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#!/usr/bin/env python
from __future__ import division
import unittest, os, tempfile
from cogent import DNA, RNA, STANDARD_CODON as CODON, PROTEIN, Sequence, \
LoadSeqs
__author__ = "Peter Maxwell, Gavin Huttley and Rob Knight"
__copyright__ = "Copyright 2007-2009, The Cogent Project"
__credits__ = ["Peter Maxwell", "Gavin Huttley", "Rob Knight"]
__license__ = "GPL"
__version__ = "1.4.1"
__maintainer__ = "Gavin Huttley"
__email__ = "gavin.huttley@anu.edu.au"
__status__ = "Production"
base_path = os.getcwd()
data_path = os.path.join(base_path, 'data')
class ReadingWritingFileFormats(unittest.TestCase):
"""Testing ability to read file formats."""
def setUp(self):
pass
def _loadfromfile(self, filename, test_write=True, **kw):
filename = os.path.join(data_path, filename)
aln = LoadSeqs(filename=filename, **kw)
if test_write:
suffix = filename.split('.')[-1]
fn = tempfile.mktemp(suffix='.'+suffix)
aln.writeToFile(filename=fn)
os.remove(fn)
def test_fasta(self):
self._loadfromfile("formattest.fasta")
def test_phylipsequential(self):
self._loadfromfile('formattest.phylip')
def test_clustal(self):
self._loadfromfile('formattest.aln', test_write=False)
def test_phylip_interleaved(self):
self._loadfromfile('interleaved.phylip', test_write=False, interleaved=True)
def test_paml(self):
self._loadfromfile('formattest.paml')
def test_gde(self):
self._loadfromfile('formattest.gde')
def test_msf(self):
self._loadfromfile('formattest.msf', test_write=False)
class AlignmentTestMethods(unittest.TestCase):
"""Testing Alignment methods"""
def setUp(self):
self.alignment = LoadSeqs(filename = os.path.join(data_path,'brca1_5.paml'))
def test_picklability(self):
"""Pickle an alignment containing an annotated sequence"""
# This depends on alignments, sequences, features, maps and spans
# Doesn't test round trip result is correct, which should possibly
# be done for maps/spans, but seqs/alignments are just simple
# python classes without __getstate__ etc.
import cPickle as pickle
seq1 = DNA.makeSequence("aagaagaagaccccca")
seq2 = DNA.makeSequence("aagaagaagaccccct")
seq2.addFeature('exon', 'fred', [(10,15)])
aln = LoadSeqs(data={'a':seq1, 'b':seq2})
aln2 = pickle.loads(pickle.dumps(aln))
def test_empty_seq(self):
"""test creation of an alignment from scratch, with one sequence pure gap"""
new_seqs = {'seq1': 'ATGATG', 'seq2': '------'}
align = LoadSeqs(moltype=DNA, data=new_seqs)
assert len(align) == 6, align
def test_getNumSeqs(self):
self.assertEqual(self.alignment.getNumSeqs(), 5)
def test_variablePositions(self):
new_seqs = {'seq1': 'ACGTACGT', 'seq2': 'ACCGACGT', 'seq3': 'ACGTACGT'}
align = LoadSeqs(data=new_seqs)
self.assertEqual(align.variablePositions(), [2,3])
def test_numberseqs(self):
"""testing the number of sequences"""
assert len(self.alignment.getSeqNames()) == 5
def test_alignlsength(self):
"""testing the alignment length"""
assert len(self.alignment) == 60
def test_init_from_strings(self):
"""testing constructing an alignment from a dictionary of strings"""
new_seqs = {'seq1': 'ACGTACGT', 'seq2': 'ACGTACGT', 'seq3': 'ACGTACGT'}
