/usr/lib/python2.7/dist-packages/cogent/db/ensembl/region.py is in python-cogent 1.9-9.
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import sqlalchemy as sql
from cogent import DNA
from cogent.core.annotation import Feature
from cogent.core.location import Map
from cogent.util.table import Table
from cogent.db.ensembl.util import LazyRecord, asserted_one, DisplayString, \
NoItemError
from cogent.db.ensembl.assembly import Coordinate, CoordSystem, \
location_query, assembly_exception_coordinate
from cogent.db.ensembl.sequence import get_sequence
__author__ = "Gavin Huttley"
__copyright__ = "Copyright 2007-2016, The Cogent Project"
__credits__ = ["Gavin Huttley"]
__license__ = "GPL"
__version__ = "1.9"
__maintainer__ = "Gavin Huttley"
__email__ = "Gavin.Huttley@anu.edu.au"
__status__ = "alpha"
DEFAULT_PARENT_LENGTH = 2 **30
# some common string display formatting
_quoted = lambda x : DisplayString(x, with_quotes=True)
_limit_words = lambda x : DisplayString(x, with_quotes=True, num_words=3)
class _Region(LazyRecord):
"""a simple genomic region object"""
Type = None
def __init__(self):
super(_Region, self).__init__()
self._attr_ensembl_table_map = None
self._location_column_prefix = 'seq_region_'
def __len__(self):
return len(self.Location)
def __cmp__(self, other):
return cmp(self.Location, other.Location)
def _make_location(self):
row = self._table_rows[self._attr_ensembl_table_map['Location']]
if row is None:
return
seq_region_id = row['%sid' % self._location_column_prefix]
start = row['%sstart' % self._location_column_prefix]
end = row['%send' % self._location_column_prefix]
strand = row['%sstrand' % self._location_column_prefix]
seq_region_table = self.db.getTable('seq_region')
query = sql.select([seq_region_table.c.name],
seq_region_table.c.seq_region_id == seq_region_id)
result = asserted_one(query.execute().fetchall())
coord_name = result['name']
coord = Coordinate(genome = self.genome, CoordName=coord_name,
Start=start, End=end, Strand=strand,
seq_region_id=seq_region_id,
ensembl_coord=True)
self._cached['Location'] = coord
def _get_location_record(self):
"""makes the Location data"""
if not self._attr_ensembl_table_map['Location'] in self._table_rows:
# we use a bit of magic to figure out what method will be required
# this magic assumes the method for obtaining a record from a table
# are named _get_tablename_record
dep_record_func = getattr(self, '_get_%s_record' % \
self._attr_ensembl_table_map['Location'])
dep_record_func()
self._make_location()
def _get_location(self):
return self._get_cached_value('Location', self._get_location_record)
Location = property(_get_location)
def _get_sequence(self):
if 'Seq' not in self._cached:
try:
seq = get_sequence(self.Location)
except NoItemError:
try:
alt_loc = assembly_exception_coordinate(self.Location)
seq = get_sequence(alt_loc)
except NoItemError:
seq = DNA.makeSequence("N"*len(self))
seq.Name = str(self.Location)
self._cached['Seq'] = seq
return self._cached['Seq']
Seq = property(_get_sequence)
def _get_symbol(self):
# override in subclasses
return None
Symbol = property(_get_symbol)
def getFeatures(self, feature_types, where_feature=None):
"""queries the parent genome for feature types corresponding to this
region
where_feature: the returned region can either lie 'within' this region,
'overlap' this region, or 'span' this region"""
return self.genome.getFeatures(self.Location,
feature_types=feature_types,
where_feature=where_feature)
def _get_variants(self):
"""constructs the variants attribute"""
if 'Variants' not in self._cached:
variants = self.genome.getFeatures(feature_types='variation', region=self)
self._cached['Variants'] = tuple(variants)
return self._cached['Variants']
Variants = property(_get_variants)
def featureData(self, parent_map):
symbol = self.Symbol or getattr(self, 'StableId', '')
assert not parent_map.Reverse
feat_map = parent_map[self.Location.Start:self.Location.End]
if feat_map.useful:
if self.Location.Strand == -1:
# this map is relative to + strand
feat_map = feat_map.reversed()
data = (self.Type, str(symbol), feat_map)
else:
data = None
return data
def getAnnotatedSeq(self, feature_types=None, where_feature=None):
regions = list(self.getFeatures(feature_types = feature_types,
where_feature = where_feature))
# seq_map is on the + strand, regardless the actual strand of sequence
seq_map = Map(locations = [(self.Location.Start, self.Location.End)],
parent_length = DEFAULT_PARENT_LENGTH)
seq_map = seq_map.inverse()
for region in regions:
data = region.featureData(seq_map)
if data is None:
continue
# this will consider the strand information of actual sequence
feature_map = [data[-1],
data[-1].nucleicReversed()][self.Location.Strand == -1]
self.Seq.addAnnotation(Feature, data[0], data[1], feature_map)
if region.Type == 'gene': # TODO: SHOULD be much simplified
sub_data = region.subFeatureData(seq_map)
for feature_type, feature_name, feature_map in sub_data:
if self.Location.Strand == -1:
