/usr/lib/python2.7/dist-packages/pbcore/io/GffIO.py is in python-pbcore 1.2.11+dfsg-1.
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# Copyright (c) 2011-2015, Pacific Biosciences of California, Inc.
#
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright
# notice, this list of conditions and the following disclaimer in the
# documentation and/or other materials provided with the distribution.
# * Neither the name of Pacific Biosciences nor the names of its
# contributors may be used to endorse or promote products derived from
# this software without specific prior written permission.
#
# NO EXPRESS OR IMPLIED LICENSES TO ANY PARTY'S PATENT RIGHTS ARE GRANTED BY
# THIS LICENSE. THIS SOFTWARE IS PROVIDED BY PACIFIC BIOSCIENCES AND ITS
# CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A
# PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL PACIFIC BIOSCIENCES OR
# ITS CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR
# BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER
# IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
# ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
# POSSIBILITY OF SUCH DAMAGE.
#################################################################################
# Author: David Alexander
"""
I/O support for GFF3 files.
The specification for the GFF format is available at
http://www.sequenceontology.org/gff3.shtml
"""
__all__ = [ "Gff3Record",
"GffReader",
"GffWriter" ]
from .base import ReaderBase, WriterBase
from collections import OrderedDict, defaultdict, namedtuple
from copy import copy as shallow_copy
import logging
import tempfile
import os.path
class Gff3Record(object):
"""
Class for GFF record, providing uniform access to standard
GFF fields and attributes.
.. doctest::
>>> from pbcore.io import Gff3Record
>>> record = Gff3Record("chr1", 10, 11, "insertion",
... attributes=[("foo", "1"), ("bar", "2")])
>>> record.start
10
>>> record.foo
'1'
>>> record.baz = 3
>>> del record.baz
Attribute access using record.fieldName notation raises ``ValueError``
if an attribute named fieldName doesn't exist. Use::
>>> record.get(fieldName)
to fetch a field or attribute with None default or::
>>> record.get(fieldName, defaultValue)
to fetch the field or attribute with a custom default.
"""
_GFF_COLUMNS = [ "seqid", "source", "type",
"start", "end", "score",
"strand", "phase", "attributes" ]
def __init__(self, seqid, start, end, type,
score=".", strand=".", phase=".",
source=".", attributes=()):
self.seqid = seqid
self.source = source
self.type = type
self.start = start
self.end = end
self.score = score
self.strand = strand
self.phase = phase
self.attributes = OrderedDict(attributes)
def copy(self):
"""
Return a shallow copy
"""
return shallow_copy(self)
@classmethod
def fromString(cls, s):
"""
Parse a string as a GFF record.
Trailing whitespace is ignored.
"""
columns = s.rstrip().rstrip(";").split("\t")
try:
assert len(columns) == len(cls._GFF_COLUMNS)
attributes = map(tupleFromGffAttribute, columns[-1].split(";"))
(_seqid, _source, _type, _start,
_end, _score, _strand, _phase) = columns[:-1]
return Gff3Record(_seqid, int(_start), int(_end), _type,
_score, _strand, _phase, _source, attributes)
except (AssertionError, ValueError):
raise ValueError("Could not interpret string as a Gff3Record: %s" % s)
@staticmethod
def _formatField(field):
if type(field) == float:
return "%.2f" % field
else:
return "%s" % field
def __str__(self):
formattedAttributes = ";".join(
("%s=%s" % (k, self._formatField(v))
for (k, v) in self.attributes.iteritems()))
formattedFixedColumns = "\t".join(
self._formatField(getattr(self, k))
for k in self._GFF_COLUMNS[:-1])
return "%s\t%s" % (formattedFixedColumns,
formattedAttributes)
#
# Access to the attributes list using
# dot notation, providing a uniform
# interface. Exception if attribute
# not found.
#
def __getattr__(self, name):
if name in self.attributes:
return self.attributes[name]
else:
raise AttributeError
def __setattr__(self, name, value):
if name in self._GFF_COLUMNS:
object.__setattr__(self, name, value)
else:
self.attributes[name] = value
def __delattr__(self, name):
del self.attributes[name]
