def get_desired_ranks(taxid, desired_ranks):
ncbi = NCBITaxa()
lineage = ncbi.get_lineage(taxid)
names = ncbi.get_taxid_translator(lineage)
lineage2ranks = ncbi.get_rank(names)
ranks2lineage = dict(
(rank, taxid) for (taxid, rank) in lineage2ranks.items())
return [ranks2lineage.get(rank, '0') for rank in desired_ranks]
def get_rank(self, rank_level):
ncbi = NCBITaxa()
lineage = ncbi.get_lineage(self.tax_id)
ranks = ncbi.get_rank(lineage)
for rank in ranks.keys():
if ranks[rank] == rank_level:
return rank
return "N/A"
def get_rank(taxid, rank_level):
ncbi = NCBITaxa()
lineage = ncbi.get_lineage(taxid)
ranks = ncbi.get_rank(lineage)
for rank in ranks.keys():
if ranks[rank] == rank_level:
return rank
return "None"
def get_family(taxid):
ncbi = NCBITaxa()
lineage = ncbi.get_lineage(taxid)
ranks = ncbi.get_rank(lineage)
for rank in ranks.keys():
if ranks[rank] == 'family':
return rank
return "None"
def getNcbiTaxonomy():
ncbi = NCBITaxa()
nameToTaxIdList = ncbi.get_name_translator(ORGANISM_NAMES_LIST)
#print (str(nameToTaxIdList))
with open (OUTPUT_FILE, "w") as outputFile:
for name in ORGANISM_NAMES_LIST:
#for name, taxIds in nameToTaxIdList.items():
taxIds = nameToTaxIdList[name]
for eachId in taxIds:
lineage = ncbi.get_lineage(str(eachId))
names = ncbi.get_taxid_translator(lineage)
outputFile.write("\t".join([names[taxid] for taxid in lineage]) + "\n")
def get_desired_ranks(taxid, desired_ranks):
""" Gets the parent TaxID for a particular Taxon node.
Args:
taxid: Taxon Node whose parent TaxID at a given level needs
to be determined
desired_ranks: Parent Taxon level at which Taxon ID must be
determined.
Returns:
List of TaxIDs at particular taxon level
"""
ncbi = NCBITaxa()
lineage = ncbi.get_lineage(taxid)
names = ncbi.get_taxid_translator(lineage)
lineage2ranks = ncbi.get_rank(names)
ranks2lineage = dict(
(rank, taxid) for (taxid, rank) in lineage2ranks.items())
return [ranks2lineage.get(rank, '0') for rank in desired_ranks]
def run(args):
# add lineage profiles/stats
import re
from ete2 import PhyloTree, NCBITaxa
if not args.taxonomy and not args.info:
args.taxonomy = True
ncbi = NCBITaxa()
all_taxids = {}
all_names = set()
queries = []
if not args.search:
log.error('Search terms should be provided (i.e. --search) ')
sys.exit(-1)
for n in args.search:
queries.append(n)
try:
all_taxids[int(n)] = None
except ValueError:
all_names.add(n.strip())
# translate names
name2tax = ncbi.get_name_translator(all_names)
all_taxids.update([(v, None) for v in name2tax.values()])
not_found_names = all_names - set(name2tax.keys())
if args.fuzzy and not_found_names:
log.warn("%s unknown names", len(not_found_names))
for name in not_found_names:
# enable extension loading
tax, realname, sim = ncbi.get_fuzzy_name_translation(
name, args.fuzzy)
if tax:
all_taxids[tax] = None
name2tax[name] = tax
name2realname[name] = realname
name2score[name] = "Fuzzy:%0.2f" % sim
if args.taxonomy:
log.info("Dumping NCBI taxonomy of %d taxa..." % (len(all_taxids)))
t = ncbi.get_topology(all_taxids.keys(),
intermediate_nodes=args.full_lineage,
rank_limit=args.rank_limit,
collapse_subspecies=args.collapse_subspecies)
id2name = ncbi.get_taxid_translator([n.name for n in t.traverse()])
for n in t.traverse():
n.add_features(taxid=n.name)
n.add_features(sci_name=str(id2name.get(int(n.name), "?")))