# again, change feature map to -1 strand sequence if
# needed.
feature_map = feature_map.nucleicReversed()
self.Seq.addAnnotation(Feature, feature_type,
feature_name, feature_map)
return self.Seq
class GenericRegion(_Region):
"""a generic genomic region"""
Type = 'generic_region'
def __init__(self, genome, db, Location=None, CoordName=None, Start=None,
End=None, Strand=1, ensembl_coord=False):
super(GenericRegion, self).__init__()
self.genome = genome
self.db = db
if Location is None and CoordName:
self._get_seq_region_record(str(CoordName))
if End is not None:
assert self._table_rows['seq_region']['length'] > End, \
'Requested End[%s] too large' % End
seq_region_id = self._table_rows['seq_region']['seq_region_id']
Location = Coordinate(genome=genome, CoordName=str(CoordName),
Start=Start, End=End, Strand=Strand,
seq_region_id=seq_region_id,
ensembl_coord=ensembl_coord)
if Location is not None:
self._cached['Location'] = Location
def __str__(self):
my_type = self.__class__.__name__
return "%s(Species='%s'; CoordName='%s'; Start=%s; End=%s;"\
" length=%s; Strand='%s')" % (my_type,
self.genome.Species,
self.Location.CoordName, self.Location.Start,
self.Location.End, len(self), '-+'[self.Location.Strand>0])
def _get_seq_region_record(self, CoordName):
# override the _Region class method, since, we take the provided Start
# etc .. attributes
# CoordName comes from seq_region_table.c.name
# matched, by coord_system_id, to default coord system
seq_region_table = self.genome.db.getTable('seq_region')
coord_systems = CoordSystem(core_db=self.genome.CoreDb)
coord_system_ids = [k for k in coord_systems if not isinstance(k, str)]
record = sql.select([seq_region_table],
sql.and_(seq_region_table.c.name == CoordName,
seq_region_table.c.coord_system_id.in_(coord_system_ids)))
record = asserted_one(record.execute().fetchall())
self._table_rows['seq_region'] = record
class _StableRegion(GenericRegion):
"""region with a stable_id"""
_member_types = None
def __init__(self, genome, db, **kwargs):
super(_StableRegion, self).__init__(genome, db, **kwargs)
def __repr__(self):
my_type = self.__class__.__name__
return '%s(%s; %s)' % (my_type, self.genome.Species, self.StableId)
def _get_record_for_stable_id(self):
# subclasses need to provide a function for loading the correct
# record for obtaining a stable_id
table_name = self._attr_ensembl_table_map['StableId']
if self.genome.GeneralRelease >= 65:
func_name = '_get_%s_record' % (table_name + '_stable_id')
else:
func_name = '_get_%s_record' % table_name
func = getattr(self, func_name)
func()
attr_column_map = [('StableId', 'stable_id', _quoted)]
self._populate_cache_from_record(attr_column_map, table_name)
def _get_stable_id(self):
return self._get_cached_value('StableId',
self._get_record_for_stable_id)
StableId = property(_get_stable_id)
def getMember(self, StableId, member_types=None):
"""returns the associated member with matching StableId or None if not
found.
Arguments:
- member_types: the property to be searched, depends on self.Type.
Transcripts for genes, Exons/TranslatedExons for Transcripts."""
member_types = member_types or self._member_types
if type(member_types) == str:
member_types = [member_types]
for member_type in member_types:
member = getattr(self, member_type, None)
if member is None:
raise AttributeError,\
"%s doesn't have property %s" % (self.Type, member_type)
for element in member:
if element.StableId == StableId:
return element
return None
class Gene(_StableRegion):
"""a gene region"""
Type = 'gene'
_member_types = ['Transcripts']
def __init__(self, genome, db, StableId=None, Symbol=None, Location=None, data=None):
"""constructed by a genome instance"""
super(Gene, self).__init__(genome, db, Location=Location)
self._attr_ensembl_table_map = dict(StableId=['gene_stable_id',
'gene'][genome.GeneralRelease >= 65],
Symbol='xref',
Description='gene', BioType='gene', Location='gene',
CanonicalTranscript='gene',
Transcripts='transcript',
Exons='transcript')
if data is None:
args = [dict(StableId=StableId), dict(Symbol=Symbol)][StableId is None]
assert args
data = asserted_one(list(self.genome._get_gene_query(db, **args).execute()))
for name, func in \
[('StableId',self._get_gene_stable_id_record),
('BioType', self._get_gene_record),
('Description', self._get_gene_record),
('Symbol', self._get_xref_record),
('Location', self._get_gene_record)]:
if name == 'Symbol' and 'display_label' not in data.keys(): # For EST
continue
self._table_rows[self._attr_ensembl_table_map[name]] = data
func() # this populates the attributes
def __str__(self):
my_type = self.__class__.__name__
vals = ['%s=%r' % (key, val) for key, val in self._cached.items() \
if val is not None]
vals.sort()
vals.insert(0, "Species='%s'" % self.genome.Species)
return '%s(%s)' % (my_type, '; '.join(vals))
def __repr__(self):
my_type = self.__class__.__name__
vals = ['%s=%r' % (key, val) for key, val in self._cached.items() \
if val is not None]
vals.sort()
vals.insert(0, 'Species=%r' % self.genome.Species)
return '%s(%s)' % (my_type, '; '.join(vals))
def _get_gene_record(self):
"""adds the gene data to self._table_rows"""
attr_column_map = [('BioType', 'biotype', _quoted),
('Status', 'status', _quoted),
('Description', 'description', _limit_words)]
# we set all the attributes that derive from this
self._populate_cache_from_record(attr_column_map, 'gene')
return
def _get_gene_stable_id_record(self):
"""adds the gene_stable_id data to self._table_rows"""
attr_column_map = [('StableId', 'stable_id', _quoted)]
self._populate_cache_from_record(attr_column_map,
self._attr_ensembl_table_map['StableId'])
return
def _get_xref_record(self):
attr_column_map = [('Symbol','display_label', _quoted)]
self._populate_cache_from_record(attr_column_map, 'xref')
return
def _get_biotype(self):
return self._get_cached_value('BioType', self._get_gene_record)
