def getAlignandum( self, nid ):
"""get the alignandum object for an nid."""
if self.mCache:
if nid not in self.mCache:
if self.mProfileLibrary:
a = self.mProfileLibrary.getProfile(nid)
else:
a = self.getProfile( nid )
self.mCache[nid] = a
a.prepare()
if self.mMask: self.mask( nid, a)
else:
a = self.mCache[nid]
else:
try:
if self.mProfileLibrary:
a = alignlib.makeProfile( self.mProfileBuilder.getMali( neighbours ) )
else:
a = self.getProfile( nid )
except KeyError:
self.warn( "profile for sequence %s not found." % str(nid))
return None
a.prepare()
if self.mMask: self.mask( nid, a)
if self.mLogLevel >= 5:
E.debug( "alignandum for rep %s\n%s" % ( nid, str(a) ) )
return a
def getProfile( self, nid ):
"""build a profile for nid."""
neighbours = self.mIndexedNeighbours.getNeighbours( nid )
mali = self.mProfileBuilder.buildMali( nid, neighbours )
return alignlib.makeProfile( mali )
def _buildProfile(nid, start, end):
neighbours = index.getNeighbours(nid)
mali = align.buildMali(nid, neighbours)
prof = alignlib.makeProfile(mali)
E.info("nid: %i, neighours=%i" % (nid, len(neighbours)))
prof.useSegment(start, end)
prof.prepare()
seq = fasta.getSequence(nid)
return alignlib.makeSequence(seq), prof
def _buildProfile(nid, start, end):
neighbours = index.getNeighbours(nid)
mali = align.buildMali(nid, neighbours)
prof = alignlib.makeProfile(mali)
E.info("nid: %i, neighours=%i" % (nid, len(neighbours)))
prof.useSegment(start, end)
prof.prepare()
seq = fasta.getSequence(nid)
return alignlib.makeSequence(seq), prof
def applyMethod(self, neighbours):
"""output the graph.
If mMergeRepeats is set, consecutive links are merged.
Links are consecutive if they are adjacent both in the
query and in the sbjct.
This ensures that 1:many repeats are not merged, but will
cover alignments split by transmembrane regions.
"""
if self.mContinueAt:
if neighbours.mQueryToken == self.mContinueAt:
self.info("continuing processing at %s" %
str(self.mContinueAt))
self.mContinueAt = None
return
query_nid = neighbours.mQueryToken
self.debug("working on profile %s with %i neighbours" %
(query_nid, len(neighbours.mMatches)))
mali = self.buildMali(query_nid, neighbours.mMatches)
self.debug("built mali for %s with %i neighbours" %
(query_nid, len(neighbours.mMatches)))
profile = alignlib.makeProfile(mali)
self.debug("built profile for %s with %i neighbours" %
(query_nid, len(neighbours.mMatches)))
profile.setStorageType(alignlib.Sparse)
if self.mPrepareProfile:
profile.prepare()
self.debug("prepared profile for %s with %i neighbours" %
(query_nid, len(neighbours.mMatches)))
self.mProfileLibrary.add(query_nid, profile)
self.debug("saved profile for %s with %i neighbours" %
(query_nid, len(neighbours.mMatches)))
def create( self, infile ):
"""create profile library from file."""
self.mOutfileDatabase = open( self.mFilenameProfiles, "wb" )
outfile_index = open( self.mFilenameIndex, "w" )
ninput, noutput = 0, 0
while mali.readFromFile( sys.stdin, format="profile" ):
ninput += 1
m = Mali.convertMali2Alignlib( mali )
p = alignlib.makeProfile( m )
p.prepare()
self.add( mali.getName(), p )
noutput += 1
return ninput, noutput
def verify( self, infile ):
"""verify data in database against original data."""
if not self.mIndex: self.__loadIndex()
ninput, nfound, nnotfound, ndifferent = 0,0,0,0
while mali.readFromFile( sys.stdin, format="profile" ):
ninput += 1
m = Mali.convertMali2Alignlib( mali )
p1 = alignlib.makeProfile( m )
p1.prepare()
p2 = self.getProfile( mali.getName() )
if p1.getLength() != p2.getLength() or \
str(p1) != str(p2):
ndifferent += 1
continue
nfound += 1
return ninput, nfound, nnotfound, ndifferent
def applyMethod(self, neighbours ):
"""output the graph.
