def get_parent_tip_ranks(self, tax_tree):
rank_tips = {}
rank_parent = {}
for node in tax_tree.traverse("postorder"):
if node.is_leaf() or node.is_root():
continue
tax_path = node.name
ranks = Taxonomy.split_rank_uid(tax_path)
rank_lvl = Taxonomy.lowest_assigned_rank_level(ranks)
if rank_lvl < 2:
continue
parent_ranks = Taxonomy.split_rank_uid(node.up.name)
parent_lvl = Taxonomy.lowest_assigned_rank_level(parent_ranks)
if parent_lvl < 1:
continue
rank_seqs = node.get_leaf_names()
rank_size = len(rank_seqs)
if rank_size < 2 or rank_size > self.reftree_size-4:
continue
# print rank_lvl, "\t", tax_path, "\t", rank_seqs, "\n"
rank_tips[tax_path] = node.get_leaf_names()
rank_parent[tax_path] = parent_ranks
return rank_parent, rank_tips
def get_parent_tip_ranks(self, tax_tree):
rank_tips = {}
rank_parent = {}
for node in tax_tree.traverse("postorder"):
if node.is_leaf() or node.is_root():
continue
tax_path = node.name
ranks = Taxonomy.split_rank_uid(tax_path)
rank_lvl = Taxonomy.lowest_assigned_rank_level(ranks)
if rank_lvl < 2:
continue
parent_ranks = Taxonomy.split_rank_uid(node.up.name)
parent_lvl = Taxonomy.lowest_assigned_rank_level(parent_ranks)
if parent_lvl < 1:
continue
rank_seqs = node.get_leaf_names()
rank_size = len(rank_seqs)
if rank_size < 2 or rank_size > self.reftree_size - 4:
continue
# print rank_lvl, "\t", tax_path, "\t", rank_seqs, "\n"
rank_tips[tax_path] = node.get_leaf_names()
rank_parent[tax_path] = parent_ranks
return rank_parent, rank_tips
def get_orig_ranks(self, seq_name):
nodes = self.tax_tree.get_leaves_by_name(seq_name)
if len(nodes) != 1:
print "FATAL ERROR: Sequence %s is not found in the taxonomic tree, or is present more than once!" % seq_name
sys.exit()
seq_node = nodes[0]
orig_ranks = Taxonomy.split_rank_uid(seq_node.up.name)
return orig_ranks
def run_leave_subtree_out_test(self):
job_name = self.cfg.subst_name("l1out_rank_%NAME%")
# if self.jplace_fname:
# jp = EpaJsonParser(self.jplace_fname)
# else:
#create file with subtrees
rank_parent, rank_tips = self.get_parent_tip_ranks(self.tax_tree)
subtree_list = list(rank_tips.items())
if len(subtree_list) == 0:
return 0
subtree_list_file = self.cfg.tmp_fname("treelist_%NAME%.txt")
with open(subtree_list_file, "w") as fout:
for rank_name, tips in subtree_list:
fout.write("%s\n" % " ".join(tips))
jp_list = self.raxml.run_epa(job_name,
self.refalign_fname,
self.reftree_fname,
self.optmod_fname,
mode="l1o_subtree",
subtree_fname=subtree_list_file)
subtree_count = 0
for jp in jp_list:
placements = jp.get_placement()
for place in placements:
ranks, lws = self.classify_seq(place)
tax_path = subtree_list[subtree_count][0]
orig_ranks = Taxonomy.split_rank_uid(tax_path)
rank_level = Taxonomy.lowest_assigned_rank_level(orig_ranks)
rank_prefix = self.tax_code.guess_rank_level_name(
orig_ranks, rank_level)[0]
rank_name = orig_ranks[rank_level]
if not rank_name.startswith(rank_prefix):
rank_name = rank_prefix + rank_name
parent_ranks = rank_parent[tax_path]
# print orig_ranks, "\n", parent_ranks, "\n", ranks, "\n"
mis_rec = self.check_rank_tax_labels(rank_name, parent_ranks,
ranks, lws)
if mis_rec:
self.misrank_conf_map[tax_path] = mis_rec['conf']
subtree_count += 1
return subtree_count
def run_leave_subtree_out_test(self):
job_name = self.cfg.subst_name("l1out_rank_%NAME%")
# if self.jplace_fname:
# jp = EpaJsonParser(self.jplace_fname)
# else:
#create file with subtrees
rank_parent, rank_tips = get_parent_tip_ranks(self.tax_tree)
subtree_list = rank_tips.items()
if len(subtree_list) == 0:
return 0
subtree_list_file = self.cfg.tmp_fname("treelist_%NAME%.txt")
with open(subtree_list_file, "w") as fout:
for rank_name, tips in subtree_list:
fout.write("%s\n" % " ".join(tips))
jp_list = self.raxml.run_epa(job_name, self.refalign_fname, self.reftree_fname, self.optmod_fname,
mode="l1o_subtree", subtree_fname=subtree_list_file)
subtree_count = 0
for jp in jp_list:
placements = jp.get_placement()
for place in placements:
ranks, lws = self.classify_seq(place)
tax_path = subtree_list[subtree_count][0]
orig_ranks = Taxonomy.split_rank_uid(tax_path)
rank_level = Taxonomy.lowest_assigned_rank_level(orig_ranks)
rank_prefix = self.guess_rank_level_name(orig_ranks, rank_level)[0]
rank_name = orig_ranks[rank_level]
if not rank_name.startswith(rank_prefix):
rank_name = rank_prefix + rank_name
parent_ranks = rank_parent[tax_path]
# print orig_ranks, "\n", parent_ranks, "\n", ranks, "\n"
mis_rec = self.check_rank_tax_labels(rank_name, parent_ranks, ranks, lws)