BioType = property(_get_biotype)
def _get_symbol(self):
if 'xref' in self._table_rows:
return self._get_cached_value('Symbol', self._get_xref_record)
self._set_null_values(['Symbol'])
return self._cached['Symbol']
Symbol = property(_get_symbol)
def _get_description(self):
return self._get_cached_value('Description', self._get_gene_record)
Description = property(_get_description)
def _get_status(self):
return self._get_cached_value('Status', self._get_gene_record)
Status = property(_get_status)
def _make_canonical_transcript(self):
if not 'gene' in self._table_rows:
self._get_gene_record()
canonical_id = self._table_rows['gene']['canonical_transcript_id']
transcript_table = self.db.getTable('transcript')
query = sql.select([transcript_table],
transcript_table.c.transcript_id==canonical_id)
records = query.execute().fetchall()
assert len(records) == 1,\
"wrong number of records from CanonicalTranscript"
record = records[0]
transcript = Transcript(self.genome, self.db, canonical_id,
data=record)
self._cached['CanonicalTranscript'] = transcript
def _get_canonical_transcript(self):
return self._get_cached_value('CanonicalTranscript',
self._make_canonical_transcript)
CanonicalTranscript = property(_get_canonical_transcript)
def _make_transcripts(self):
if not 'gene' in self._table_rows:
self._get_gene_record()
gene_id = self._table_rows['gene']['gene_id']
transcript_table = self.db.getTable('transcript')
query = sql.select([transcript_table],
transcript_table.c.gene_id==gene_id)
records = query.execute().fetchall()
if not records:
self._set_null_values(['Transcripts'], 'transcript')
return
transcripts = []
for record in records:
transcript_id = record['transcript_id']
transcripts.append(Transcript(self.genome, self.db, transcript_id,
data=record))
self._cached['Transcripts'] = tuple(transcripts)
def _get_transcripts(self):
return self._get_cached_value('Transcripts', self._make_transcripts)
Transcripts = property(_get_transcripts)
def subFeatureData(self, parent_map):
"""returns data for making a cogent Feature. These can be
automatically applied to the Seq by the getAnnotatedSeq method.
Returns None if self lies outside parent's span.
"""
features = []
for transcript in self.Transcripts:
transcript_data = transcript.featureData(parent_map)
if transcript_data:
features.append(transcript_data)
data = transcript.subFeatureData(parent_map)
features.extend(data)
return features
def getCdsLengths(self):
"""returns the Cds lengths from transcripts with the same biotype.
returns None if no transcripts."""
if self.Transcripts is self.NULL_VALUE:
return None
l = [ts.getCdsLength() for ts in self.Transcripts
if ts.BioType == self.BioType]
return l
def getLongestCdsTranscript(self):
"""returns the Transcript with the longest Cds and the same biotype"""
result = sorted([(ts.getCdsLength(), ts) for ts in self.Transcripts
if ts.BioType == self.BioType])
if result: # last result is longest
result = result[-1][1]
return result
class Transcript(_StableRegion):
Type = 'transcript'
_member_types = ['Exons', 'TranslatedExons']
def __init__(self, genome, db, transcript_id, data, Location=None):
"""created by Gene"""
super(Transcript, self).__init__(genome, db, Location=Location)
self._attr_ensembl_table_map = dict(StableId=['transcript_stable_id',
'transcript'][genome.GeneralRelease >= 65],
Location='transcript',
Status = 'transcript',
TranslatedExons='translation')
self._am_prot_coding = None
self.transcript_id = transcript_id
self._table_rows['transcript'] = data
self.gene_id = self._table_rows['transcript']['gene_id']
self._set_transcript_record()
def _set_transcript_record(self):
attr_column_map = [('BioType', 'biotype', _quoted),
('Status', 'status', _quoted)]
self._populate_cache_from_record(attr_column_map, 'transcript')
self._am_prot_coding=self._cached['BioType'].lower()=='protein_coding'
def _get_status(self):
return self._cached['Status']
Status = property(_get_status)
def _get_biotype(self):
return self._cached['BioType']
BioType = property(_get_biotype)
def _get_gene(self):
gene_id = self.gene_id
gene_table = self.db.getTable('gene')
query = sql.select([gene_table.c.stable_id],
gene_table.c.gene_id == gene_id)
record = asserted_one(query.execute())
gene = self.genome.getGeneByStableId(record[0])
return gene
Gene = property(_get_gene)
def _get_transcript_stable_id_record(self):
table_name = self._attr_ensembl_table_map['StableId']
if table_name in self._table_rows:
return
transcript_id = self.transcript_id
table = self.db.getTable(table_name)
query = sql.select([table], table.c.transcript_id == transcript_id)
record = asserted_one(query.execute())
self._table_rows[table_name] = record
def _get_exon_transcript_records(self):
transcript_id = self.transcript_id
exon_transcript_table = self.db.getTable('exon_transcript')
query = sql.select([exon_transcript_table],
exon_transcript_table.c.transcript_id == transcript_id)
records = query.execute()
exons = []
for record in records:
exons.append(Exon(self.genome, self.db, record['exon_id'],
record['rank']))
exons.sort()
self._cached['Exons'] = tuple(exons)
def _get_exons(self):
return self._get_cached_value('Exons',
self._get_exon_transcript_records)
Exons = property(_get_exons)
def _get_intron_transcript_records(self):
if len(self.Exons) < 2:
self._set_null_values(["Introns"])
return
exon_positions = [(exon.Location.Start, exon.Location.End)
for exon in self.Exons]
exon_positions.sort()
end = exon_positions[-1][-1]
exon_map = Map(locations=exon_positions, parent_length=end)
intron_map = exon_map.shadow()
intron_positions = [(span.Start, span.End)
for span in intron_map.spans if span.Start != 0]
chrom = self.Location.CoordName
strand = self.Location.Strand
introns = []
rank = 1
if strand == -1:
intron_positions.reverse()
for s, e in intron_positions:
coord = self.genome.makeLocation(CoordName=chrom, Start=s, End=e,
