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generate_flu_missingDates_dataset_run.py
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generate_flu_missingDates_dataset_run.py
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#!/usr/bin/env python
import datetime
import utility_functions_flu as flu_utils
import utility_functions_general as gen_utils
import utility_functions_beast as beast_utils
from Bio import AlignIO
import os,sys
import numpy as np
def _run_beast(aln_name, tree_name, known_dates_fraction, out_dir):
def log_post_process(log_file):
df = beast_utils.read_beast_log(log_file, np.max(dates.values()))
if df is None or df.shape[0] < 200:
print ("Beast log {} is corrupted or BEAST run did not finish".format(log_file))
return
inferred_LH = df['likelihood'][-50:].mean()
inferred_LH_std = df['likelihood'][-50:].std()
inferred_Tmrca = df['treeModel.rootHeight'][-50:].mean()
inferred_Tmrca_std = df['treeModel.rootHeight'][-50:].std()
inferred_Mu = df['clock.rate'][-50:].mean()
inferred_Mu_std = df['clock.rate'][-50:].std()
if not os.path.exists(beast_res_file):
try:
with open(beast_res_file, 'w') as of:
of.write("#Filename,KnownDatesFraction,LH,LH_std,Tmrca,Tmrca_std,Mu,Mu_std\n")
except:
pass
with open(beast_res_file, 'a') as of:
of.write("{},{},{},{},{},{},{},{}\n".format(
tree_name,
known_dates_fraction,
inferred_LH,
inferred_LH_std,
inferred_Tmrca,
inferred_Tmrca_std,
inferred_Mu,
inferred_Mu_std))
dates = flu_utils.make_known_dates_dict(aln_name, known_dates_fraction)
beast_out_dir = os.path.join(out_dir, 'beast_out')
if not os.path.exists(beast_out_dir):
try:
os.makedirs(beast_out_dir)
except:
pass
beast_prefix = os.path.join(beast_out_dir, subtree+filename_suffix)
flu_utils.run_beast(tree_name, aln_name, dates, beast_prefix,
log_post_process=log_post_process,
template_file="./resources/beast/template_bedford_et_al_2015.xml")
if __name__ == "__main__":
RUN_BEAST = True
RUN_TREETIME = True
print sys.argv[0]
out_dir = sys.argv[1]
subtree = sys.argv[2]
known_dates_fraction = float(sys.argv[3])
filename_suffix= sys.argv[4]
assert(known_dates_fraction > 0 and known_dates_fraction <= 1.0)
aln_name = subtree + ".fasta"
tree_name = subtree + ".nwk"
if RUN_TREETIME:
treetime_res_file = os.path.join(out_dir, "treetime_res.csv")
myTree = flu_utils.create_treetime_with_missing_dates(aln_name, tree_name, known_dates_fraction)
start = datetime.datetime.now()
myTree.run(root='best', relaxed_clock=False, max_iter=3, resolve_polytomies=True, do_marginal=False)
end = datetime.datetime.now()
if not os.path.exists(treetime_res_file):
try:
with open(treetime_res_file, 'w') as of:
of.write("#Filename,KnownDatesFraction,Tmrca,Mu,R^2(initial clock),R^2(internal nodes),RunTime(sec)\n")
except:
pass
with open(treetime_res_file, 'a') as of:
of.write("{},{},{},{},{},{},{}\n".format(
tree_name,
str(known_dates_fraction),
str(myTree.tree.root.numdate),
str(myTree.date2dist.clock_rate),
str(myTree.date2dist.r_val),
str(gen_utils.internal_regress(myTree)),
str((end-start).total_seconds()) ))
##
##
## precision of the date inference
##
##
aln = AlignIO.read(aln_name, 'fasta')
dates = {k.name: flu_utils.date_from_seq_name(k.name) for k in aln}
dTs = [(leaf.name, leaf.numdate, dates[leaf.name], leaf.numdate - dates[leaf.name])
for leaf in myTree.tree.get_terminals() if leaf.numdate_given is None]
dates_res_file = os.path.join(out_dir, "treetime_dates_res.csv")
if not os.path.exists(dates_res_file):
try:
with open(dates_res_file, 'w') as of:
of.write("#LeafName,KnownDatesFraction,Tmrca,LeafDate,LeafDate_real,LeafDateErr(years)\n")
except:
pass
with open(dates_res_file, 'a') as of:
of.write(
"\n".join(["{},{},{},{},{},{}".format(
dT[0],
str(known_dates_fraction),
str(myTree.tree.root.numdate),
str(dT[1]),
str(dT[2]),
str(dT[3])) for dT in dTs]) + "\n")
if RUN_BEAST:
beast_res_file = os.path.join(out_dir, "beast_res.csv")
_run_beast(aln_name, tree_name, known_dates_fraction, out_dir)