def save(self):
seqlist = self.cleaned_data['seqlist']
for seqstring in seqlist.split('\n'):
import string
import re
inputtable = re.sub('[%s%s%s]' % (string.whitespace,string.punctuation,string.digits), '', seqstring)
if(Sequence.objects.filter(seq = inputtable, user = self.user).exists()):
continue
computeSeq = comp.Sequence(inputtable)
from django.utils import timezone
newSequence = Sequence(seq = computeSeq.seq,
tag = self.cleaned_data['tag'],
user = self.user,
submissionDate = timezone.now(),
seqProc = False,)
newSequence.save()
newSeqData = Sequence_seqdata(seq = newSequence,
N = computeSeq.len,
fplus = computeSeq.Fplus(),
fminus = computeSeq.Fminus(),
FCR = computeSeq.FCR(),
NCPR = computeSeq.NCPR(),
meanH = computeSeq.meanHydropathy(),
sigma = computeSeq.sigma(),
delta = computeSeq.delta(),
dmax = computeSeq.deltaMax(),
kappa = computeSeq.kappa())
newSeqData.save()
newSequence.seqProc = True
newSequence.save()
def save(self):
seqstring = self.cleaned_data['seq']
computeSeq = comp.Sequence(seqstring)
from django.utils import timezone
newSequence = Sequence(seq = seqstring,
tag = self.cleaned_data['tag'],
user = self.user,
submissionDate = timezone.now(),
seqProc = False,
jobProc = False,)
newSequence.save()
newSeqData = Sequence_seqdata(seq = newSequence,
fplus = round(computeSeq.Fplus(),5),
fminus = round(computeSeq.Fminus(),5),
FCR = round(computeSeq.FCR(),5),
NCPR = round(computeSeq.NCPR(),5),
meanH = round(computeSeq.meanHydropathy(),5),
sigma = round(computeSeq.sigma(),5),
delta = round(computeSeq.delta(),5),
dmax = round(computeSeq.deltaMax(),5),
kappa = round(computeSeq.kappa(),5))
newSeqData.save()
newSequence.seqProc = True
newSequence.save()
return self.user