Strand=strand, ensembl_coord=False)
introns.append(Intron(self.genome, self.db, rank, self.StableId,
coord))
rank += 1
self._cached['Introns'] = tuple(introns)
def _get_introns(self):
return self._get_cached_value('Introns',
self._get_intron_transcript_records)
Introns = property(_get_introns)
def _get_translation_record(self):
transcript_id = self.transcript_id
translation_table = self.db.getTable('translation')
query = sql.select([translation_table],
translation_table.c.transcript_id == transcript_id)
try:
record = asserted_one(query.execute())
except NoItemError:
self._set_null_values(['TranslatedExons'], 'translation')
return
self._table_rows['translation'] = record
def _get_transcript(self):
self._get_translation_record()
record = self._table_rows['translation']
if record == self.NULL_VALUE:
return
start_exon_id = record['start_exon_id']
end_exon_id = record['end_exon_id']
# because this will be used to shift a coord. Note: these are relative
# to the exon start but ignore strand, so we have to decide whether
# the coord shifts need to be flipped
seq_start = record['seq_start'] - 1
seq_end = record['seq_end']
flip_coords = self.Exons[0].Location.Strand == -1
start_index = None
end_index = None
for index, exon in enumerate(self.Exons):
if exon.exon_id == start_exon_id:
start_index = index
if exon.exon_id == end_exon_id:
end_index = index
assert None not in (start_index, end_index), \
'Error in matching transcript and exons'
start_exon = self.Exons[start_index]
if start_index == end_index:
shift_start=[seq_start,len(start_exon)-seq_end][flip_coords]
shift_end = [seq_end-len(start_exon), -1*seq_start][flip_coords]
else:
shift_start = [seq_start, 0][flip_coords]
shift_end = [0, -1*seq_start][flip_coords]
coord = start_exon.Location.resized(shift_start, shift_end)
DEBUG = False
if DEBUG:
out = ['\nseq_start=%d; seq_end=%d' %(seq_start, seq_end),
'shift_start=%d; shift_end=%d'%(shift_start, shift_end),
'len=%s'% len(coord)]
sys.stderr.write('\n'.join(map(str,out))+'\n')
new_start_exon = Exon(self.genome, self.db, start_exon.exon_id,
start_exon.Rank, Location=coord)
translated_exons=(new_start_exon,)+\
self.Exons[start_index+1:end_index]
if start_index != end_index:
end_exon = self.Exons[end_index]
shift_start = [0, len(end_exon)-seq_end][flip_coords]
shift_end = [seq_end-len(end_exon), 0][flip_coords]
coord=end_exon.Location.resized(shift_start, shift_end)
new_end_exon = Exon(self.genome, self.db, end_exon.exon_id,
end_exon.Rank, Location=coord)
translated_exons += (new_end_exon,)
self._cached['TranslatedExons'] = translated_exons
def _get_translated_exons(self):
return self._get_cached_value('TranslatedExons', self._get_transcript)
TranslatedExons = property(_get_translated_exons)
def _calculate_Utr_exons(self):
# TODO clean up this code
exons = self.Exons
translated_exons = self.TranslatedExons
num_exons = len(self.Exons)
if not translated_exons:
self._set_null_values(["UntranslatedExons5", "UntranslatedExons3"])
return
untranslated_5exons, untranslated_3exons = [], []
start_exon, end_exon = translated_exons[0], translated_exons[-1]
flip_coords = start_exon.Location.Strand == -1
for exon in exons[0:start_exon.Rank]: # get 5'UTR
coord = exon.Location.copy()
if exon.StableId == start_exon.StableId:
coord.Start = [coord.Start, start_exon.Location.End][flip_coords]
coord.End = [start_exon.Location.Start, coord.End][flip_coords]
if len(coord) != 0:
untranslated_5exons.append(Exon(self.genome, self.db,
exon.exon_id, exon.Rank, Location = coord))
for exon in exons[end_exon.Rank -1: num_exons]: # get 3'UTR
coord = exon.Location.copy()
if exon.StableId == end_exon.StableId:
coord.Start = [end_exon.Location.End, coord.Start][flip_coords]
coord.End = [coord.End, end_exon.Location.Start][flip_coords]
if len(coord) != 0:
untranslated_3exons.append(Exon(self.genome, self.db,
exon.exon_id, exon.Rank, Location = coord))
self._cached["UntranslatedExons5"] = tuple(untranslated_5exons)
self._cached["UntranslatedExons3"] = tuple(untranslated_3exons)
def _get_5prime_untranslated_exons(self):
return self._get_cached_value("UntranslatedExons5",
self._calculate_Utr_exons)
UntranslatedExons5 = property(_get_5prime_untranslated_exons)
def _get_3prime_untranslated_exons(self):
return self._get_cached_value("UntranslatedExons3",
self._calculate_Utr_exons)
UntranslatedExons3 = property(_get_3prime_untranslated_exons)
def _make_utr_seq(self):
if self.UntranslatedExons5 is None and self.UntranslatedExons3 is None:
self._cached["Utr5"] = self.NULL_VALUE
self._cached["Utr3"] = self.NULL_VALUE
return
Utr5_seq, Utr3_seq = DNA.makeSequence(""), DNA.makeSequence("")
for exon in self.UntranslatedExons5:
Utr5_seq += exon.Seq
for exon in self.UntranslatedExons3:
Utr3_seq += exon.Seq
self._cached["Utr5"] = Utr5_seq
self._cached["Utr3"] = Utr3_seq
def _get_utr5_seq(self):
return self._get_cached_value("Utr5", self._make_utr_seq)
Utr5 = property(_get_utr5_seq)
def _get_utr3_seq(self):
return self._get_cached_value("Utr3", self._make_utr_seq)
Utr3 = property(_get_utr3_seq)
def _make_cds_seq(self):
if self.Exons is self.NULL_VALUE:
self._cached['Cds'] = self.NULL_VALUE
return
exons = [self.Exons, self.TranslatedExons][self._am_prot_coding]
full_seq = None
for exon in exons:
if full_seq is None:
full_seq = exon.Seq
continue
full_seq += exon.Seq
# check first exon PhaseStart is 0 and last exon PhaseEnd
if exons[0].PhaseStart > 0:
fill = DNA.makeSequence('N' * exons[0].PhaseStart, Name=full_seq.Name)
full_seq = fill + full_seq
if exons[-1].PhaseEnd > 0:
fill = DNA.makeSequence('N' * exons[-1].PhaseEnd, Name=full_seq.Name)
full_seq += fill
self._cached['Cds'] = full_seq
def _get_cds(self):
return self._get_cached_value('Cds', self._make_cds_seq)
Cds = property(_get_cds)
def getCdsLength(self):
"""returns the length of the Cds. If this property is not available,
returns None."""