LoadSeqs(data=new_seqs)
def test_getSubAlignment(self):
"""test slicing otus, and return of new alignment"""
fullset = ['DogFaced', 'Human', 'HowlerMon', 'Mouse', 'NineBande']
subset = ['DogFaced', 'Human', 'HowlerMon', 'Mouse']
subset.sort()
sub_align = self.alignment.takeSeqs(subset)
new = sub_align.getSeqNames()
new.sort()
assert new == subset, "included subset didn't work %s, %s" % (new, subset)
# testing exclusion of one
to_exclude = ['NineBande']
sub_align = self.alignment.takeSeqs(to_exclude, negate = True)
new = sub_align.getSeqNames()
new.sort()
assert new == subset, "excluded subset didn't work %s, %s" % (new, subset)
# testing exclusion of two
subset = ['DogFaced', 'HowlerMon', 'NineBande']
subset.sort()
to_exclude = ['Human', 'Mouse']
sub_align = self.alignment.takeSeqs(to_exclude, negate = True)
new = sub_align.getSeqNames()
new.sort()
assert new == subset, "excluded subset didn't work %s, %s" % (new, subset)
def test_slice_align(self):
"""test slicing of sequences"""
alignment = LoadSeqs(data={'seq1': 'ACGTACGT', 'seq2': 'ACGTACGT', 'seq3': 'ACGTACGT'})
sub_align = alignment[2: 5]
self.assertEqual(len(sub_align), 3)
self.assertEqual(len(sub_align.getSeqNames()), 3)
self.assertEqual(sub_align.todict(), {'seq1': 'GTA', 'seq2': 'GTA', 'seq3': 'GTA'})
sub_align = alignment[5: 20]
self.assertEqual(len(sub_align), 3)
self.assertEqual(len(sub_align.getSeqNames()), 3)
self.assertEqual(sub_align.todict(), {'seq1': 'CGT', 'seq2': 'CGT', 'seq3': 'CGT'})
sub_align = alignment[2]
self.assertEqual(len(sub_align), 1)
self.assertEqual(sub_align.todict(), {'seq1': 'G', 'seq2': 'G', 'seq3': 'G'})
sub_align = alignment[0]
self.assertEqual(len(sub_align), 1)
self.assertEqual(sub_align.todict(), {'seq1': 'A', 'seq2': 'A', 'seq3': 'A'})
sub_align = alignment[7]
self.assertEqual(len(sub_align), 1)
self.assertEqual(sub_align.todict(), {'seq1': 'T', 'seq2': 'T', 'seq3': 'T'})
def test_slidingWindows(self):
"""test slicing of sequences"""
alignment = LoadSeqs(data = {'seq1': 'ACGTACGT', 'seq2': 'ACGTACGT', 'seq3': 'ACGTACGT'})
result = []
for bit in alignment.slidingWindows(5,2):
result+=[bit]
self.assertEqual(result[0].todict(), {'seq3': 'ACGTA', 'seq2': 'ACGTA', 'seq1': 'ACGTA'})
self.assertEqual(result[1].todict(), {'seq3': 'GTACG', 'seq2': 'GTACG', 'seq1': 'GTACG'})
result = []
for bit in alignment.slidingWindows(5,1):
result+=[bit]
self.assertEqual(result[0].todict(), {'seq3': 'ACGTA', 'seq2': 'ACGTA', 'seq1': 'ACGTA'})
self.assertEqual(result[1].todict(), {'seq3': 'CGTAC', 'seq2': 'CGTAC', 'seq1': 'CGTAC'})
self.assertEqual(result[2].todict(), {'seq3': 'GTACG', 'seq2': 'GTACG', 'seq1': 'GTACG'})
self.assertEqual(result[3].todict(), {'seq3': 'TACGT', 'seq2': 'TACGT', 'seq1': 'TACGT'})
def test_withoutRedundantGaps(self):
"""test removal of redundant gaps (all entries in alignment column are gaps)"""
alignment = LoadSeqs(data={'seq1': '--ACGT--GT---', 'seq2': '--ACGTA-GT---', 'seq3': '--ACGTA-GT---'})
align_dict = alignment.omitGapPositions().todict()
self.assertEqual(align_dict, {'seq1':'ACGT-GT', 'seq2':'ACGTAGT', 'seq3':'ACGTAGT'})
