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#!/usr/bin/env python
import unittest
from cogent import DNA, LoadSeqs
from cogent.core.annotation import Feature, Variable
from cogent.core.location import Map, Span
__author__ = "Gavin Huttley"
__copyright__ = "Copyright 2007-2012, The Cogent Project"
__credits__ = ["Gavin Huttley"]
__license__ = "GPL"
__version__ = "1.5.3"
__maintainer__ = "Gavin Huttley"
__email__ = "gavin.huttley@anu.edu.au"
__status__ = "Production"
def makeSampleSequence(with_gaps=False):
raw_seq = 'AACCCAAAATTTTTTGGGGGGGGGGCCCC'
cds = (15, 25)
utr = (12, 15)
if with_gaps:
raw_seq = raw_seq[:5] + '-----' +raw_seq[10:-2] + '--'
seq = DNA.makeSequence(raw_seq)
seq.addAnnotation(Feature, 'CDS', 'CDS', [cds])
seq.addAnnotation(Feature, "5'UTR", "5' UTR", [utr])
return seq
def makeSampleAlignment():
seq1 = makeSampleSequence()
seq2 = makeSampleSequence(with_gaps=True)
seqs = {'FAKE01': seq1, 'FAKE02': seq2}
aln = LoadSeqs(data = seqs)
aln.addAnnotation(Feature, 'misc_feature', 'misc', [(12,25)])
aln.addAnnotation(Feature, 'CDS', 'blue', [(15, 25)])
aln.addAnnotation(Feature, "5'UTR", 'red', [(2, 4)])
aln.addAnnotation(Feature, "LTR", "fake", [(2,15)])
return aln
class TestAnnotations(unittest.TestCase):
def setUp(self):
self.seq = makeSampleSequence()
self.aln = makeSampleAlignment()
def test_slice_seq_with_annotations(self):
newseq = self.seq[:5] + self.seq[10:]
for annot_type in ["CDS", "5'UTR"]:
orig = str(list(self.seq.getByAnnotation(annot_type))[0])
new = str(list(newseq.getByAnnotation(annot_type))[0])
assert orig == new, (annot_type, orig, new)
def test_aln_annotations(self):
"""test that annotations to alignment and its' sequences"""
aln_expecteds = {"misc_feature":{'FAKE01': 'TTTGGGGGGGGGG',
'FAKE02': 'TTTGGGGGGGGGG'},
"CDS": {'FAKE01': 'GGGGGGGGGG', 'FAKE02': 'GGGGGGGGGG'},
"5'UTR": {'FAKE01': 'CC', 'FAKE02': 'CC'},
"LTR" : {"FAKE01": "CCCAAAATTTTTT",
"FAKE02": "CCC-----TTTTT"}
}
seq_expecteds = {"CDS": {"FAKE01": "GGGGGGGGGG",
"FAKE02": "GGGGGGGGGG"},
"5'UTR": {"FAKE01": "TTT",
"FAKE02": "TTT"}}
for annot_type in ["misc_feature", "CDS", "5'UTR", "LTR"]:
observed = list(self.aln.getByAnnotation(annot_type))[0].todict()
expected = aln_expecteds[annot_type]
assert observed == expected, (annot_type, expected, observed)
if annot_type in ["misc_feature", "LTR"]:
continue # because seqs haven't been annotated with it
for name in self.aln.Names:
observed = list(self.aln.NamedSeqs[name].data.\
getByAnnotation(annot_type))[0]
observed = str(observed)
expected = seq_expecteds[annot_type][name]
assert str(observed) == expected, (annot_type, name, expected,
observed)
def test_slice_aln_with_annotations(self):
"""test that annotations of sequences and alignments survive alignment
slicing."""