if self.Cds is self.NULL_VALUE:
return None
exons = [self.Exons, self.TranslatedExons][self._am_prot_coding]
return sum(map(len, exons))
def _make_protein_seq(self):
if not self._am_prot_coding or self.Cds is self.NULL_VALUE:
self._cached['ProteinSeq'] = self.NULL_VALUE
return
DEBUG = False
# enforce multiple of 3
cds = self.Cds
length = len(cds)
cds = cds[: length - (length % 3)]
try:
cds = cds.withoutTerminalStopCodon()
except AssertionError:
if not DEBUG:
raise
out = ['\n****\nFAILED=%s' % self.StableId]
for exon in self.TranslatedExons:
out += ['TranslatedExon[rank=%d]\n' % exon.Rank, exon,
exon.Location,
'%s ... %s'%(exon.Seq[:20],exon.Seq[-20:])]
sys.stderr.write('\n'.join(map(str, out))+'\n')
raise
self._cached['ProteinSeq'] = cds.getTranslation()
def _get_protein_seq(self):
return self._get_cached_value('ProteinSeq', self._make_protein_seq)
ProteinSeq = property(_get_protein_seq)
def _get_exon_feature_data(self, parent_map):
"""returns the exon feature data"""
features = []
if self.Exons is self.NULL_VALUE:
return features
for exon in self.Exons:
feature_data = exon.featureData(parent_map)
if feature_data is None:
continue
features.append(feature_data)
return features
def _get_intron_feature_data(self, parent_map):
"""return the intron feature data"""
features = []
if self.Introns is self.NULL_VALUE:
return features
for intron in self.Introns:
feature_data = intron.featureData(parent_map)
if feature_data is None:
continue
features.append(feature_data)
return features
def _get_translated_exon_feature_data(self, parent_map):
"""returns featureD data for translated exons"""
features = []
if self.TranslatedExons is self.NULL_VALUE:
return features
cds_spans = []
for exon in self.TranslatedExons:
feature_data = exon.featureData(parent_map)
if feature_data is None:
continue
cds_spans.extend(feature_data[-1].spans)
if cds_spans:
# TODO: check strand
cds_map = Map(spans = cds_spans, parent_length = parent_map.parent_length)
features.append(('CDS', str(self.StableId), cds_map))
return features
def _get_Utr_feature_data(self, parent_map):
# TODO: Simplify this part
features = []
utr5_spans, utr3_spans = [], []
for exon in self.UntranslatedExons5:
feature_data = exon.featureData(parent_map)
if feature_data is None:
continue
utr5_spans.extend(feature_data[-1].spans)
for exon in self.UntranslatedExons3:
feature_data = exon.featureData(parent_map)
if feature_data is None:
continue
utr3_spans.extend(feature_data[-1].spans)
if utr5_spans:
utr5_map = Map(spans = utr5_spans,
parent_length = parent_map.parent_length)
features.append(("5'UTR", str(self.StableId), utr5_map))
if utr3_spans:
utr3_map = Map(spans = utr3_spans,
parent_length = parent_map.parent_length)
features.append(("3'UTR", str(self.StableId), utr3_map))
return features
def subFeatureData(self, parent_map):
"""returns data for making a cogent Feature. This can be automatically
applied to the Seq by the getAnnotatedSeq method. Returns None if
self lies outside parent's span.