If mMergeRepeats is set, consecutive links are merged.
Links are consecutive if they are adjacent both in the
query and in the sbjct.
This ensures that 1:many repeats are not merged, but will
cover alignments split by transmembrane regions.
"""
if self.mContinueAt:
if neighbours.mQueryToken == self.mContinueAt:
self.info("continuing processing at %s" % str(self.mContinueAt ) )
self.mContinueAt = None
return
query_nid = neighbours.mQueryToken
self.debug( "working on profile %s with %i neighbours" % (query_nid, len(neighbours.mMatches) ) )
mali = self.buildMali( query_nid, neighbours.mMatches )
self.debug( "built mali for %s with %i neighbours" % (query_nid, len(neighbours.mMatches) ) )
profile = alignlib.makeProfile( mali )
self.debug( "built profile for %s with %i neighbours" % (query_nid, len(neighbours.mMatches) ) )
profile.setStorageType( alignlib.Sparse )
if self.mPrepareProfile:
profile.prepare()
self.debug( "prepared profile for %s with %i neighbours" % (query_nid, len(neighbours.mMatches) ) )
self.mProfileLibrary.add( query_nid, profile )
self.debug( "saved profile for %s with %i neighbours" % (query_nid, len(neighbours.mMatches) ) )
def main():
parser = optparse.OptionParser(version="%prog version: $Id$", usage=USAGE)
parser.add_option(
"--method",
dest="method",
type="choice",
choices=("view", "align", "pileup", "profile"),
help="method to perform [default=%default].",
)
parser.add_option(
"--mode", dest="mode", type="choice", choices=("global", "local"), help="alignment mode [default=%default]."
)
parser.add_option("--gop", dest="gop", type="float", help="gap opening penalty [default=%default].")
parser.add_option("--gep", dest="gep", type="float", help="gap extension penalty [default=%default].")
parser.set_defaults(
filename_graph="adda.graph",
filename_index="adda.graph.idx",
method="view",
filename_fasta="adda",
filename_config="adda.ini",
append=False,
force=False,
mode="local",
gop=-10.0,
gep=-1.0,
)
(options, args) = E.Start(parser)
config = AddaIO.ConfigParser()
config.read(os.path.expanduser(options.filename_config))
index = cadda.IndexedNeighbours(options.filename_graph, options.filename_index)
alignlib.getDefaultToolkit().setEncoder(alignlib.getEncoder(alignlib.Protein20))
alignlib.getDefaultToolkit().setRegularizor(alignlib.makeRegularizorDirichletPrecomputed())
alignlib.getDefaultToolkit().setLogOddor(alignlib.makeLogOddorDirichlet(0.3))
alignlib.getDefaultToolkit().setWeightor(alignlib.makeWeightor())
fasta = IndexedFasta.IndexedFasta(options.filename_fasta)
align = AddaProfiles.AddaProfiles(config, fasta=fasta)
if options.method == "view":
for nid in args:
nid = int(args[0])
neighbours = index.getNeighbours(nid)
for n in neighbours:
print str(n)
elif options.method == "pileup":
if "_" in args[0]:
nid, start, end = AddaIO.toTuple(args[0])
else:
nid = int(args[0])
start, end = None, None
neighbours = index.getNeighbours(nid)
mali = align.buildMali(nid, neighbours)
options.stdout.write("%s\n" % str(mali))
elif options.method == "profile":
if "_" in args[0]:
nid, start, end = AddaIO.toTuple(args[0])
else:
nid = int(args[0])
start, end = None, None
neighbours = index.getNeighbours(nid)
mali = align.buildMali(nid, neighbours)
prof = alignlib.makeProfile(mali)
E.info("nid: %i, neighours=%i" % (nid, len(neighbours)))
if start != None:
prof.useSegment(start, end)
prof.prepare()
options.stdout.write("%s\n" % str(prof))
elif options.method == "align":
nid1, start1, end1 = AddaIO.toTuple(args[0])
nid2, start2, end2 = AddaIO.toTuple(args[1])
align = AddaProfiles.AddaProfiles(config, fasta=fasta)