if mis_rec:
self.misrank_conf_map[tax_path] = mis_rec['conf']
subtree_count += 1
return subtree_count
def run_leave_subtree_out_test(self):
job_name = self.cfg.subst_name("l1out_rank_%NAME%")
# if self.jplace_fname:
# jp = EpaJsonParser(self.jplace_fname)
# else:
#create file with subtrees
rank_tips = {}
rank_parent = {}
for node in self.tax_tree.traverse("postorder"):
if node.is_leaf() or node.is_root():
continue
tax_path = node.name
ranks = Taxonomy.split_rank_uid(tax_path)
rank_lvl = Taxonomy.lowest_assigned_rank_level(ranks)
if rank_lvl < 2:
continue
parent_ranks = Taxonomy.split_rank_uid(node.up.name)
parent_lvl = Taxonomy.lowest_assigned_rank_level(parent_ranks)
if parent_lvl < 1:
continue
rank_seqs = node.get_leaf_names()
rank_size = len(rank_seqs)
if rank_size < 2 or rank_size > self.reftree_size-4:
continue
# print rank_lvl, "\t", tax_path, "\t", rank_seqs, "\n"
rank_tips[tax_path] = node.get_leaf_names()
rank_parent[tax_path] = parent_ranks
subtree_list = rank_tips.items()
if len(subtree_list) == 0:
return 0
subtree_list_file = self.cfg.tmp_fname("treelist_%NAME%.txt")
with open(subtree_list_file, "w") as fout:
for rank_name, tips in subtree_list:
fout.write("%s\n" % " ".join(tips))
jp_list = self.raxml.run_epa(job_name, self.refalign_fname, self.reftree_fname, self.optmod_fname,
mode="l1o_subtree", subtree_fname=subtree_list_file)
subtree_count = 0
for jp in jp_list:
placements = jp.get_placement()
for place in placements:
ranks, lws = self.classify_seq(place)
tax_path = subtree_list[subtree_count][0]
orig_ranks = Taxonomy.split_rank_uid(tax_path)
rank_level = Taxonomy.lowest_assigned_rank_level(orig_ranks)
rank_prefix = self.guess_rank_level_name(orig_ranks, rank_level)[0]
rank_name = orig_ranks[rank_level]
if not rank_name.startswith(rank_prefix):
rank_name = rank_prefix + rank_name
parent_ranks = rank_parent[tax_path]
# print orig_ranks, "\n", parent_ranks, "\n", ranks, "\n"
mis_rec = self.check_rank_tax_labels(rank_name, parent_ranks, ranks, lws)
if mis_rec:
self.misrank_conf_map[tax_path] = mis_rec['conf']
subtree_count += 1
return subtree_count
def test_rank_uid(self):
tax = self.taxonomy
for sid in tax.get_map().iterkeys():
self.assertEqual(tax.get_seq_ranks(sid), Taxonomy.split_rank_uid(tax.seq_rank_id(sid)))
def test_rank_uid(self):
tax = self.taxonomy
for sid in tax.get_map().iterkeys():
self.assertEqual(tax.get_seq_ranks(sid), Taxonomy.split_rank_uid(tax.seq_rank_id(sid)))
def run_leave_subtree_out_test(self):
job_name = self.cfg.subst_name("l1out_rank_%NAME%")
# if self.jplace_fname:
# jp = EpaJsonParser(self.jplace_fname)
# else:
#create file with subtrees
rank_tips = {}
rank_parent = {}
for node in self.tax_tree.traverse("postorder"):
if node.is_leaf() or node.is_root():
continue
tax_path = node.name
ranks = Taxonomy.split_rank_uid(tax_path)
rank_lvl = Taxonomy.lowest_assigned_rank_level(ranks)
if rank_lvl < 2:
continue
parent_ranks = Taxonomy.split_rank_uid(node.up.name)
parent_lvl = Taxonomy.lowest_assigned_rank_level(parent_ranks)
if parent_lvl < 1:
continue
rank_seqs = node.get_leaf_names()
rank_size = len(rank_seqs)
if rank_size < 2 or rank_size > self.reftree_size - 4:
continue
# print rank_lvl, "\t", tax_path, "\t", rank_seqs, "\n"
rank_tips[tax_path] = node.get_leaf_names()
rank_parent[tax_path] = parent_ranks
subtree_list = rank_tips.items()
if len(subtree_list) == 0:
return 0
subtree_list_file = self.cfg.tmp_fname("treelist_%NAME%.txt")
with open(subtree_list_file, "w") as fout:
for rank_name, tips in subtree_list:
fout.write("%s\n" % " ".join(tips))
jp_list = self.raxml.run_epa(job_name,
self.refalign_fname,
self.reftree_fname,
self.optmod_fname,
mode="l1o_subtree",
subtree_fname=subtree_list_file)
subtree_count = 0
for jp in jp_list:
placements = jp.get_placement()
for place in placements:
ranks, lws = self.classify_seq(place)
tax_path = subtree_list[subtree_count][0]
orig_ranks = Taxonomy.split_rank_uid(tax_path)
rank_level = Taxonomy.lowest_assigned_rank_level(orig_ranks)
rank_prefix = self.guess_rank_level_name(
orig_ranks, rank_level)[0]
rank_name = orig_ranks[rank_level]
if not rank_name.startswith(rank_prefix):
rank_name = rank_prefix + rank_name
parent_ranks = rank_parent[tax_path]
# print orig_ranks, "\n", parent_ranks, "\n", ranks, "\n"
mis_rec = self.check_rank_tax_labels(rank_name, parent_ranks,
ranks, lws)
if mis_rec:
self.misrank_conf_map[tax_path] = mis_rec['conf']
subtree_count += 1
return subtree_count