def test_withoutAnyGaps(self):
"""test removal of all gaps (any entries in alignment column are gaps)"""
alignment = LoadSeqs(data={'seq1': '--ACGT--GT---', 'seq2': '--ACGTA-GT---', 'seq3': '--ACGTA-GT---'})
align_dict = alignment.omitGapPositions(allowed_gap_frac=0).todict()
self.assertEqual(align_dict, {'seq1':'ACGTGT', 'seq2':'ACGTGT', 'seq3':'ACGTGT'})
alignment = LoadSeqs(data={'seq1': 'ACGT', 'seq2': '----', 'seq3': '----'})
align_dict = alignment.omitGapPositions(allowed_gap_frac=0).todict()
self.assertEqual(align_dict, {'seq1':'', 'seq2':'', 'seq3':''})
def test_degap(self):
"""test stripping gaps from collections and alignments"""
aln = LoadSeqs(data={'seq1': '--ACGT--GT---', 'seq2': '--ACGTA-GT---',
'seq3': '--ACGTA-GT---'})
observed = aln.degap()
expect = {'seq1': 'ACGTGT', 'seq2': 'ACGTAGT', 'seq3': 'ACGTAGT'}
self.assertEqual(observed.todict(), expect)
collection = LoadSeqs(data={'seq1': '--ACGT--GT---',
'seq2': '--ACGTA-GT---', 'seq3': '--ACGTA-GT---'},
aligned=False, moltype=DNA)
observed = collection.degap()
self.assertEqual(observed.todict(), expect)
self.assertEqual(observed.MolType, DNA)
def test_DnaRna_interconversion(self):
"""test interconversion between Rna and Dna by SequenceCollection and
Alignment"""
dna = {'seq1': '--ACGT--GT---', 'seq2': '--ACGTA-GT---',
'seq3': '--ACGTA-GT---'}
rna = {'seq1': '--ACGU--GU---', 'seq2': '--ACGUA-GU---',
'seq3': '--ACGUA-GU---'}
aln_Dna = LoadSeqs(data=dna, moltype=DNA)
aln_Rna = LoadSeqs(data=dna, moltype=RNA)
collect_Dna = LoadSeqs(data=dna, aligned=False, moltype=DNA)
collect_Rna = LoadSeqs(data=rna, aligned=False, moltype=RNA)
assert aln_Rna.toDna().todict() == dna, (aln_Rna.toDna().todict(), dna)
assert aln_Dna.toRna().todict() == rna, (aln_Dna.toRna().todict(), rna)
assert collect_Rna.toDna().todict() == dna, \
(collect_Rna.toDna().todict(), dna)
assert collect_Dna.toRna().todict() == rna, \
(collect_Dna.toRna().todict(), rna)
def test_reversecomplement(self):
"""test reverse complementing of Alignments and SequenceCollection."""
dna = {'seq1': '--ACGT--GT---', 'seq2': 'TTACGTA-GT---',
'seq3': '--ACGTA-GCC--'}
dna_rc = {'seq1': '---AC--ACGT--', 'seq2': '---AC-TACGTAA',
'seq3': '--GGC-TACGT--'}
# alignment with gaps
aln = LoadSeqs(data=dna, moltype=DNA)
aln_rc = aln.rc()
self.assertEqual(aln_rc.todict(), dna_rc)
# check collection, with gaps
coll = LoadSeqs(data=dna, moltype=DNA, aligned=False)
coll_rc = coll.rc()
self.assertEqual(coll_rc.todict(), dna_rc)
self.assertEqual(coll_rc.todict(), coll.reversecomplement().todict())
# collection with no gaps
dna = {'seq1': 'ACGTGT', 'seq2': 'TTACGTAGT',
'seq3': 'ACGTAGCC'}
dna_rc = {'seq1': 'ACACGT', 'seq2': 'ACTACGTAA',
'seq3': 'GGCTACGT'}
coll = LoadSeqs(data=dna, moltype=DNA, aligned=False)
coll_rc = coll.rc()
self.assertEqual(coll_rc.todict(), dna_rc)
def test_getasdict(self):
"""getting the alignment as a dictionary"""
seqs={'seq1': 'ACGT--GT', 'seq2': 'ACGTACGT', 'seq3': 'ACGTACGT'}
alignment = LoadSeqs(data=seqs)
align_dict = alignment.todict()
self.assertEqual(align_dict, seqs)
def test_alignadd(self):
"""testing adding one alignment to another."""
