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Merge pull request #682 from nextstrain/mask-all-ambiguous
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Mask all ambiguous
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huddlej authored Feb 19, 2021
2 parents 05e76cf + eb41026 commit 698df3d
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Showing 2 changed files with 29 additions and 6 deletions.
34 changes: 28 additions & 6 deletions augur/ancestral.py
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
"""

import os, shutil, time, json, sys
import numpy as np
from Bio import Phylo, SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
Expand Down Expand Up @@ -60,7 +61,7 @@ def ancestral_sequence_inference(tree=None, aln=None, ref=None, infer_gtr=True,

return tt

def collect_mutations_and_sequences(tt, infer_tips=False, full_sequences=False, character_map=None):
def collect_mutations_and_sequences(tt, infer_tips=False, full_sequences=False, character_map=None, mask_ambiguous=True):
"""iterates of the tree and produces dictionaries with
mutations and sequences for each node.
Expand Down Expand Up @@ -91,14 +92,29 @@ def collect_mutations_and_sequences(tt, infer_tips=False, full_sequences=False,
data[n.name]['muts'] = [a+str(int(pos)+inc)+cm(d)
for a,pos,d in n.mutations]

mask=None
if full_sequences:
if mask_ambiguous:
# Identify sites for which every terminal sequence is ambiguous.
# These sites will be masked to prevent rounding errors in the
# maximum likelihood inference from assigning an arbitrary
# nucleotide to sites at internal nodes.
ambiguous_count = np.zeros(tt.sequence_length, dtype=int)
for n in tt.tree.get_terminals():
ambiguous_count += np.array(tt.sequence(n,reconstructed=False, as_string=False)==tt.gtr.ambiguous, dtype=int)
mask = ambiguous_count==len(tt.tree.get_terminals())
else:
mask = np.zeros(tt.sequence_length, dtype=bool)

for n in tt.tree.find_clades():
try:
data[n.name]['sequence'] = tt.sequence(n,reconstructed=infer_tips, as_string=True)
tmp = tt.sequence(n,reconstructed=infer_tips, as_string=False)
tmp[mask] = tt.gtr.ambiguous
data[n.name]['sequence'] = "".join(tmp)
except:
print("No sequence available for node ",n.name)

return data
return {"nodes": data, "mask": mask}


def register_arguments(parser):
Expand Down Expand Up @@ -177,14 +193,20 @@ def run(args):
else:
character_map[x] = x

anc_seqs['nodes'] = collect_mutations_and_sequences(tt, full_sequences=not is_vcf,
infer_tips=infer_ambiguous, character_map=character_map)
anc_seqs.update(collect_mutations_and_sequences(tt, full_sequences=not is_vcf,
infer_tips=infer_ambiguous, character_map=character_map))
# add reference sequence to json structure. This is the sequence with
# respect to which mutations on the tree are defined.
if is_vcf:
anc_seqs['reference'] = {"nuc":compress_seq['reference']}
else:
anc_seqs['reference'] = {"nuc":"".join(T.root.sequence) if hasattr(T.root, 'sequence') else ''}
root_seq = tt.sequence(T.root, as_string=False)
if anc_seqs.get("mask") is not None:
root_seq[anc_seqs['mask']] = tt.gtr.ambiguous
anc_seqs['reference'] = {"nuc": ''.join(root_seq)}

if anc_seqs.get("mask") is not None:
anc_seqs["mask"] = "".join(['1' if x else '0' for x in anc_seqs["mask"]])

out_name = get_json_name(args, '.'.join(args.alignment.split('.')[:-1]) + '_mutations.json')
write_json(anc_seqs, out_name)
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1 change: 1 addition & 0 deletions tests/builds/zika/results/nt_muts.json
Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
"program": "augur",
"version": "7.0.2"
},
"mask": "0000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000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00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000",
"nodes": {
"BRA/2016/FC_6706": {
"muts": [
Expand Down

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