"""
features = self._get_exon_feature_data(parent_map)
features += self._get_intron_feature_data(parent_map)
features += self._get_translated_exon_feature_data(parent_map)
if self.TranslatedExons:
features += self._get_Utr_feature_data(parent_map)
return features
class Exon(_StableRegion):
Type = 'exon'
def __init__(self, genome, db, exon_id, Rank, Location=None):
"""created by a Gene"""
_StableRegion.__init__(self, genome, db, Location=Location)
self._attr_ensembl_table_map = dict(StableId=['exon_stable_id',
'exon'][genome.GeneralRelease >= 65],
Location='exon')
self.exon_id = exon_id
self.Rank = Rank
def __str__(self):
return self.__repr__()
def __repr__(self):
my_type = self.__class__.__name__
return '%s(StableId=%s, Rank=%s)' % (my_type, self.StableId, self.Rank)
def __cmp__(self, other):
return cmp(self.Rank, other.Rank)
def _get_exon_stable_id_record(self):
if self.genome.GeneralRelease >= 65:
# release >= 65, data is just in the exon table
self._get_exon_record()
return
table_name = self._attr_ensembl_table_map['StableId']
exon_stable_id_table = self.db.getTable(table_name)
query = sql.select([exon_stable_id_table.c.stable_id],
exon_stable_id_table.c.exon_id == self.exon_id)
records = query.execute()
record = asserted_one(records.fetchall())
self._table_rows[table_name] = record
def _get_exon_record(self):
# this will be called by _Region parent class to make the location
exon_table = self.db.getTable('exon')
query = sql.select([exon_table], exon_table.c.exon_id == self.exon_id)
records = query.execute()
record = asserted_one(records.fetchall())
self._table_rows['exon'] = record
def _make_symbol(self):
self._cached['Symbol'] = '%s-%s' % (self.StableId, self.Rank)
def _get_symbol(self):
return self._get_cached_value('Symbol', self._make_symbol)
Symbol = property(_get_symbol)
def _make_phase(self):
"""creates the exon phase attributes"""
if 'exon' not in self._table_rows:
self._get_exon_record()
exon = self._table_rows['exon']
self._cached['PhaseStart'] = exon['phase']
self._cached['PhaseEnd'] = exon['end_phase']
@property
def PhaseStart(self):
"""reading frame start for this exon"""
return self._get_cached_value('PhaseStart', self._make_phase)
@property
def PhaseEnd(self):
"""reading frame end for this exon"""
return self._get_cached_value('PhaseEnd', self._make_phase)
class Intron(GenericRegion):
Type = 'intron'
def __init__(self, genome, db, rank, transcript_stable_id, Location=None):
GenericRegion.__init__(self, genome, db, Location=Location)
self.TranscriptStableId = transcript_stable_id
self.Rank = rank
def __str__(self):
return self.__repr__()
def __repr__(self):
my_type = self.__class__.__name__
return '%s(TranscriptId=%s, Rank=%s)' % (my_type,
self.TranscriptStableId, self.Rank)
def _make_symbol(self):
self._cached['Symbol'] = '%s-%s'%(self.TranscriptStableId, self.Rank)
def _get_symbol(self):
return self._get_cached_value('Symbol', self._make_symbol)
Symbol = property(_get_symbol)
class Est(Gene):
"""an EST region"""
Type = 'est'
def _set_to_string(val):
if type(val) in (str, type(None)):
return val
val = list(val)
while len(val) == 1 and type(val) in (tuple, list):
val = val[0]
return val
class Variation(_Region):
"""genomic variation"""
Type = 'variation'
def __init__(self, genome, db=None, Effect=None, Symbol=None, data=None):
self.genome = genome
get_table = genome.VarDb.getTable
self.variation_feature_table = get_table('variation_feature')
self.transcript_variation_table = get_table('transcript_variation')
#self.flanking_sequence_table = get_table('flanking_sequence')
self.allele_table = get_table('allele')
self.variation_table = get_table('variation')
try:
self.allele_code_table = get_table('allele_code')
except sql.exceptions.ProgrammingError:
self.allele_code_table = None
super(Variation, self).__init__()
if genome.GeneralRelease < 70:
self._get_flanking_seq_data = self._get_flanking_seq_data_lt_70
else:
self._get_flanking_seq_data = self._get_flanking_seq_data_ge_70
self._attr_ensembl_table_map = dict(Effect='variation_feature',
Symbol='variation_feature',
Validation='variation_feature',
MapWeight='variation_feature',
FlankingSeq='flanking_sequence',
PeptideAlleles='transcript_variation',
TranslationLocation='transcript_variation',
Location='variation_feature',
AlleleFreqs='allele',
Ancestral='variation')
assert data is not None, 'Variation record created in an unusual way'
for name, value, func in \
[('Effect',Effect,self._get_variation_table_record),
('Symbol',Symbol,self._get_variation_table_record)]:
if value is not None:
self._table_rows[self._attr_ensembl_table_map[name]] = data
if func is not None:
func() # this populates the attributes
self.db = db or self.genome.CoreDb
def __len__(self):
"""return the length of the longest allelic variant"""
return max(map(len, self._split_alleles()))
def __str__(self):
my_type = self.__class__.__name__
return "%s(Symbol=%r; Effect=%r; Alleles=%r)" % \
(my_type, self.Symbol, self.Effect, self.Alleles)
def _get_variation_table_record(self):
# this is actually the variation_feature table
consequence_type = 'consequence_type'
if self.genome.GeneralRelease > 67:
consequence_type += 's' # change to plural column name
attr_name_map = [('Effect', consequence_type, _set_to_string),
('Alleles', 'allele_string', _quoted),
('Symbol', 'variation_name', _quoted),
('Validation', 'validation_status', _set_to_string),
('MapWeight', 'map_weight', int),
('Somatic', 'somatic', bool)]
self._populate_cache_from_record(attr_name_map, 'variation_feature')
# TODO handle obtaining the variation_feature if we were created in
# any way other than through the Symbol or Effect
def _get_ancestral_data(self):
# actually the variation table
def str_or_none(val):
if val is not None:
val = _quoted(val)
return val
variation_id = self._table_rows['variation_feature']['variation_id']
var_table = self.variation_table
query = sql.select([var_table],
var_table.c.variation_id == variation_id)
record = asserted_one(query.execute())
self._table_rows['variation'] = record
attr_name_map = [('Ancestral', 'ancestral_allele', str_or_none)]
self._populate_cache_from_record(attr_name_map, 'variation')
def _get_seq_region_record(self, seq_region_id):