if options.mode == "local":
mode = alignlib.ALIGNMENT_LOCAL
else:
mode = alignlib.ALIGNMENT_GLOBAL
alignator = alignlib.makeAlignatorDPFull(mode, options.gop, options.gep)
def _buildProfile(nid, start, end):
neighbours = index.getNeighbours(nid)
mali = align.buildMali(nid, neighbours)
prof = alignlib.makeProfile(mali)
E.info("nid: %i, neighours=%i" % (nid, len(neighbours)))
prof.useSegment(start, end)
prof.prepare()
seq = fasta.getSequence(nid)
return alignlib.makeSequence(seq), prof
seq1, prof1 = _buildProfile(nid1, start1, end1)
seq2, prof2 = _buildProfile(nid2, start2, end2)
result = alignlib.makeAlignmentVector()
alignator.align(result, prof1, prof2)
E.debug("%s\n" % str(result))
options.stdout.write(
"%s vs %s: score=%5.2f, length=%i, numgaps=%i, row_from=%i, row_to=%i, col_from=%i, col_to=%i\n"
% (
nid1,
nid2,
result.getScore(),
result.getLength(),
result.getNumGaps(),
result.getRowFrom(),
result.getRowTo(),
result.getColFrom(),
result.getColTo(),
)
)
f = alignlib.AlignmentFormatExplicit(result, seq1, seq2)
options.stdout.write("%s\n" % str(f))
E.Stop()
def main( argv = None ):
"""script main.
parses command line options in sys.argv, unless *argv* is given.
"""
if not argv: argv = sys.argv
# setup command line parser
parser = E.OptionParser( version = "%prog version: $Id: cgat_script_template.py 2871 2010-03-03 10:20:44Z andreas $",
usage = globals()["__doc__"] )
parser.add_option("-o", "--gop", dest="gop", type="float",
help="gap opening penalty [default=%default]." )
parser.add_option("-e", "--gep", dest="gep", type="float",
help="gap extension penalty [default=%default]." )
parser.add_option("-m", "--mode", dest="mode", type="choice",
choices = ("global", "local" ),
help="alignment mode, global=nw, local=sw [default=%default]." )
parser.set_defaults(
gop = -12.0,
gep = -2.0,
format= "fasta",
mode = "local",
)
## add common options (-h/--help, ...) and parse command line
(options, args) = E.Start( parser, argv = argv )
if len(args) != 2: raise ValueError("please supply two multiple alignments in FASTA format.")
mali1 = Mali.Mali()
mali2 = Mali.Mali()
E.info( "read 2 multiple alignments" )
mali1.readFromFile( IOTools.openFile( args[0], "r" ), format=options.format )
mali2.readFromFile( IOTools.openFile( args[1], "r" ), format=options.format )
cmali1 = Mali.convertMali2Alignlib( mali1 )
cmali2 = Mali.convertMali2Alignlib( mali2 )
if options.mode == "local":
mode = alignlib.ALIGNMENT_LOCAL
elif options.mode == "global":
mode = alignlib.ALIGNMENT_GLOBAL
alignator = alignlib.makeAlignatorDPFull( mode,
options.gop, options.gep )
alignlib.setDefaultEncoder( alignlib.getEncoder( alignlib.Protein20) )
alignlib.setDefaultLogOddor( alignlib.makeLogOddorDirichlet( 0.3 ) )
alignlib.setDefaultRegularizor( alignlib.makeRegularizorDirichletPrecomputed() )
cprofile1 = alignlib.makeProfile( cmali1 )
cprofile2 = alignlib.makeProfile( cmali2 )
result = alignlib.makeAlignmentVector()
alignator.align( result, cprofile1, cprofile2 )
E.debug( "result=\n%s" % alignlib.AlignmentFormatEmissions( result) )
cmali1.add( cmali2, result )
outmali = Mali.convertAlignlib2Mali( cmali1,
identifiers = mali1.getIdentifiers() + mali2.getIdentifiers() )
outmali.writeToFile( options.stdout, format=options.format)
## write footer and output benchmark information.
E.Stop()
def _alignToProfile(infile, outfile, min_score=0):
'''align sequences in *infile* against mali
Only alignments with a score higher than *min_score* are accepted.
Output multiple alignment in fasta format to *outfile* and a table
in :file:`outfile.log`.
