. Step of 0.5 NEEDS TO BE CHECKED..REcent change?
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41 tck = interpolate.splrep(temps,hel_array,s=0)
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42 xnew =np.arange(65,95.5,0.05)
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43 yder = interpolate.splev(xnew,tck,der=1) # der=1, first derivative
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44 return xnew[yder.argmin()] # Returns the x value corresponding to the minimum (peak) y value -> Tm
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