if re.search(rna_string,k):
rna_seq = seqdict.get(k).upper()
elif re.search(gen_string,k):
gen_seq = seqdict.get(k).upper()
else:
ref_seq = seqdict.get(k).upper()
# Need to find beginning and end of aligned region
i = 0
j = 0
# Need to keep track of gen index
gen_index = 0
try:
# Compare genomic and RNA sequences to find local regions of good
# similarity, this is taken as the start and end of aligned region
while not sequence.compare_seqs((strings.gulp(rna_seq, i, size)),
(strings.gulp(gen_seq, i, size)), num_equal):
if gen_seq[i] != '-':
# If there is actually an amino acid in the genomic sequence
# we need to move the index ahead
gen_index += 1
i += 1
while not sequence.compare_seqs((strings.gulp(rna_seq[::-1], j, size)),
(strings.gulp(gen_seq[::-1], j, size)), num_equal):
j += 1
# If we get an index error then we cannot find start and end of both sequences
except(IndexError):
print "Could not discern aligned part of sequences"
# Exit cleanly
sys.exit(0)
def test_gulp_long_string(self):
long_string = "This is a very long string"
sub_string = strings.gulp(long_string, 0, 7)
self.assertEqual(sub_string, "This is")
gen_string = str(args.genomic)
# Sequences must be in upper-case
for k in seqdict.keys():
if re.search(rna_string, k):
rna_seq = seqdict.get(k).upper()
elif re.search(gen_string, k):
gen_seq = seqdict.get(k).upper()
# Need to find beginning and end of aligned region
i = 0
j = 0
try:
# Compare genomic and RNA sequences to find local regions of good
# similarity, this is taken as the start and end of aligned region
while not sequence.compare_seqs(
(strings.gulp(rna_seq, i, size)),
(strings.gulp(gen_seq, i, size)), num_equal):
#while not sequence.compare_seqs(gen_seq[i], rna_seq[i]):
i += 1
while not sequence.compare_seqs(
(strings.gulp(rna_seq[::-1], j, size)),
(strings.gulp(gen_seq[::-1], j, size)), num_equal):
#while not sequence.compare_seqs(gen_seq[-j], rna_seq[-j]):
j += 1
# If we get an index error then we cannot find start and end of both sequences
except (IndexError):
print "Could not discern aligned part of sequences"
# Exit cleanly
sys.exit(0)
# Once we know the start and end, simply chop off everything else
def test_gulp_index_largeer_than_string(self):
long_string = "Some string"
sub_string = strings.gulp(long_string, 0, 20)
self.assertEqual(sub_string, "Some string")
def test_gulp_nothingggg(self):
sub_string = strings.gulp("", 0, 0)
self.assertEqual(sub_string, "")
def test_gulp_long_string_0_length(self):
long_string = "This is a very long string"
sub_string = strings.gulp(long_string, 0, 0)
self.assertEqual(sub_string, "")
def test_gulp_long_string_reverse_indices(self):
long_string = "This is a very long string"
sub_string = strings.gulp(long_string, 7, 0)
self.assertEqual(sub_string, "")
elif re.search(gen_string,k):
gen_seq = seqdict.get(k).upper()
# We directly compare aligned sequences, but class implementation uses
# unaligned sequences (i.e. no gap characters '-')
san_rna_seq = strings.sanitize(rna_seq)
san_gen_seq = strings.sanitize(gen_seq)
seq_pair = classes.SeqPair(san_rna_seq,san_gen_seq,name)
# Find beginning and end of aligned region
i = 0
j = 0
try:
# Compare genomic and RNA sequences to find local regions of good
# similarity, this is taken as the start and end of aligned region
while not sequence.compare_seqs((strings.gulp(rna_seq, i, size)),
(strings.gulp(gen_seq, i, size)), num_equal):
# If we find residues in either sequence, we need to increment
# certain class values accordingly
if gen_seq[i] != '-':
seq_pair.incr_all()
if rna_seq[i] != '-':
seq_pair.incr_mrna()
i += 1
while not sequence.compare_seqs((strings.gulp(rna_seq[::-1], j, size)),
(strings.gulp(gen_seq[::-1], j, size)), num_equal):
j += 1
# If we get an index error then we cannot find start and end of both sequences
except(IndexError):
print "Could not discern aligned part of sequences for gene " + str(name)
# Exit cleanly
mnuc = seq_pair.lookup_mnuc()
gcod = seq_pair.lookup_gcodon()
mcod = seq_pair.lookup_mcodon()