# should this be on a parent class? or a generic function in assembly?
seq_region_table = self.db.getTable('seq_region')
query = sql.select([seq_region_table],
seq_region_table.c.seq_region_id == seq_region_id)
record = asserted_one(query.execute())
return record
def _get_flanking_seq_data_ge_70(self):
"""return the flanking sequence data if Release >= 70"""
# variation_feature.alignment_quality == 1, means flanks match reference
# genome, 0 means they don't
aligned_ref = self._table_rows['variation_feature']['alignment_quality'] == 1
if not aligned_ref:
self._cached['FlankingSeq'] = self.NULL_VALUE
return
seqs = dict(up=self.NULL_VALUE, down=self.NULL_VALUE)
for name, seq in seqs.items():
resized = [(-301, -1), (1, 301)][name == 'down']
if self.Location.Strand == -1:
resized = [(1, 301), (-301, -1)][name == 'down']
flank = self.Location.resized(*resized)
flanking = self.genome.getRegion(region=flank)
seq = flanking.Seq
seqs[name] = seq
self._cached[('FlankingSeq')] = (seqs['up'][-300:],seqs['down'][:300])
def _get_flanking_seq_data_lt_70(self):
# maps to flanking_sequence through variation_feature_id
# if this fails, we grab from genomic sequence
variation_id = self._table_rows['variation_feature']['variation_id']
flanking_seq_table = self.flanking_sequence_table
query = sql.select([flanking_seq_table],
flanking_seq_table.c.variation_id == variation_id)
record = asserted_one(query.execute())
self._table_rows['flanking_sequence'] = record
up_seq = record['up_seq']
down_seq = record['down_seq']
# the following two lines are because -- wait for it -- someone has
# entered the string 'NULL' instead of NULL in the MySQL tables!!!
up_seq = [up_seq, None][up_seq == 'NULL']
down_seq = [down_seq, None][down_seq == 'NULL']
seqs = dict(up=up_seq, down=down_seq)
for name, seq in seqs.items():
if seq is not None:
seq = DNA.makeSequence(seq)
else:
resized = [(-301, -1), (1, 301)][name == 'down']
if self.Location.Strand == -1:
resized = [(1, 301), (-301, -1)][name == 'down']
flank = self.Location.resized(*resized)
flanking = self.genome.getRegion(region=flank)
seq = flanking.Seq
seqs[name] = seq
self._cached[('FlankingSeq')] = (seqs['up'][-300:],seqs['down'][:300])
def _get_flanking_seq(self):
return self._get_cached_value('FlankingSeq',
self._get_flanking_seq_data)
FlankingSeq = property(_get_flanking_seq)
def _get_effect(self):
return self._get_cached_value('Effect',
self._get_variation_table_record)
Effect = property(_get_effect)
def _get_somatic(self):
return self._get_cached_value('Somatic',
self._get_variation_table_record)
Somatic = property(_get_somatic)
def _get_alleles(self):
return self._get_cached_value('Alleles',
self._get_variation_table_record)
Alleles = property(_get_alleles)
def _get_ancestral(self):
return self._get_cached_value('Ancestral', self._get_ancestral_data)
Ancestral = property(_get_ancestral)
def _get_allele_table_record(self):
variation_id = self._table_rows['variation_feature']['variation_id']
allele_table = self.allele_table
query = sql.select([allele_table],
allele_table.c.variation_id == variation_id)
records = [r for r in query.execute()]
if len(records) == 0:
self._cached[('AlleleFreqs')] = self.NULL_VALUE
return
# property change from >= 65, allele ids need to be looked up in
# the allele_code table
allele_code = self.allele_code_table
self._table_rows['allele_table'] = records
data = []
if self.genome.GeneralRelease > 71:
sample_id = 'population_id'
else:
sample_id = 'sample_id'
for rec in records:
if not rec[sample_id]:
continue
if allele_code is None:
allele = rec['allele']
else:
allele_query = sql.select([allele_code.c.allele],
allele_code.c.allele_code_id == rec['allele_code_id'])
allele = list(allele_query.execute())[0][0]
data.append((allele, rec['frequency'], rec[sample_id]))
if not data:
self._cached[('AlleleFreqs')] = self.NULL_VALUE
return
table = Table(header=['allele', 'freq', sample_id], rows=data)
self._cached[('AlleleFreqs')] = table.sorted([sample_id, 'allele'])
def _get_allele_freqs(self):
return self._get_cached_value('AlleleFreqs',
self._get_allele_table_record)
AlleleFreqs = property(_get_allele_freqs)
def _get_symbol(self):
return self._get_cached_value('Symbol',
self._get_variation_table_record)
Symbol = property(_get_symbol)
def _get_validation(self):
return self._get_cached_value('Validation',
self._get_variation_table_record)
Validation = property(_get_validation)
def _get_map_weight(self):
return self._get_cached_value('MapWeight',
self._get_variation_table_record)
MapWeight = property(_get_map_weight)
def _get_transcript_record(self):
if not 'variation_feature' in self._table_rows:
raise NotImplementedError
try:
effects = [self.Effect.lower()]
except AttributeError:
effects = [v.lower() for v in self.Effect]
effects = set(effects)
