def startUp( self ):
if self.isComplete(): return
if self.mAppend:
self.mProfileLibrary = ProfileLibrary.ProfileLibrary( self.mFilenameProfile + self.getSlice(),
"a" )
self.mContinueAt = self.mProfileLibrary.getLastInsertedKey()
self.info("processing will continue after %s" % (str( self.mContinueAt ) ) )
else:
self.mProfileLibrary = ProfileLibrary.ProfileLibrary( self.mFilenameProfile + self.getSlice(),
"w",
force=self.mForce )
# set default values
self.mProfileLibrary.setLogOddor( alignlib.makeLogOddorDirichlet( self.mScaleFactor ) )
self.mProfileLibrary.setRegularizor( alignlib.makeRegularizorDirichletPrecomputed() )
self.mProfileLibrary.setWeightor( alignlib.makeWeightor() )
alignlib.setDefaultEncoder( alignlib.getEncoder( alignlib.Protein20 ) )
def startUp(self):
if self.isComplete(): return
if self.mAppend:
self.mProfileLibrary = ProfileLibrary.ProfileLibrary(
self.mFilenameProfile + self.getSlice(), "a")
self.mContinueAt = self.mProfileLibrary.getLastInsertedKey()
self.info("processing will continue after %s" %
(str(self.mContinueAt)))
else:
self.mProfileLibrary = ProfileLibrary.ProfileLibrary(
self.mFilenameProfile + self.getSlice(),
"w",
force=self.mForce)
# set default values
self.mProfileLibrary.setLogOddor(
alignlib.makeLogOddorDirichlet(self.mScaleFactor))
self.mProfileLibrary.setRegularizor(
alignlib.makeRegularizorDirichletPrecomputed())
self.mProfileLibrary.setWeightor(alignlib.makeWeightor())
alignlib.setDefaultEncoder(alignlib.getEncoder(alignlib.Protein20))
def startUp( self ):
if self.isComplete(): return
###############################################
# create objects for algorithm
alignlib.getDefaultToolkit().setEncoder( alignlib.getEncoder( alignlib.Protein20 ) )
self.mLogOddor = alignlib.makeLogOddorDirichlet( self.mScaleFactor )
self.mRegularizor = alignlib.makeRegularizorDirichletPrecomputed()
self.mWeightor = alignlib.makeWeightor()
alignlib.getDefaultToolkit().setRegularizor( self.mRegularizor )
alignlib.getDefaultToolkit().setLogOddor( self.mLogOddor )
alignlib.getDefaultToolkit().setWeightor( self.mWeightor )
if self.mUsePrebuiltProfiles:
self.mProfileLibrary = ProfileLibrary.ProfileLibrary( self.mFilenameProfiles, "r" )
self.mProfileLibrary.setWeightor( self.mWeightor )
self.mProfileLibrary.setLogOddor( self.mLogOddor )
self.mProfileLibrary.setRegularizor( self.mRegularizor )
else:
self.mProfileLibrary = None
self.mIndexedNeighbours = cadda.IndexedNeighbours( self.mFilenameGraph, self.mFilenameIndex )
self.mChecker = self.checkLinkZScore
self.mHeader = ("qdomain",
"sdomain",
"weight",
"passed",
"qstart",
"qend",
"qali",
"sstart",
"send",
"sali",
"score",
"naligned",
"ngaps",
"zscore" )
self.mAlignator = alignlib.makeAlignatorDPFull( alignlib.ALIGNMENT_LOCAL,
self.mGop,
self.mGep )
# the cache to store alignandum objects
self.mCache = {}
alignlib.setDefaultEncoder( alignlib.getEncoder( alignlib.Protein20 ) )
## initialize counters
self.mNPassed, self.mNFailed, self.mNNotFound = 0, 0, 0
self.mOutfile = self.openOutputStream( self.mFilenameAlignments )
if self.mContinueAt == None:
self.mOutfile.write( "\t".join( self.mHeader ) + "\n" )
self.mOutfile.flush()
self.mStartTime = time.time()
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) )