'''
mali = Mali.Mali()
mali.readFromFile(open("../data/mouse.fasta"))
src_mali = Mali.convertMali2Alignlib(mali)
E.debug("read mali: %i sequences x %i columns" %
(mali.getNumSequences(), mali.getNumColumns()))
# add pseudocounts
profile_mali = mali.getClone()
n = profile_mali.getNumColumns()
for x in "ACGT":
for y in range(0, 2):
profile_mali.addSequence("%s%i" % (x, y), 0, n, x * n)
profile_mali = Mali.convertMali2Alignlib(profile_mali)
alignlib.setDefaultEncoder(alignlib.getEncoder(alignlib.DNA4))
alignlib.setDefaultLogOddor(alignlib.makeLogOddorUniform())
# bg = alignlib.FrequencyVector()
# bg.extend( ( 0.3, 0.1, 0.2, 0.2, 0.2) )
# alignlib.setDefaultRegularizor( alignlib.makeRegularizorTatusov(
# alignlib.makeSubstitutionMatrixDNA4(),
# bg,
# "ACGTN",
# 10.0, 1.0) )
profile = alignlib.makeProfile(profile_mali)
alignment_mode = alignlib.ALIGNMENT_WRAP
alignator = alignlib.makeAlignatorDPFull(alignment_mode, -5.0, -0.5)
map_seq2profile = alignlib.makeAlignmentVector()
map_rseq2profile = alignlib.makeAlignmentVector()
profile.prepare()
# print profile
build_mali = alignlib.makeMultAlignment()
m = alignlib.makeAlignmentVector()
m.addDiagonal(0, n, 0)
build_mali.add(src_mali, m)
outf = open(outfile, "w")
outf_log = open(outfile + ".info", "w")
outf_log.write(
"read_id\tlength\tstart\tend\tparts\tcovered\tpcovered\tscore\tmali_start\tmali_end\tmali_covered\tmali_pcovered\n"
)
sequences, aa = alignlib.StringVector(), alignlib.AlignandumVector()
ids = []
for pid in mali.getIdentifiers():
sequences.append(re.sub("-", "", mali[pid]))
ids.append(pid)
# print str(alignlib.MultAlignmentFormatPlain( build_mali, sequences ))
c = E.Counter()
for s in FastaIterator.FastaIterator(open(infile)):
E.debug("adding %s" % s.title)
c.input += 1
rsequence = Genomics.complement(s.sequence)
seq = alignlib.makeSequence(s.sequence)
rseq = alignlib.makeSequence(rsequence)
alignator.align(map_seq2profile, seq, profile)
alignator.align(map_rseq2profile, rseq, profile)
if map_seq2profile.getScore() > map_rseq2profile.getScore():
m, seq, sequence = map_seq2profile, seq, s.sequence
else:
m, seq, sequence = map_rseq2profile, rseq, rsequence
if m.getLength() == 0:
c.skipped += 1
continue
if m.getScore() < min_score:
c.skipped += 1
continue
r = getParts(m)
covered = 0
for mm in r:
build_mali.add(mm)
sequences.append(sequence)
ids.append(s.title)
covered += mm.getLength() - mm.getNumGaps()
mali_covered = m.getColTo() - m.getColFrom()
outf_log.write("\t".join(
map(str, (s.title, len(s.sequence), m.getRowFrom(), m.getRowTo(),
len(r), covered, "%5.2f" %
(100.0 * covered / len(s.sequence)), m.getScore(),
m.getColFrom(), m.getColTo(), mali_covered, "%5.2f" %
((100.0 * mali_covered) / mali.getNumColumns())))) +
"\n")
c.output += 1
#build_mali.expand( aa )
result = str(
alignlib.MultAlignmentFormatPlain(build_mali, sequences,
alignlib.UnalignedStacked))
for pid, data in zip(ids, result.split("\n")):
start, sequence, end = data.split("\t")
outf.write(">%s/%i-%i\n%s\n" %
(pid, int(start) + 1, int(end), sequence))
outf.close()
outf_log.close()
E.info("%s\n" % str(c))
def _alignToProfile( infile, outfile,
min_score = 0 ):
'''align sequences in *infile* against mali
Only alignments with a score higher than *min_score* are accepted.