# TODO swap what we use for nysn by Ensembl version, thanks Ensembl!
nsyn = set(('coding_sequence_variant', 'missense_variant'))
if not effects & nsyn:
self._cached['PeptideAlleles'] = self.NULL_VALUE
self._cached['TranslationLocation'] = self.NULL_VALUE
return
table_name = self._attr_ensembl_table_map['PeptideAlleles']
loc = lambda x: int(x)-1
# column name changed between releases, so we check to see which
# one is being used for this instance and set the column strings
# TODO can we modify the table on loading? This would give better
# performance.
if self.genome.VarDb.tableHasColumn(table_name, 'pep_allele_string'):
pep_allele_string = 'pep_allele_string'
consequence_type = 'consequence_types'
else:
pep_allele_string = 'peptide_allele_string'
consequence_type = 'consequence_type'
attr_column_map = [
('PeptideAlleles', pep_allele_string, _quoted),
('TranslationLocation', 'translation_start', loc)]
if table_name in self._table_rows:
self._populate_cache_from_record(attr_column_map, table_name)
return
var_feature_record = self._table_rows['variation_feature']
var_feature_id = var_feature_record['variation_feature_id']
table = self.genome.VarDb.getTable(table_name)
self_effect = set([self.Effect,[self.Effect]][type(self.Effect)==str])
query = sql.select([table.c.variation_feature_id,
table.columns[pep_allele_string],
table.c.translation_start,
table.columns[consequence_type]],
sql.and_(table.c.variation_feature_id == var_feature_id,
table.columns[pep_allele_string] != None))
records = query.execute().fetchall()
pep_alleles = []
translation_location = []
for record in records:
if not record[consequence_type] & self_effect:
continue
pep_alleles += [record[pep_allele_string]]
translation_location += [record['translation_start']]
if not pep_alleles:
self._cached['PeptideAlleles'] = self.NULL_VALUE
self._cached['TranslationLocation'] = self.NULL_VALUE
return
# we only want unique allele strings
allele_location = dict(zip(pep_alleles, translation_location))
pep_alleles = list(set(pep_alleles))
pep_alleles = [pep_alleles, pep_alleles[0]][len(pep_alleles)==1]
if type(pep_alleles) not in (str, unicode):
for pep_allele in pep_alleles:
translation_location = allele_location[pep_allele]
else:
translation_location = allele_location[pep_alleles]
self._table_rows[table_name] = dict(pep_allele_string=pep_alleles,
translation_start=translation_location)
self._populate_cache_from_record(attr_column_map, table_name)
def _get_peptide_variation(self):
return self._get_cached_value('PeptideAlleles',
self._get_transcript_record)
PeptideAlleles = property(_get_peptide_variation)
def _get_translation_location(self):
return self._get_cached_value('TranslationLocation',
self._get_transcript_record)
TranslationLocation = property(_get_translation_location)
def _split_alleles(self):
return self.Alleles.split('/')
def _get_number_alleles(self):
result = self._split_alleles()
return len(result)
NumAlleles = property(_get_number_alleles)
class CpGisland(GenericRegion):
Type = 'CpGisland'
def __init__(self, genome, db, Location, Score):
super(CpGisland, self).__init__(genome=genome, db=db,
Location=Location)
self.Score = Score
def __str__(self):
my_type = self.__class__.__name__
return "%s(CoordName='%s'; Start=%s; End=%s; length=%s;"\
" Strand='%s', Score=%.1f)" % (my_type,
self.Location.CoordName,
self.Location.Start,
self.Location.End,
len(self),
'-+'[self.Location.Strand>0], self.Score)
class Repeat(GenericRegion):
Type = 'repeat'
def __init__(self, genome, db, Location, Score, data):
super(Repeat, self).__init__(genome=genome, db=db, Location=Location)
self._attr_ensembl_table_map = dict(Symbol='repeat_consensus',
RepeatType='repeat_consensus',
RepeatClass='repeat_consensus',
Consensus='repeat_consensus')
self.Score = Score
# assume always created from repeat_feature table
self._table_rows['repeat_feature']= data
def __str__(self):
my_type = self.__class__.__name__
return "%s(CoordName='%s'; Start=%s; End=%s; length=%s;"\
" Strand='%s', Score=%.1f)" % (my_type,
self.Location.CoordName,
self.Location.Start, self.Location.End, len(self),
'-+'[self.Location.Strand>0], self.Score)
def _get_repeat_consensus_record(self):
repeat_consensus_table = self.db.getTable('repeat_consensus')
repeat_consensus_id = self._table_rows['repeat_feature']['repeat_consensus_id']
record = sql.select([repeat_consensus_table],
repeat_consensus_table.c.repeat_consensus_id == repeat_consensus_id)
record = asserted_one(record.execute().fetchall())
self._table_rows['repeat_consensus'] = record
limit_length = lambda x : DisplayString(x, repr_length=10)
attr_column_map = [('Symbol', 'repeat_name', _quoted),
('RepeatClass', 'repeat_class', _quoted),
('RepeatType', 'repeat_type', _quoted),
('Consensus', 'repeat_consensus', limit_length)]
self._populate_cache_from_record(attr_column_map, 'repeat_consensus')
def _get_symbol(self):
return self._get_cached_value('Symbol',
self._get_repeat_consensus_record)
Symbol = property(_get_symbol)
def _get_repeat_class(self):
return self._get_cached_value('RepeatClass',
self._get_repeat_consensus_record)
RepeatClass = property(_get_repeat_class)
def _get_repeat_type(self):
return self._get_cached_value('RepeatType',
self._get_repeat_consensus_record)
RepeatType = property(_get_repeat_type)
def _get_consensus(self):
return self._get_cached_value('Consensus',
self._get_repeat_consensus_record)
Consensus = property(_get_consensus)
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