#
# Access without exceptions.
#
def get(self, name, default=None):
return getattr(self, name, default)
def put(self, name, value):
setattr(self, name, value)
def __cmp__(self, other):
return cmp((self.seqid, self.start), (other.seqid, other.start))
class GffReader(ReaderBase):
"""
A GFF file reader class
"""
def _readHeaders(self):
headers = []
firstLine = None
for line in self.file:
if line.startswith("##"):
headers.append(line.rstrip())
else:
firstLine = line
break
return headers, firstLine
def __init__(self, f):
super(GffReader, self).__init__(f)
self.headers, self.firstLine = self._readHeaders()
def __iter__(self):
if self.firstLine:
yield Gff3Record.fromString(self.firstLine)
self.firstLine = None
for line in self.file:
yield Gff3Record.fromString(line)
class GffWriter(WriterBase):
"""
A GFF file writer class
"""
def __init__(self, f):
super(GffWriter, self).__init__(f)
self.writeHeader("##gff-version 3")
def writeHeader(self, headerLine):
if not headerLine.startswith("##"):
raise ValueError("GFF headers must start with ##")
self.file.write("{0}\n".format(headerLine.rstrip()))
def writeRecord(self, record):
assert isinstance(record, Gff3Record)
self.file.write("{0}\n".format(str(record)))
#
# Utility functions
#
def floatValue(s):
try:
return float(s)
except:
return None
def integerValue(s):
try:
return int(s)
except:
return None
def grok(s):
iv = integerValue(s)
if iv is not None: return iv
fv = floatValue(s)
if fv is not None: return fv
return s
def tupleFromGffAttribute(s):
k, v = s.split("=")
return k, grok(v)
def sort_gff(file_name, output_file_name=None):
"""
Sort a single GFF file by genomic location (seqid, start).
"""
if output_file_name is None:
output_file_name = os.path.splitext(file_name)[0] + "_sorted.gff"
with GffReader(file_name) as f:
records = [ rec for rec in f ]
records.sort()
with open(output_file_name, "w") as out:
gff_out = GffWriter(out)
map(gff_out.writeHeader, f.headers)
for rec in records:
gff_out.writeRecord(rec)
return output_file_name
def merge_gffs (gff_files, output_file):
"""
Merge a sequence of GFF files, preserving unique headers (except for the
source commandline, which will usually vary).
"""
headers, header_keys = _merge_gff_headers(gff_files)
n_rec = 0
with GffWriter(output_file) as writer:
for key in header_keys:
for value in headers[key]:
writer.writeHeader("##%s %s" % (key, value))
for gff_file in gff_files:
with GffReader(gff_file) as reader:
for rec in reader:
writer.writeRecord(rec)
n_rec += 1
return n_rec
def _merge_gff_headers(gff_files):
ignore_fields = set(["source-commandline", "gff-version", "date"])
def _get_headers(f):
with GffReader(f) as reader:
for h in reader.headers:
fields = h[2:].strip().split(" ")
if not fields[0] in ignore_fields:
yield fields[0], " ".join(fields[1:])
header_keys = []
for k, v in _get_headers(gff_files[0]):
if not k in header_keys:
header_keys.append(k)
headers = defaultdict(list)
for gff_file in gff_files:
for key, value in _get_headers(gff_file):
if not value in headers[key]:
headers[key].append(value)
return headers, header_keys
GffHead = namedtuple("GffHead", ("file_name", "record", "headers"))
def merge_gffs_sorted(gff_files, output_file_name):
"""
Utility function to combine a set of N (>= 2) GFF files, with records
ordered by genomic location. This assumes that each input file is already
sorted, and forms a contiguous set of records.
"""
# collect the very first record of each GFF and use that to sort the files
first_records = []
empty_files = []
for file_name in gff_files:
with GffReader(file_name) as f:
for rec in f:
first_records.append(GffHead(file_name, rec, f.headers))
break
else:
empty_files.append(file_name)
first_records.sort(lambda a,b: cmp(a.record, b.record))
gff_files = [f.file_name for f in first_records]
gff_files.extend(empty_files)
headers, header_keys = _merge_gff_headers(gff_files)
nrec = 0
with GffWriter(output_file_name) as out:
for key in header_keys:
for value in headers[key]:
out.writeHeader("##%s %s" % (key, value))
for file_name in gff_files:
logging.info("Merging {f}".format(f=file_name))
with GffReader(file_name) as gff:
for rec in gff:
out.writeRecord(rec)
nrec += 1
return nrec
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