n.name = "%s - %s" % (id2name.get(int(n.name), n.name), n.name)
lineage = ncbi.get_lineage(n.taxid)
n.add_features(
named_lineage='|'.join(ncbi.translate_to_names(lineage)))
dump(t,
features=[
"taxid", "name", "rank", "bgcolor", "sci_name",
"collapse_subspecies", "named_lineage"
])
elif args.info:
print '# ' + '\t'.join(
["Taxid", "Sci.Name", "Rank", "Named Lineage", "Taxid Lineage"])
translator = ncbi.get_taxid_translator(all_taxids)
ranks = ncbi.get_rank(all_taxids)
for taxid, name in translator.iteritems():
lineage = ncbi.get_lineage(taxid)
named_lineage = ','.join(ncbi.translate_to_names(lineage))
lineage_string = ','.join(map(str, lineage))
print '\t'.join([
str(taxid), name,
ranks.get(taxid, ''), named_lineage, lineage_string
])
def run(args):
# add lineage profiles/stats
import re
from ete2 import PhyloTree, NCBITaxa
# dump tree by default
if not args.tree and not args.info and not args.descendants:
args.tree = True
ncbi = NCBITaxa()
all_taxids = {}
all_names = set()
queries = []
if not args.search:
log.error('Search terms should be provided (i.e. --search) ')
sys.exit(-1)
for n in args.search:
queries.append(n)
try:
all_taxids[int(n)] = None
except ValueError:
all_names.add(n.strip())
# translate names
name2tax = ncbi.get_name_translator(all_names)
all_taxids.update([(v, None) for v in name2tax.values()])
not_found_names = all_names - set(name2tax.keys())
if args.fuzzy and not_found_names:
log.warn("%s unknown names", len(not_found_names))
for name in not_found_names:
# enable extension loading
tax, realname, sim = ncbi.get_fuzzy_name_translation(name, args.fuzzy)
if tax:
all_taxids[tax] = None
name2tax[name] = tax
name2realname[name] = realname
name2score[name] = "Fuzzy:%0.2f" %sim
if not_found_names:
log.warn("[%s] could not be translated into taxids!" %','.join(not_found_names))
if args.tree:
if len(all_taxids) == 1:
target_taxid = all_taxids.keys()[0]
log.info("Dumping NCBI descendants tree for %s" %(target_taxid))
t = ncbi.get_descendant_taxa(target_taxid, collapse_subspecies=args.collapse_subspecies, rank_limit=args.rank_limit, return_tree=True)
else:
log.info("Dumping NCBI taxonomy of %d taxa..." %(len(all_taxids)))
t = ncbi.get_topology(all_taxids.keys(),
intermediate_nodes=args.full_lineage,
rank_limit=args.rank_limit,
collapse_subspecies=args.collapse_subspecies)
id2name = ncbi.get_taxid_translator([n.name for n in t.traverse()])
for n in t.traverse():
n.add_features(taxid=n.name)
n.add_features(sci_name=str(id2name.get(int(n.name), "?")))
n.name = "%s - %s" %(id2name.get(int(n.name), n.name), n.name)
lineage = ncbi.get_lineage(n.taxid)
n.add_features(named_lineage = '|'.join(ncbi.translate_to_names(lineage)))
dump(t, features=["taxid", "name", "rank", "bgcolor", "sci_name",
"collapse_subspecies", "named_lineage"])
elif args.descendants:
log.info("Dumping NCBI taxonomy of %d taxa..." %(len(all_taxids)))
print '# ' + '\t'.join(["Taxid", "Sci.Name", "Rank", "descendant_taxids", "descendant_names"])
translator = ncbi.get_taxid_translator(all_taxids)
ranks = ncbi.get_rank(all_taxids)
for taxid in all_taxids:
descendants = ncbi.get_descendant_taxa(taxid, collapse_subspecies=args.collapse_subspecies, rank_limit=args.rank_limit)
print '\t'.join([str(taxid), translator.get(taxid, taxid), ranks.get(taxid, ''),
'|'.join(map(str, descendants)),
'|'.join(map(str, ncbi.translate_to_names(descendants)))])
elif args.info:
print '# ' + '\t'.join(["Taxid", "Sci.Name", "Rank", "Named Lineage", "Taxid Lineage"])
translator = ncbi.get_taxid_translator(all_taxids)
ranks = ncbi.get_rank(all_taxids)
for taxid, name in translator.iteritems():
lineage = ncbi.get_lineage(taxid)
named_lineage = ','.join(ncbi.translate_to_names(lineage))
lineage_string = ','.join(map(str, lineage))
print '\t'.join([str(taxid), name, ranks.get(taxid, ''), named_lineage, lineage_string])