align1= LoadSeqs(data={'a': 'AAAA', 'b': 'TTTT', 'c': 'CCCC'})
align2 = LoadSeqs(data={'a': 'GGGG', 'b': '----', 'c': 'NNNN'})
align = align1 + align2
concatdict = align.todict()
self.assertEqual(concatdict, {'a': 'AAAAGGGG', 'b': 'TTTT----', 'c': 'CCCCNNNN'})
def test_replaceSeqs(self):
"""synchronize gaps between protein seqs and codon seqs"""
pd={'FlyingFox': 'C-TNAH',
'DogFaced': 'CGTNT-',
'FreeTaile': '-GTDTH',
'LittleBro': 'C-TD-H',
'TombBat': 'C--STH'}
pal = LoadSeqs(moltype = PROTEIN, data = pd)
cu={'TombBat': 'TGTAGTACTCAT',
'FreeTaile': 'GGCACAGATACTCAT',
'FlyingFox': 'TGTACAAATGCTCAT',
'LittleBro': 'TGTACAGATCAT',
'DogFaced': 'TGTGGCACAAATACT'}
co = LoadSeqs(moltype = DNA, data = cu, aligned = False)
cal = pal.replaceSeqs(co)
result = cal.todict()
for taxon, expected_sequence in [
('FlyingFox', 'TGT---ACAAATGCTCAT'),
('DogFaced', 'TGTGGCACAAATACT---'),
('FreeTaile', '---GGCACAGATACTCAT'),
('LittleBro', 'TGT---ACAGAT---CAT'),
('TombBat', 'TGT------AGTACTCAT')]:
self.assertEqual(result[taxon], expected_sequence)
def test_sample(self):
"""Test sample generation"""
alignment = LoadSeqs(data={'seq1': 'ABCDEFGHIJKLMNOP',
'seq2': 'ABCDEFGHIJKLMNOP'})
# effectively permute columns, preserving length
shuffled = alignment.sample()
# ensure length correct
sample = alignment.sample(10)
self.assertEqual(len(sample), 10)
# test columns alignment preserved
seqs = sample.todict().values()
self.assertEqual(seqs[0], seqs[1])
# ensure each char occurs once as sampling without replacement
for char in seqs[0]:
self.assertEqual(seqs[0].count(char), 1)
def test_sample_with_replacement(self):
#test with replacement
alignment = LoadSeqs(data={'seq1': 'gatc', 'seq2': 'gatc'})
sample = alignment.sample(1000, with_replacement=True)
def test_sample_tuples(self):
##### test with motif size != 1 #####
alignment = LoadSeqs(data={'seq1': 'AABBCCDDEEFFGGHHIIJJKKLLMMNNOOPP',
'seq2': 'AABBCCDDEEFFGGHHIIJJKKLLMMNNOOPP'})
shuffled = alignment.sample(motif_length=2)
# ensure length correct
sample = alignment.sample(10,motif_length=2)
self.assertEqual(len(sample), 20)
# test columns alignment preserved
seqs = sample.todict().values()
self.assertEqual(seqs[0], seqs[1])
# ensure each char occurs twice as sampling dinucs without replacement
for char in seqs[0]:
self.assertEqual(seqs[0].count(char), 2)
def test_translate(self):
for seqs in [
{'seq1': 'GATTTT', 'seq2': 'GATC??'},
{'seq1': 'GAT---', 'seq2': '?GATCT'}]:
alignment = LoadSeqs(data=seqs, moltype=DNA)
self.assertEqual(len(alignment.getTranslation()), 2)
# check for a failure when no moltype specified
alignment = LoadSeqs(data=seqs)
try:
peps = alignment.getTranslation()
except AttributeError:
pass
def test_seqnames(self):
s1 = self.alignment.getSeq('Mouse')
