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_nucleotide_mixin.py
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_nucleotide_mixin.py
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# ----------------------------------------------------------------------------
# Copyright (c) 2013--, scikit-bio development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
# ----------------------------------------------------------------------------
from abc import ABCMeta, abstractproperty
import numpy as np
from skbio.util._decorator import classproperty, stable
from ._grammared_sequence import _motifs as parent_motifs
class NucleotideMixin(metaclass=ABCMeta):
"""Mixin for adding funtionality for working with sequences of nucleotides.
This is an abstract base class (ABC) that cannot be instantiated.
See Also
--------
DNA
RNA
"""
__complement_lookup = None
__gc_codes = None
@classproperty
def _complement_lookup(cls):
if cls.__complement_lookup is not None:
return cls.__complement_lookup
lookup = np.zeros(cls._number_of_extended_ascii_codes, dtype=np.uint8)
for key, value in cls.complement_map.items():
lookup[ord(key)] = ord(value)
cls.__complement_lookup = lookup
return lookup
@classproperty
def _gc_codes(cls):
if cls.__gc_codes is None:
gc_iupac_chars = 'GCS'
cls.__gc_codes = np.asarray([ord(g) for g in gc_iupac_chars])
return cls.__gc_codes
@property
def _motifs(self):
return _motifs
@abstractproperty
@classproperty
@stable(as_of='0.4.0')
def complement_map(cls):
"""Return mapping of nucleotide characters to their complements.
Returns
-------
dict
Mapping of each character to its complement.
Notes
-----
Complements cannot be defined for a generic nucleotide sequence because
the complement of ``A`` is ambiguous. Thanks, nature...
"""
raise NotImplementedError
@stable(as_of='0.4.0')
def complement(self, reverse=False):
"""Return the complement of the nucleotide sequence.
Parameters
----------
reverse : bool, optional
If ``True``, return the reverse complement. If positional and/or
interval metadata are present, they will be reversed.
Returns
-------
NucleotideMixin
The (reverse) complement of the nucleotide sequence. The type and
metadata of the result will be the same as the nucleotide
sequence. If `reverse` is ``True``, positional or interval metadata
will be reversed if it is present.
See Also
--------
reverse_complement
complement_map
Examples
--------
>>> from skbio import DNA
>>> seq = DNA('TTCATT', positional_metadata={'quality':range(6)})
>>> seq
DNA
-----------------------------
Positional metadata:
'quality': <dtype: int64>
Stats:
length: 6
has gaps: False
has degenerates: False
has definites: True
GC-content: 16.67%
-----------------------------
0 TTCATT
>>> seq.complement()
DNA
-----------------------------
Positional metadata:
'quality': <dtype: int64>
Stats:
length: 6
has gaps: False
has degenerates: False
has definites: True
GC-content: 16.67%
-----------------------------
0 AAGTAA
>>> rc = seq.complement(reverse=True)
>>> rc
DNA
-----------------------------
Positional metadata:
'quality': <dtype: int64>
Stats:
length: 6
has gaps: False
has degenerates: False
has definites: True
GC-content: 16.67%
-----------------------------
0 AATGAA
>>> rc.positional_metadata['quality'].values
array([5, 4, 3, 2, 1, 0])
"""
result = self._complement_lookup[self._bytes]
metadata = None
if self.has_metadata():
metadata = self.metadata
positional_metadata = None
if self.has_positional_metadata():
positional_metadata = self.positional_metadata
complement = self._constructor(
sequence=result,
metadata=metadata,
positional_metadata=positional_metadata)
if reverse:
# this has to be before the interval metadata code,
# because __gititem__ drops interval_metadata.
complement = complement[::-1]
if self.has_interval_metadata():
complement.interval_metadata = self.interval_metadata
if reverse:
# TODO: this can be revised to match
# positional_metadata when __getitem__
# supports interval_metadata
complement.interval_metadata._reverse()
return complement
@stable(as_of='0.4.0')
def reverse_complement(self):
"""Return the reverse complement of the nucleotide sequence.
Returns
-------
NucleotideMixin
The reverse complement of the nucleotide sequence. The type and
metadata of the result will be the same as the nucleotide
sequence. If positional metadata is present, it will be reversed.
See Also
--------
complement
is_reverse_complement
Notes
-----
This method is equivalent to ``self.complement(reverse=True)``.