Output multiple alignment in fasta format to *outfile* and a table
in :file:`outfile.log`.
'''
mali = Mali.Mali()
mali.readFromFile( open("../data/mouse.fasta") )
src_mali = Mali.convertMali2Alignlib( mali )
E.debug( "read mali: %i sequences x %i columns" % (mali.getNumSequences(), mali.getNumColumns() ))
# add pseudocounts
profile_mali = mali.getClone()
n = profile_mali.getNumColumns()
for x in "ACGT":
for y in range(0,2):
profile_mali.addSequence( "%s%i" % (x,y), 0, n, x * n )
profile_mali = Mali.convertMali2Alignlib( profile_mali )
alignlib.setDefaultEncoder( alignlib.getEncoder( alignlib.DNA4 ) )
alignlib.setDefaultLogOddor( alignlib.makeLogOddorUniform() )
# bg = alignlib.FrequencyVector()
# bg.extend( ( 0.3, 0.1, 0.2, 0.2, 0.2) )
# alignlib.setDefaultRegularizor( alignlib.makeRegularizorTatusov(
# alignlib.makeSubstitutionMatrixDNA4(),
# bg,
# "ACGTN",
# 10.0, 1.0) )
profile = alignlib.makeProfile( profile_mali )
alignment_mode = alignlib.ALIGNMENT_WRAP
alignator = alignlib.makeAlignatorDPFull( alignment_mode,
-5.0,
-0.5 )
map_seq2profile = alignlib.makeAlignmentVector()
map_rseq2profile = alignlib.makeAlignmentVector()
profile.prepare()
# print profile
build_mali = alignlib.makeMultAlignment()
m = alignlib.makeAlignmentVector()
m.addDiagonal( 0, n, 0 )
build_mali.add( src_mali, m )
outf = open( outfile, "w" )
outf_log = open( outfile + ".info", "w" )
outf_log.write( "read_id\tlength\tstart\tend\tparts\tcovered\tpcovered\tscore\tmali_start\tmali_end\tmali_covered\tmali_pcovered\n" )
sequences, aa = alignlib.StringVector(), alignlib.AlignandumVector()
ids = []
for pid in mali.getIdentifiers():
sequences.append( re.sub( "-", "", mali[pid] ) )
ids.append( pid )
# print str(alignlib.MultAlignmentFormatPlain( build_mali, sequences ))
c = E.Counter()
for s in FastaIterator.FastaIterator( open(infile)):
E.debug("adding %s" % s.title )
c.input += 1
rsequence = Genomics.complement(s.sequence)
seq = alignlib.makeSequence( s.sequence )
rseq = alignlib.makeSequence( rsequence )
alignator.align( map_seq2profile, seq, profile )
alignator.align( map_rseq2profile, rseq, profile )
if map_seq2profile.getScore() > map_rseq2profile.getScore():
m, seq, sequence = map_seq2profile, seq, s.sequence
else:
m, seq, sequence = map_rseq2profile, rseq, rsequence
if m.getLength() == 0:
c.skipped += 1
continue
if m.getScore() < min_score:
c.skipped += 1
continue
r = getParts( m )
covered = 0
for mm in r:
build_mali.add( mm )
sequences.append( sequence )
ids.append( s.title )
covered += mm.getLength() - mm.getNumGaps()
mali_covered = m.getColTo() - m.getColFrom()
outf_log.write( "\t".join( map(str, (
s.title,
len(s.sequence),
m.getRowFrom(),
m.getRowTo(),
len(r),
covered,
"%5.2f" % (100.0 * covered / len(s.sequence) ),
m.getScore(),
m.getColFrom(),
m.getColTo(),
mali_covered,
"%5.2f" % ((100.0 * mali_covered) / mali.getNumColumns())
) ) ) + "\n" )
c.output += 1
#build_mali.expand( aa )
result = str(alignlib.MultAlignmentFormatPlain( build_mali,
sequences,
alignlib.UnalignedStacked ))
for pid, data in zip(ids, result.split("\n") ):
start, sequence, end = data.split("\t")
outf.write(">%s/%i-%i\n%s\n" % (pid, int(start)+1, int(end), sequence) )
outf.close()
outf_log.close()
E.info( "%s\n" % str(c) )
def main():
parser = optparse.OptionParser(version="%prog version: $Id$", usage=USAGE)
parser.add_option("--method",
dest="method",
type="choice",
choices=("view", "align", "pileup", "profile"),
help="method to perform [default=%default].")