self.assertEqual(s1.getName(), 'Mouse')
def test_withoutTerminalStopCodons(self):
"""test without terminal stop handling"""
seq_coll = LoadSeqs(data = {'seq1': 'ACGTAA', 'seq2': 'ACGACG',
'seq3': 'ACGCGT'}, moltype = DNA, aligned=False)
seq_coll = seq_coll.withoutTerminalStopCodons()
seqs = seq_coll.todict()
self.assertEqual(seqs['seq1'], 'ACG') # note: not 'acg---'
self.assertEqual(seqs['seq2'], 'ACGACG')
aln = LoadSeqs(data = {'seq1': 'ACGTAA', 'seq2': 'ACGTGA',
'seq3': 'ACGTAA'}, moltype = DNA)
aln = aln.withoutTerminalStopCodons()
seqs = aln.todict()
self.assertEqual(seqs['seq1'], 'ACG') # note: not 'acg---'
self.assertEqual(seqs['seq2'], 'ACG')
self.assertEqual(seqs['seq3'], 'ACG')
def test_hasTerminalStops(self):
"""test truth values for terminal stops"""
# seq collections
seq_coll = LoadSeqs(data = {'seq1': 'ACGTAA', 'seq2': 'ACG',
'seq3': 'ACGCGT'}, moltype = DNA, aligned=False)
assert seq_coll.hasTerminalStops() == True
seq_coll = LoadSeqs(data = {'seq1': 'ACGTAC', 'seq2': 'ACGACG',
'seq3': 'ACGCGT'}, moltype = DNA, aligned=False)
assert seq_coll.hasTerminalStops() == False
# alignments
aln = LoadSeqs(data = {'seq1': 'ACGTAA', 'seq2': 'ACGCAA',
'seq3': 'ACGCGT'}, moltype = DNA)
assert aln.hasTerminalStops() == True
aln = LoadSeqs(data = {'seq1': 'ACGTAA', 'seq2': 'ACGTAG',
'seq3': 'ACGTGA'}, moltype = DNA)
assert aln.hasTerminalStops() == True
aln = LoadSeqs(data = {'seq1': 'ACGCAA', 'seq2': 'ACGCAA',
'seq3': 'ACGCGT'}, moltype = DNA)
assert aln.hasTerminalStops() == False
def test_slice(self):
seqs = {'seq1': 'ACGTANGT', 'seq2': 'ACGTACGT', 'seq3': 'ACGTACGT'}
alignment = LoadSeqs(data = seqs)
short = {'seq1':'A', 'seq2':'A', 'seq3':'A'}
self.assertEqual(alignment[0:1].todict(), short)
def test_get_motifprobs(self):
"""calculation of motif probs"""
seqs = {'seq1': 'ACGTANGT', 'seq2': '-CGTACGT', 'seq3': 'ACGTACGT'}
aln = LoadSeqs(data = seqs, moltype=DNA)
mprobs = aln.getMotifProbs(allow_gap=False)
expected = {'A':5/22, 'T':6/22, 'C':5/22, 'G':6/22}
self.assertEqual(mprobs, expected)
mprobs = aln.getMotifProbs(allow_gap=True)
expected = {'A':5/23, 'T':6/23, 'C':5/23, 'G':6/23, '-':1/23}
self.assertEqual(mprobs, expected)
mprobs = aln.getMotifProbs(allow_gap=False, include_ambiguity=True)
expected = {'A':5.25/23, 'T':6.25/23, 'C':5.25/23, 'G':6.25/23}
self.assertEqual(mprobs, expected)
mprobs = aln.getMotifProbs(allow_gap=True, include_ambiguity=True)
expected = {'A':5.25/24, 'T':6.25/24, 'C':5.25/24, 'G':6.25/24, '-':
1/24}
self.assertEqual(mprobs, expected)
seqs = {'seq1': 'ACGAANGA', 'seq2': '-CGAACGA', 'seq3': 'ACGAACGA'}
aln = LoadSeqs(data = seqs, moltype=DNA)
mprobs = aln.getMotifProbs(exclude_unobserved=True)
expected = {'A':11/22, 'C':5/22, 'G':6/22}
self.assertEqual(mprobs, expected)
