def merge(self, result, hit, syn):
'''
Input one hit from an exonerate output.
'''
assert(hit.name == result.name)
result.total_hits += 1
anchor = syn.anchor_target(hit.target)
# If no blocks map to the specified target contig, stop
if not anchor:
if not self.quiet:
msg = "%s is on a contig with no syntenic blocks: %s"
print(msg % (result.gene.name, str(hit.target)), file=sys.stderr)
return False
# stop if this hit already exists
for h in result.hits:
if h == hit:
return True
# Define the interval in which to search for neighbors in the target
target_flanks = intervals.Interval(
contig=anchor.contig,
start=max(0, anchor.start - self.target_flank_ratio * self.flank_width),
stop=(anchor.stop + self.target_flank_ratio * self.flank_width))
# If the query flanks have not yet been measured, do so
if not result.query_flanks:
result.query_flanks = intervals.Interval(
contig=result.gene.contig,
start=max(0, result.gene.start - self.flank_width),
stop=(result.gene.stop + self.flank_width))
# === my hacky first order solution ===
# I simply count the number of nearby (by an arbitrary cutoff) blocks
# that map to a region near the target interval. If there are more than
# a certain number, I keep the exonerate hit.
matching, total = (0, 0)
a, b = (result.lower, result.upper)
while intervals.overlaps(result.query_flanks, a):
total += 1
matching += intervals.overlaps(target_flanks, a.over)
a = a.last
while intervals.overlaps(result.query_flanks, b):
total += 1
matching += intervals.overlaps(target_flanks, b.over)
b = b.next
if matching >= self.min_neighbors:
result.hits.append(hit)
def _get_links(self, result, anchor):
'''
find contiguous synteny blocks in the query that all overlap gene
'''
m = anchor
links = []
while m and intervals.overlaps(m, result.gene):
links.append(m)
m = m.last
m = anchor.next
while m and intervals.overlaps(m, result.gene):
links.append(m)
m = m.next
links = sorted(links, key=lambda x: (x.start, x.stop))
return(links)
def test_overlaps(self):
a = intervals.Interval(contig='a', start=10, stop=20)
self.assertFalse(intervals.overlaps(a, self.a))
self.assertTrue(intervals.overlaps( a, self.b))
self.assertTrue(intervals.overlaps( a, self.c))
self.assertTrue(intervals.overlaps( a, self.d))
self.assertTrue(intervals.overlaps( a, self.e))
self.assertTrue(intervals.overlaps( a, self.f))
self.assertFalse(intervals.overlaps(a, self.g))
self.assertFalse(intervals.overlaps(a, self.h))
def _get_is_simple(self, anchor, context, syn):
# are all the intervals on the same contig?
all_on_same_contig = intervals.allequal((x.over.contig for x in context))
# make an interval describing the start and stop of the query context
qminstart = min(x.start for x in context)
qmaxstop = max(x.stop for x in context)
tminstart = min(x.over.start for x in context)
tmaxstop = max(x.over.stop for x in context)
query_bound = intervals.Interval(contig=anchor.contig, start=qminstart, stop=qmaxstop)
target_bound = intervals.Interval(contig=anchor.over.contig, start=tminstart, stop=tmaxstop)
has_outer = False
for q in syn.target.get_overlapping(target_bound):
if not intervals.overlaps(query_bound, q.over):
has_outer = True
break
is_simple = all_on_same_contig and not has_outer
return(is_simple)