parser.add_option("--mode",
dest="mode",
type="choice",
choices=("global", "local"),
help="alignment mode [default=%default].")
parser.add_option("--gop",
dest="gop",
type="float",
help="gap opening penalty [default=%default].")
parser.add_option("--gep",
dest="gep",
type="float",
help="gap extension penalty [default=%default].")
parser.set_defaults(
filename_graph="adda.graph",
filename_index="adda.graph.idx",
method="view",
filename_fasta="adda",
filename_config="adda.ini",
append=False,
force=False,
mode="local",
gop=-10.0,
gep=-1.0,
)
(options, args) = E.Start(parser)
config = AddaIO.ConfigParser()
config.read(os.path.expanduser(options.filename_config))
index = cadda.IndexedNeighbours(options.filename_graph,
options.filename_index)
alignlib.getDefaultToolkit().setEncoder(
alignlib.getEncoder(alignlib.Protein20))
alignlib.getDefaultToolkit().setRegularizor(
alignlib.makeRegularizorDirichletPrecomputed())
alignlib.getDefaultToolkit().setLogOddor(
alignlib.makeLogOddorDirichlet(0.3))
alignlib.getDefaultToolkit().setWeightor(alignlib.makeWeightor())
fasta = IndexedFasta.IndexedFasta(options.filename_fasta)
align = AddaProfiles.AddaProfiles(config, fasta=fasta)
if options.method == "view":
for nid in args:
nid = int(args[0])
neighbours = index.getNeighbours(nid)
for n in neighbours:
print str(n)
elif options.method == "pileup":
if "_" in args[0]:
nid, start, end = AddaIO.toTuple(args[0])
else:
nid = int(args[0])
start, end = None, None
neighbours = index.getNeighbours(nid)
mali = align.buildMali(nid, neighbours)
options.stdout.write("%s\n" % str(mali))
elif options.method == "profile":
if "_" in args[0]:
nid, start, end = AddaIO.toTuple(args[0])
else:
nid = int(args[0])
start, end = None, None
neighbours = index.getNeighbours(nid)
mali = align.buildMali(nid, neighbours)
prof = alignlib.makeProfile(mali)
E.info("nid: %i, neighours=%i" % (nid, len(neighbours)))
if start != None:
prof.useSegment(start, end)
prof.prepare()
options.stdout.write("%s\n" % str(prof))
elif options.method == "align":
nid1, start1, end1 = AddaIO.toTuple(args[0])
nid2, start2, end2 = AddaIO.toTuple(args[1])
align = AddaProfiles.AddaProfiles(config, fasta=fasta)
if options.mode == "local":
mode = alignlib.ALIGNMENT_LOCAL
else:
mode = alignlib.ALIGNMENT_GLOBAL
alignator = alignlib.makeAlignatorDPFull(mode, options.gop,
options.gep)
def _buildProfile(nid, start, end):
neighbours = index.getNeighbours(nid)
mali = align.buildMali(nid, neighbours)
prof = alignlib.makeProfile(mali)
E.info("nid: %i, neighours=%i" % (nid, len(neighbours)))
prof.useSegment(start, end)
prof.prepare()
seq = fasta.getSequence(nid)
return alignlib.makeSequence(seq), prof
seq1, prof1 = _buildProfile(nid1, start1, end1)
seq2, prof2 = _buildProfile(nid2, start2, end2)
result = alignlib.makeAlignmentVector()
alignator.align(result, prof1, prof2)
E.debug("%s\n" % str(result))
options.stdout.write( "%s vs %s: score=%5.2f, length=%i, numgaps=%i, row_from=%i, row_to=%i, col_from=%i, col_to=%i\n" %\
(nid1, nid2,
result.getScore(),
result.getLength(),
result.getNumGaps(),
result.getRowFrom(), result.getRowTo(),
result.getColFrom(), result.getColTo()))
f = alignlib.AlignmentFormatExplicit(result, seq1, seq2)
options.stdout.write("%s\n" % str(f))
E.Stop()