aln_expecteds = {"misc_feature":{'FAKE01': 'TTTGGGGGGGGGG',
'FAKE02': 'TTTGGGGGGGGGG'},
"CDS": {'FAKE01': 'GGGGGGGGGG', 'FAKE02': 'GGGGGGGGGG'},
"5'UTR": {'FAKE01': 'CC', 'FAKE02': 'CC'},
"LTR" : {"FAKE01": "CCCTTTTT",
"FAKE02": "CCCTTTTT"}}
newaln = self.aln[:5]+self.aln[10:]
feature_list = newaln.getAnnotationsMatching("LTR")
for annot_type in ["LTR", "misc_feature", "CDS", "5'UTR"]:
feature_list = newaln.getAnnotationsMatching(annot_type)
new = newaln.getRegionCoveringAll(feature_list).getSlice().todict()
expected = aln_expecteds[annot_type]
assert expected == new, (annot_type, expected, new)
if annot_type in ["misc_feature", "LTR"]:
continue # because seqs haven't been annotated with it
for name in self.aln.Names:
orig = str(list(self.aln.getAnnotationsFromSequence(name,
annot_type))[0].getSlice())
new = str(list(newaln.getAnnotationsFromSequence(name,
annot_type))[0].getSlice())
assert orig == new, (name, annot_type, orig, new)
def test_feature_projection(self):
expecteds = {"FAKE01": "CCCAAAATTTTTT", "FAKE02": "CCC-----TTTTT"}
aln_ltr = self.aln.getAnnotationsMatching('LTR')[0]
for seq_name in ['FAKE01', 'FAKE02']:
expected = expecteds[seq_name]
seq_ltr = self.aln.projectAnnotation(seq_name, aln_ltr)
if '-' in expected:
self.assertRaises(ValueError, seq_ltr.getSlice)
seq_ltr = seq_ltr.withoutLostSpans()
expected = expected.replace('-', '')
self.assertEqual(seq_ltr.getSlice(), expected)
def test_reversecomplement(self):
"""test correct translation of annotations on reverse complement."""
aln_expecteds = {"misc_feature":{'FAKE01': 'TTTGGGGGGGGGG',
'FAKE02': 'TTTGGGGGGGGGG'},
"CDS": {'FAKE01': 'GGGGGGGGGG', 'FAKE02': 'GGGGGGGGGG'},
"5'UTR": {'FAKE01': 'CC', 'FAKE02': 'CC'},
"LTR" : {"FAKE01": "CCCAAAATTTTTT",
"FAKE02": "CCC-----TTTTT"}
}
seq_expecteds = {"CDS": {"FAKE01": "GGGGGGGGGG",
"FAKE02": "GGGGGGGGGG"},
"5'UTR": {"FAKE01": "TTT",
"FAKE02": "TTT"}}
rc = self.aln.rc()
# rc'ing an Alignment or Sequence rc's their annotations too. This means
# slicing returns the same sequence as the non-rc'd alignment/seq
for annot_type in ["misc_feature", "CDS", "5'UTR", "LTR"]:
observed = list(self.aln.getByAnnotation(annot_type))[0].todict()
expected = aln_expecteds[annot_type]
assert observed == expected, ("+", annot_type, expected, observed)
observed = list(rc.getByAnnotation(annot_type))[0].todict()
expected = aln_expecteds[annot_type]
assert observed == expected, ("-", annot_type, expected, observed)
if annot_type in ["misc_feature", "LTR"]:
continue # because seqs haven't been annotated with it
for name in self.aln.Names:
observed = list(self.aln.NamedSeqs[name].data.\
getByAnnotation(annot_type))[0]
observed = str(observed)
expected = seq_expecteds[annot_type][name]
assert str(observed) == expected, ("+", annot_type, name, expected,
observed)
observed = list(rc.NamedSeqs[name].data.\
getByAnnotation(annot_type))[0]
observed = str(observed)
expected = seq_expecteds[annot_type][name]
assert str(observed) == expected, ("-", annot_type, name, expected,
observed)
class TestMapSpans(unittest.TestCase):
"""Test attributes of Map & Spans classes critical to annotation
manipulation."""
def test_span(self):
length = 100
forward = Span(20, 30)
reverse = Span(70, 80, Reverse=True)
assert forward.reversedRelativeTo(100) == reverse
assert reverse.reversedRelativeTo(100) == forward
def test_map(self):
"""reversing a map with multiple spans should preserve span relative
order"""
forward = [Span(20,30), Span(40,50)]
fmap = Map(spans=forward, parent_length=100)
fmap_reversed = fmap.nucleicReversed()
reverse = [Span(70,80, Reverse=True), Span(50,60, Reverse=True)]
rmap = Map(spans=reverse, parent_length=100)
for i in range(2):
self.assertEquals(fmap_reversed.spans[i], rmap.spans[i])
if __name__ == '__main__':
unittest.main()
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