# fileformats doesn't catch an exception when the file has no data!
class SequenceTestMethods(unittest.TestCase):
"""Testing Sequence methods"""
def setUp(self):
self.seq = Sequence(DNA, 'ATGACGTTGCGTAGCATAGCTCGA')
def test_getlength(self):
"""testing getting length"""
assert len(self.seq) == 24
def test_getInMotifSize(self):
"""test accuracy of chunking various sizes"""
self.assertEqual(self.seq.getInMotifSize(2),
['AT','GA','CG','TT','GC','GT','AG','CA','TA','GC','TC','GA'])
self.assertEqual(self.seq.getInMotifSize(3),
['ATG','ACG','TTG','CGT','AGC','ATA','GCT','CGA'])
def test_translate(self):
"""test of translating seqs"""
seq = Sequence(DNA, 'ATGACGTTGCGTAGCATAGCTCGA').getTranslation()
self.assertEqual(str(seq), 'MTLRSIAR')
def test_ambig_translate(self):
"""test of translating seqs"""
seq = Sequence(DNA, 'CGNTGN???---').getTranslation()
self.assertEqual(str(seq), 'RX?-')
def test_slidingWindows(self):
"""test sliding window along sequences"""
result = []
for bit in self.seq.slidingWindows(5,2):
result+=[bit]
self.assertEqual([str(x) for x in result],
['ATGAC', 'GACGT', 'CGTTG', 'TTGCG', 'GCGTA',
'GTAGC', 'AGCAT', 'CATAG', 'TAGCT', 'GCTCG'])
result = []
for bit in self.seq.slidingWindows(5,1):
result+=[bit]
self.assertEqual([str(x) for x in result],
['ATGAC', 'TGACG', 'GACGT', 'ACGTT', 'CGTTG',
'GTTGC', 'TTGCG', 'TGCGT', 'GCGTA', 'CGTAG',
'GTAGC', 'TAGCA', 'AGCAT', 'GCATA', 'CATAG',
'ATAGC', 'TAGCT', 'AGCTC', 'GCTCG', 'CTCGA'])
def test_reversecomplement(self):
"""testing reversal and complementing of a sequence"""
seq = Sequence(DNA, seq='ACTGTAA')
rev = seq.reversecomplement()
self.assertEqual(str(rev), 'TTACAGT')
seq = Sequence(DNA, seq='ACTG-TAA')
rev = seq.reversecomplement()
self.assertEqual(str(rev), 'TTA-CAGT')
#try amigbuities
seq = Sequence(DNA, seq='ACHNRTAA')
rev = seq.reversecomplement()
self.assertEqual(str(rev), 'TTAYNDGT')
def test_withoutTerminalStopCodon(self):
"""testing deleting terminal stop"""
# for standard code
seq = Sequence(DNA, seq='ACTTAA')
seq2 = seq.withoutTerminalStopCodon()
self.assertEqual(str(seq2), "ACT")
def test_hasTerminalStop(self):
"""test check for terminal stop codons"""
seq = Sequence(DNA, seq='ACTTAA')
assert seq.hasTerminalStop() == True
seq = Sequence(DNA, seq='ACTTAT') == False
try:
# only sequences with length divisible by 3 should work
seq = Sequence(DNA, seq='ACTTA')
seq.hasTerminalStop()
except AssertionError:
pass
if __name__ == '__main__':
unittest.main()
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