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import os | ||
import sys | ||
from DCJ import DCJ | ||
from random import choice, randint | ||
from copy import deepcopy | ||
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class CircDCJ(DCJ): | ||
#def __init__ (self, s): | ||
#g = DCJ(s) | ||
#if not g.circular(): | ||
#print "Warning:", g, "not circular" | ||
#self = self.circularize(g) | ||
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def median (self, g1, g2, g3, errors=0): # pomocou median solvera | ||
""" | ||
Use BIOMedian solver to find median of g1, g2, and g3. | ||
BIOMedian solves the median problem for multicircular DCJ model, | ||
however, the input genomes have to be circular. | ||
""" | ||
if not (g1.circular() and g2.circular() and g3.circular()): | ||
print g1 | ||
print g2 | ||
print g3 | ||
raise TypeError("The input genomes are not circular") | ||
r = str(randint(0,99999)) | ||
inf = "input" + r | ||
outf = "input" + r + ".rst" | ||
f = open (inf, 'w') | ||
f.write('> Genome 1\n') | ||
f.write('C: ' + g1.__str__()[:-2] + '\n') | ||
f.write('> Genome 2\n') | ||
f.write('C: ' + g2.__str__()[:-2] + '\n') | ||
f.write('> Genome 3\n') | ||
f.write('C: ' + g3.__str__()[:-2] + '\n') | ||
f.close() | ||
#print g1 | ||
#print g2 | ||
#print g3 | ||
os.system('java -cp ms/BIO BIOMedian '+inf+' >> /dev/null') | ||
f = open (outf, 'r') | ||
s = '' | ||
for line in f: | ||
if line[0] == '>': continue | ||
if line[0] == '#': break | ||
pos = line.find(':') | ||
s += line[pos + 1:] + ' @ ' | ||
f.close() | ||
os.system('rm '+inf) | ||
os.system('rm '+outf) | ||
print '.', | ||
M = DCJ(s) | ||
if self.n != M.n: | ||
if errors == 3: | ||
#TODO: najlepsie odchytit exception a vypisat historiu | ||
#sys.exit() | ||
return [g1, g2, g3] | ||
else: | ||
print "BIO ERROR" | ||
return self.median_solver(g1, g2, g3, errors+1) | ||
r = self.circularize(M) | ||
return [r,] | ||
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def circularize (self, g): | ||
""" | ||
Returns a set of circular genomes close to the genome. | ||
""" | ||
L, C = g.numch() | ||
if L == 0 and C == 1: return CircDCJ(g._g) | ||
while L > 0: | ||
h = g.rand_neigh() | ||
while h.numlin() >= L: | ||
h = g.rand_neigh() | ||
g = h | ||
L = g.numlin() | ||
while C > 1: | ||
h = g.rand_neigh() | ||
while h.numcirc() >= C: | ||
h = g.rand_neigh() | ||
g = h | ||
C = g.numcirc() | ||
return CircDCJ(h._g) | ||
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def circularize2 (self): | ||
""" | ||
Returns a set of circular genomes close to the genome. | ||
""" | ||
print self | ||
L, C = self.numch() | ||
if L == 0 and C == 1: return # [self, ] | ||
while L > 0: | ||
h = self.rand_neigh() | ||
while h.numlin() >= L: | ||
h = self.rand_neigh() | ||
self = h | ||
L = self.numlin() | ||
print self | ||
while C > 1: | ||
h = self.rand_neigh() | ||
while h.numcirc() >= C: | ||
h = self.rand_neigh() | ||
self = h | ||
C = self.numcirc() | ||
print self | ||
print "vysledok:", self | ||
#return [CircDCJ(h._self)] | ||
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def rand_neigh(self): | ||
g = DCJ(self._g) | ||
h = g.rand_neigh() | ||
#while not h.circular(): | ||
#h = g.rand_neigh() | ||
return CircDCJ(h._g) | ||
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def neigh(self): | ||
c = [] | ||
for i in xrange(0, self.n): | ||
if self._g[i] > i: | ||
for j in xrange(i + 1, self.n): | ||
if self._g[j] > j: | ||
u = deepcopy(self) | ||
u.swap (i, self._g[i], j, self._g[j]) | ||
if u.circular(): | ||
c.append(u) | ||
return c | ||
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def betterer_neigh (self, z): | ||
g = DCJ(self._g) | ||
z = [DCJ(g._g) for g in z] | ||
neigh = g.betterer_neigh(z) | ||
if len(neigh) == 0: | ||
print '-----' | ||
print z[0] | ||
print z[1] | ||
print z[2] | ||
return [self.circularize(h) for h in neigh] |
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from LinRev import LinRev | ||
from DCJ import DCJ | ||
import os | ||
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class CircRev(LinRev): | ||
def __init__ (self, s): | ||
if isinstance(s, str): | ||
self.set (s) | ||
else: | ||
self.n = len(s) | ||
self._g = s | ||
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def set (self, s): | ||
s = s.split() | ||
if s[-1] != '@': | ||
raise TypeError("The input genome is not circular") | ||
s.pop() | ||
s = [int(x) for x in s] | ||
n = len(s) | ||
for i in xrange(0,n): | ||
if s[i] == n or s[i] == -n: | ||
break | ||
if s[i] == n: | ||
s = s[i+1:n] + s[0:i] | ||
else: | ||
l1, l2 = s[0:i], s[i+1:n] | ||
l1.reverse() | ||
l2.reverse() | ||
s = l1 + l2 | ||
s = [-x for x in s] | ||
#print s | ||
self.n = n-1 | ||
self.g, self.s, check = [0], [True], (self.n + 1) * [False] | ||
for x in s: | ||
self.s.append(x > 0) | ||
x = abs(x) | ||
if not (0 < x < n): print 'mimo' | ||
if check[x]: print 'uz bolo...' | ||
check[x] = True | ||
self.g.append(x) | ||
self.g.append (self.n + 1) | ||
self.s.append (True) | ||
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def __len__ (self): return self.n+1 | ||
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def __str__ (self): | ||
return self.toString() + ' @' | ||
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def toString (self): | ||
return " ".join([('' if self.s[i] else '-') + str(self.g[i]) for i in xrange(1, self.n+1)]) + ' ' + str(self.n+1) | ||
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def numch (self): | ||
return (1, 0) | ||
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def dist2 (self, B): | ||
f = open ('input', 'w') | ||
print >>f, '> g' | ||
print >>f, self.toString() | ||
print >>f, '> h' | ||
print >>f, B.toString() | ||
f.close() | ||
os.system('rm output') | ||
os.system('./grimm -f input -o output -Cd') | ||
f = open ('output', 'r') | ||
for l in f: | ||
if l[:18] == 'Reversal Distance:': | ||
f.close() | ||
return int(l[19:]) | ||
raise Error("grimm") | ||
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def better_neigh (self, z): | ||
g = DCJ(self.g) | ||
z = [DCJ(g.__str__()) for g in z] | ||
return [CircRev(h.__str__()) for h in g.betterer_neigh(z) if h.circular()] |
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