gaa = seq_pair.lookup_gaa()
maa = seq_pair.lookup_maa()
scr = (matrices.Blosum62(gaa, maa).sub_score())
non_syn = sequence.check_nonsynonymous_edit(cpos, gcod, mnuc)
# We can identify whether the residue is present in a region of local
# 'T' concentration, i.e. polyT
if args.polyt:
# Test whether the base is in a region of 4 or more sequential 'T's
is_polyt = "N"
# Only look at first seven bases at the start
if i <= 4:
polyt_test_seq = strings.gulp(new_gen_seq, 0, 7)
# Only look at last seven bases at the end
elif i >= len(new_gen_seq) - 4:
polyt_test_seq = strings.gulp(new_gen_seq,
len(new_gen_seq)-7, 7)
# In the middle take 3 bases on either side (seven total)
else:
polyt_test_seq = strings.gulp(new_gen_seq, i-3, 7)
# Determine whether the region fits the definition of "polyT"
if sequence.polyT(polyt_test_seq):
is_polyt = "Y"
# Test whether the base is present in region of X % 'T'
is_polyt_percent = "N"
percent_polyt_seqs = []
for y in range(10): # i.e. for 10 base window
def test_gulp_long_string(self):
long_string = "This is a very long string"
sub_string = strings.gulp(long_string, 0, 7)
self.assertEqual(sub_string, "This is")
# If we want to calculate protein sequence similarity over the same
# stretch, we have to accept some inherent complexity
if args.protein:
# Note we are calculating similarity, not identity
# This is largely because of the difference between comparing
# four nucleotides versus 20 amino acids
gen_similarity_list = []
for i, (rg,rr) in enumerate(zip(new_gen_seq, new_ref_seq)):
similarity_sum = 0.0
# It is vital to know the current codon position
rpos = ref_pair.index_rposition()
gpos = ref_pair.index_gposition()
# Get the reference sequence for the window
rnuc_seq = strings.gulp(new_ref_seq, i, int(window_size))
# Using the right RF, translate the sequence
raa_seq = sequence.translate(rnuc_seq,rpos)
# Repeat this for the genomic sequence
gnuc_seq = strings.gulp(new_gen_seq, i, int(window_size))
gaa_seq = sequence.translate(gnuc_seq,gpos)
if (len(rnuc_seq) == int(window_size) and
len(gnuc_seq) == int(window_size)): # Sanity check!
# If the lengths aren't equal, align them
if len(raa_seq) != len(gaa_seq):
raa_seq,gaa_seq = sequence_alignment.affine_align(raa_seq,gaa_seq)
# Whether we align or not, continue on...
# Determine how similar raa_seq and gaa_seq are
for raa,gaa in zip(raa_seq,gaa_seq):
# Gaps are neutral
def test_gulp_nothingggg(self):
sub_string = strings.gulp("", 0,0)
self.assertEqual(sub_string, "")
def test_gulp_index_largeer_than_string(self):
long_string = "Some string"
sub_string = strings.gulp(long_string, 0, 20)
self.assertEqual(sub_string, "Some string")
def test_gulp_long_string_reverse_indices(self):
long_string = "This is a very long string"
sub_string = strings.gulp(long_string, 7, 0)
self.assertEqual(sub_string, "")
def test_gulp_long_string_0_length(self):
long_string = "This is a very long string"
sub_string = strings.gulp(long_string, 0, 0)
self.assertEqual(sub_string, "")
ref_pair2 = classes.RefPair(san_ref_seq,san_gen_seq,name)
# To use only synonymous edits, we need to have the corresponding
# amino acids for both the genomic and RNA sequences
# This is also the case for comparing RNA to reference
if args.synonymous:
san_gen_seq = strings.sanitize(gen_seq)
san_rna_seq = strings.sanitize(rna_seq)
seq_pair = classes.SeqPair(san_rna_seq,san_gen_seq,name)
# Find beginning and end of aligned region
i = 0
j = 0
try:
# Compare genomic and RNA sequences to find local regions of good
# similarity, this is taken as the start and end of aligned region
while not sequence.compare_seqs((strings.gulp(rna_seq, i, size)),
(strings.gulp(gen_seq, i, size)), num_equal):
if gen_seq[i] != '-':
# If we are using classes, need to update them as we go
if args.protein:
ref_pair.incr_all_gen()
if args.both:
ref_pair2.incr_all_gen()
if args.synonymous:
seq_pair.incr_all()
if ref_seq[i] != '-':
if args.protein:
ref_pair.incr_all_ref()
if args.both:
ref_pair2.incr_all_ref()
if rna_seq[i] != '-':