Examples
--------
>>> from skbio import DNA
>>> seq = DNA('TTCATT',
... positional_metadata={'quality':range(6)})
>>> seq = seq.reverse_complement()
>>> seq
DNA
-----------------------------
Positional metadata:
'quality': <dtype: int64>
Stats:
length: 6
has gaps: False
has degenerates: False
has definites: True
GC-content: 16.67%
-----------------------------
0 AATGAA
>>> seq.positional_metadata['quality'].values
array([5, 4, 3, 2, 1, 0])
"""
return self.complement(reverse=True)
@stable(as_of='0.4.0')
def is_reverse_complement(self, other):
r"""Determine if a sequence is the reverse complement of this sequence.
Parameters
----------
other : str, Sequence, or 1D np.ndarray (np.uint8 or '\|S1')
Sequence to compare to.
Returns
-------
bool
``True`` if `other` is the reverse complement of the nucleotide
sequence.
Raises
------
TypeError
If `other` is a ``Sequence`` object with a different type than the
nucleotide sequence.
See Also
--------
reverse_complement
Examples
--------
>>> from skbio import DNA
>>> DNA('TTCATT').is_reverse_complement('AATGAA')
True
>>> DNA('TTCATT').is_reverse_complement('AATGTT')
False
>>> DNA('ACGT').is_reverse_complement('ACGT')
True
"""
other = self._munge_to_sequence(other, 'is_reverse_complement')
# avoid computing the reverse complement if possible
if len(self) != len(other):
return False
else:
# we reverse complement ourselves because `other` is a `Sequence`
# object at this point and we only care about comparing the
# underlying sequence data
return self.reverse_complement()._string == other._string
@stable(as_of='0.4.0')
def gc_content(self):
"""Calculate the relative frequency of G's and C's in the sequence.
This includes G, C, and S characters. This is equivalent to calling
``gc_frequency(relative=True)``. Note that the sequence will be
degapped before the operation, so gap characters will not be included
when calculating the length of the sequence.
Returns
-------
float
Relative frequency of G's and C's in the sequence.
See Also
--------
gc_frequency
Examples
--------
>>> from skbio import DNA
>>> DNA('ACGT').gc_content()
0.5
>>> DNA('ACGTACGT').gc_content()
0.5
>>> DNA('ACTTAGTT').gc_content()
0.25
>>> DNA('ACGT--..').gc_content()
0.5
>>> DNA('--..').gc_content()
0
`S` means `G` or `C`, so it counts:
>>> DNA('ASST').gc_content()
0.5
Other degenerates don't count:
>>> DNA('RYKMBDHVN').gc_content()
0.0
"""
return self.gc_frequency(relative=True)
@stable(as_of='0.4.0')
def gc_frequency(self, relative=False):
"""Calculate frequency of G's and C's in the sequence.
This calculates the minimum GC frequency, which corresponds to IUPAC
characters G, C, and S (which stands for G or C).
Parameters
----------
relative : bool, optional
If False return the frequency of G, C, and S characters (ie the
count). If True return the relative frequency, ie the proportion
of G, C, and S characters in the sequence. In this case the
sequence will also be degapped before the operation, so gap
characters will not be included when calculating the length of the
sequence.
Returns
-------
int or float
Either frequency (count) or relative frequency (proportion),
depending on `relative`.
See Also
--------
gc_content
Examples
--------
>>> from skbio import DNA
>>> DNA('ACGT').gc_frequency()
2
>>> DNA('ACGT').gc_frequency(relative=True)
0.5
>>> DNA('ACGT--..').gc_frequency(relative=True)
0.5
>>> DNA('--..').gc_frequency(relative=True)
0
`S` means `G` or `C`, so it counts:
>>> DNA('ASST').gc_frequency()
2
Other degenerates don't count:
>>> DNA('RYKMBDHVN').gc_frequency()
0
"""
counts = np.bincount(self._bytes,
minlength=self._number_of_extended_ascii_codes)
gc = counts[self._gc_codes].sum()
if relative:
seq = self.degap()
if len(seq) != 0:
gc /= len(seq)
return gc
_motifs = parent_motifs.copy()
@_motifs("purine-run")
def _motif_purine_run(sequence, min_length, ignore):
"""Identifies purine runs"""
return sequence.find_with_regex("([AGR]{%d,})" % min_length,
ignore=ignore)
@_motifs("pyrimidine-run")
def _motif_pyrimidine_run(sequence, min_length, ignore):
"""Identifies pyrimidine runs"""
return sequence.find_with_regex("([CTUY]{%d,})" % min_length,
ignore=ignore)